| Title: | Network Visualization using 'vis.js' Library |
|---|---|
| Description: | Provides an R interface to the 'vis.js' JavaScript charting library. It allows an interactive visualization of networks. |
| Authors: | Almende B.V. and Contributors [aut, cph] (vis.js library in htmlwidgets/lib, https://visjs.org/, https://github.com/visjs/vis-network), Benoit Thieurmel [aut, cre] (R interface) |
| Maintainer: | Benoit Thieurmel <[email protected]> |
| License: | MIT + file LICENSE |
| Version: | 2.1.3 |
| Built: | 2024-11-21 04:35:50 UTC |
| Source: | https://github.com/datastorm-open/visnetwork |
Add libraries dependencies used in export visExport
addExport(graph, pdf = TRUE)addExport(graph, pdf = TRUE)
graph |
: a visNetwork object |
pdf |
: boolean. Add jsPDF or not ? |
graph htmlwidget with dependencies attached.
graph
Add Font-Awesome for styling
our graph with beautiful, professional icons. Please note
that you'll already have these icons if using Shiny.
Can also use addIonicons
addFontAwesome(graph, name = "font-awesome", version = c("4.7.0", "5.13.0"))addFontAwesome(graph, name = "font-awesome", version = c("4.7.0", "5.13.0"))
graph |
: a visNetwork object |
name |
: name of dependency |
version |
: fontawesome version. "4.7.0" (default) or "5.13.0" |
graph htmlwidget with Font-Awesome dependencies attached.
# use fontAwesome icons using groups or nodes options # font-awesome is not part of dependencies. use addFontAwesome() if needed. # Versions in package (and compatible with vis.js) : 4.7.0 & 5.13.0 # https://fontawesome.com/v4.7.0/ # https://fontawesome.com/ # cheatsheet available in package: # system.file("fontAwesome/Font_Awesome_Cheatsheet_4_7_0.pdf", package = "visNetwork") # definition in groups nodes <- data.frame(id = 1:3, group = c("B", "A", "B")) edges <- data.frame(from = c(1,2), to = c(2,3)) visNetwork(nodes, edges) %>% visGroups(groupname = "A", shape = "icon", icon = list(code = "f0c0", size = 75)) %>% visGroups(groupname = "B", shape = "icon", icon = list(code = "f007", color = "red")) %>% addFontAwesome(version = "4.7.0") # use 5.13.0 # set face = "'Font Awesome 5 Free'" # weight is automatically set to "bold" nodes <- data.frame(id = 1:3, group = c("B", "A", "B")) edges <- data.frame(from = c(1,2), to = c(2,3)) visNetwork(nodes, edges) %>% visGroups(groupname = "A", shape = "icon", icon = list(face = "'Font Awesome 5 Free'", code = "f0c0", size = 75)) %>% visGroups(groupname = "B", shape = "icon", icon = list(face = "'Font Awesome 5 Free'", code = "f007", color = "red")) %>% addFontAwesome(version = "5.13.0") # definition in nodes nodes <- data.frame(id = 1:3, shape = "icon", icon.face = 'FontAwesome', icon.code = "f0c0") edges <- data.frame(from = c(1,2), to = c(1,3)) visNetwork(nodes, edges) %>% addFontAwesome() # using shinydashboard : change name if needed visNetwork(nodes, edges) %>% addFontAwesome(name = "font-awesome-visNetwork")# use fontAwesome icons using groups or nodes options # font-awesome is not part of dependencies. use addFontAwesome() if needed. # Versions in package (and compatible with vis.js) : 4.7.0 & 5.13.0 # https://fontawesome.com/v4.7.0/ # https://fontawesome.com/ # cheatsheet available in package: # system.file("fontAwesome/Font_Awesome_Cheatsheet_4_7_0.pdf", package = "visNetwork") # definition in groups nodes <- data.frame(id = 1:3, group = c("B", "A", "B")) edges <- data.frame(from = c(1,2), to = c(2,3)) visNetwork(nodes, edges) %>% visGroups(groupname = "A", shape = "icon", icon = list(code = "f0c0", size = 75)) %>% visGroups(groupname = "B", shape = "icon", icon = list(code = "f007", color = "red")) %>% addFontAwesome(version = "4.7.0") # use 5.13.0 # set face = "'Font Awesome 5 Free'" # weight is automatically set to "bold" nodes <- data.frame(id = 1:3, group = c("B", "A", "B")) edges <- data.frame(from = c(1,2), to = c(2,3)) visNetwork(nodes, edges) %>% visGroups(groupname = "A", shape = "icon", icon = list(face = "'Font Awesome 5 Free'", code = "f0c0", size = 75)) %>% visGroups(groupname = "B", shape = "icon", icon = list(face = "'Font Awesome 5 Free'", code = "f007", color = "red")) %>% addFontAwesome(version = "5.13.0") # definition in nodes nodes <- data.frame(id = 1:3, shape = "icon", icon.face = 'FontAwesome', icon.code = "f0c0") edges <- data.frame(from = c(1,2), to = c(1,3)) visNetwork(nodes, edges) %>% addFontAwesome() # using shinydashboard : change name if needed visNetwork(nodes, edges) %>% addFontAwesome(name = "font-awesome-visNetwork")
graph
Add Ionicons for styling
our graph with beautiful, professional icons.
Can also use addFontAwesome
addIonicons(graph, name = "ionicons")addIonicons(graph, name = "ionicons")
graph |
: a visNetwork object |
name |
: name of dependency |
graph htmlwidget with Ionicons dependencies attached.
nodes <- data.frame(id = 1:3, group = c("B", "A", "B")) edges <- data.frame(from = c(1,2), to = c(2,3)) visNetwork(nodes, edges) %>% visGroups(groupname = "A", shape = "icon", icon = list(face ='Ionicons', code = "f101", size = 75)) %>% visGroups(groupname = "B", shape = "icon", icon = list(face ='Ionicons', code = "f100", color = "red")) %>% addIonicons()nodes <- data.frame(id = 1:3, group = c("B", "A", "B")) edges <- data.frame(from = c(1,2), to = c(2,3)) visNetwork(nodes, edges) %>% visGroups(groupname = "A", shape = "icon", icon = list(face ='Ionicons', code = "f101", size = 75)) %>% visGroups(groupname = "B", shape = "icon", icon = list(face ='Ionicons', code = "f100", color = "red")) %>% addIonicons()
Network visualization clustering options - by color.
visClusteringByColor( graph, colors, label = "Cluster on color : ", shape = "database", force = FALSE )visClusteringByColor( graph, colors, label = "Cluster on color : ", shape = "database", force = FALSE )
graph |
: a visNetwork object |
colors |
: Character/vector. colors we want to cluster |
label |
: Character. Label put before value(s). See example |
shape |
: Character. Shape of cluster(s) if different shapes between nodes or |
force |
: If |
set.seed(124) nodes <- data.frame(id = 1:10, color = c(rep("blue", 6), rep("red", 3), rep("green", 1))) edges <- data.frame(from = round(runif(6)*10), to = round(runif(6)*10)) visNetwork(nodes, edges) %>% visClusteringByColor(colors = c("blue")) nodes <- data.frame(id = 1:10, label = paste("Label", 1:10), group = sample(c("A", "B"), 10, replace = TRUE)) edges <- data.frame(from = c(2,5,10), to = c(1,2,10)) visNetwork(nodes, edges) %>% visGroups(groupname = "A", color = "red", shape = "square") %>% visGroups(groupname = "B", color = "yellow", shape = "triangle") %>% visClusteringByColor(colors = c("red"), label = "With color ") %>% visClusteringByGroup(groups = c("B"), label = "Group : ") %>% visLegend() visNetwork(nodes, edges) %>% visGroups(groupname = "A", color = "red", shape = "triangle") %>% visGroups(groupname = "B", color = "yellow", shape = "triangle") %>% visClusteringByGroup(groups = c("A","B")) %>% visLegend()set.seed(124) nodes <- data.frame(id = 1:10, color = c(rep("blue", 6), rep("red", 3), rep("green", 1))) edges <- data.frame(from = round(runif(6)*10), to = round(runif(6)*10)) visNetwork(nodes, edges) %>% visClusteringByColor(colors = c("blue")) nodes <- data.frame(id = 1:10, label = paste("Label", 1:10), group = sample(c("A", "B"), 10, replace = TRUE)) edges <- data.frame(from = c(2,5,10), to = c(1,2,10)) visNetwork(nodes, edges) %>% visGroups(groupname = "A", color = "red", shape = "square") %>% visGroups(groupname = "B", color = "yellow", shape = "triangle") %>% visClusteringByColor(colors = c("red"), label = "With color ") %>% visClusteringByGroup(groups = c("B"), label = "Group : ") %>% visLegend() visNetwork(nodes, edges) %>% visGroups(groupname = "A", color = "red", shape = "triangle") %>% visGroups(groupname = "B", color = "yellow", shape = "triangle") %>% visClusteringByGroup(groups = c("A","B")) %>% visLegend()
Network visualization clustering options - by node id
visClusteringByConnection(graph, nodes)visClusteringByConnection(graph, nodes)
graph |
: a visNetwork object |
nodes |
: Character/vector. id of nodes we want to cluster |
set.seed(124) nodes <- data.frame(id = 1:10, color = c(rep("blue", 6), rep("red", 3), rep("green", 1))) edges <- data.frame(from = round(runif(6)*10), to = round(runif(6)*10)) visNetwork(nodes, edges) %>% visClusteringByConnection(nodes = 9)set.seed(124) nodes <- data.frame(id = 1:10, color = c(rep("blue", 6), rep("red", 3), rep("green", 1))) edges <- data.frame(from = round(runif(6)*10), to = round(runif(6)*10)) visNetwork(nodes, edges) %>% visClusteringByConnection(nodes = 9)
Network visualization clustering options - by group.
visClusteringByGroup( graph, groups, label = "Cluster on group : ", shape = "database", color = "grey", force = FALSE, scale_size = TRUE )visClusteringByGroup( graph, groups, label = "Cluster on group : ", shape = "database", color = "grey", force = FALSE, scale_size = TRUE )
graph |
: a visNetwork object |
groups |
: Character/vector. groups we want to cluster |
label |
: Character. Label put before value(s). See example |
shape |
: Character. Shape of cluster(s) if different shapes between nodes or |
color |
: Character. Color of cluster(s) if different colors between nodes or |
force |
: If |
scale_size |
: Set size based on cluster population ? Default to TRUE. |
nodes <- data.frame(id = 1:10, label = paste("Label", 1:10), group = sample(c("A", "B"), 10, replace = TRUE)) edges <- data.frame(from = c(2,5,10), to = c(1,2,10)) visNetwork(nodes, edges) %>% visGroups(groupname = "A", color = "red", shape = "database") %>% visGroups(groupname = "B", color = "yellow", shape = "triangle") %>% visClusteringByGroup(groups = c("B"), label = "Group : ", shape = "ellipse", color = "blue", force = TRUE) %>% visLegend()nodes <- data.frame(id = 1:10, label = paste("Label", 1:10), group = sample(c("A", "B"), 10, replace = TRUE)) edges <- data.frame(from = c(2,5,10), to = c(1,2,10)) visNetwork(nodes, edges) %>% visGroups(groupname = "A", color = "red", shape = "database") %>% visGroups(groupname = "B", color = "yellow", shape = "triangle") %>% visClusteringByGroup(groups = c("B"), label = "Group : ", shape = "ellipse", color = "blue", force = TRUE) %>% visLegend()
Network visualization clustering options - by hubsize
visClusteringByHubsize(graph, size = NULL)visClusteringByHubsize(graph, size = NULL)
graph |
: a visNetwork object |
size |
: Integer. This method checks all nodes in the network and those with a equal or higher amount of edges than specified with size argument. If size is null (default), the size will be determined as the average value plus two standard deviations. |
set.seed(124) nodes <- data.frame(id = 1:10, color = c(rep("blue", 6), rep("red", 3), rep("green", 1))) edges <- data.frame(from = round(runif(6)*10), to = round(runif(6)*10)) visNetwork(nodes, edges) %>% visClusteringByHubsize() visNetwork(nodes, edges) %>% visClusteringByHubsize(size = 2)set.seed(124) nodes <- data.frame(id = 1:10, color = c(rep("blue", 6), rep("red", 3), rep("green", 1))) edges <- data.frame(from = round(runif(6)*10), to = round(runif(6)*10)) visNetwork(nodes, edges) %>% visClusteringByHubsize() visNetwork(nodes, edges) %>% visClusteringByHubsize(size = 2)
Network visualization clustering options - outliers
visClusteringOutliers(graph, clusterFactor = 0.9, stabilize = FALSE)visClusteringOutliers(graph, clusterFactor = 0.9, stabilize = FALSE)
graph |
: a visNetwork object |
clusterFactor |
: Number, from 0 to 1. 0.9 by default |
stabilize |
: Boolean, default to false |
nodes <- data.frame(id = 1:10) edges <- data.frame(from = c(1,1,10,2,6,7,8,9,10), to = c(2,3,4,5,2,5,6,7,9)) visNetwork(nodes, edges) %>% visClusteringOutliers(1)nodes <- data.frame(id = 1:10) edges <- data.frame(from = c(1,1,10,2,6,7,8,9,10), to = c(2,3,4,5,2,5,6,7,9)) visNetwork(nodes, edges) %>% visClusteringOutliers(1)
Network visualization configure options. For full documentation, have a look at visDocumentation.
visConfigure( graph, enabled = NULL, filter = NULL, container = NULL, showButton = NULL )visConfigure( graph, enabled = NULL, filter = NULL, container = NULL, showButton = NULL )
graph |
: a visNetwork object |
enabled |
: Boolean. Default to true. Toggle the configuration interface on or off. This is an optional parameter. If left undefined and any of the other properties of this object are defined, this will be set to true. |
filter |
: String, Array, Boolean, Function. Default to true. When a boolean, true gives you all options, false will not show any. If a string is supplied, any combination of the following is allowed: nodes, edges, layout, interaction, manipulation, physics, selection, renderer. Feel free to come up with a fun seperating character. Finally, when supplied an array of strings, any of the previously mentioned fields are accepted. |
container |
: DOM element. This allows you to put the configure list in another HTML container than below the network. |
showButton |
: Boolean. Default to true. Show the generate options button at the bottom of the configurator. |
See online documentation https://datastorm-open.github.io/visNetwork/
visConfigure, visTree, visNetworkEditor
## Not run: nodes <- data.frame(id = 1:3, title = paste0("<p>", 1:3,"<br> tooltip</p>")) edges <- data.frame(from = c(1,2), to = c(1,3)) visNetwork(nodes, edges) %>% visConfigure(enabled = TRUE, filter = "interaction") # using visNetworkEditor network <- visNetwork(nodes, edges) custom_network <- visNetworkEditor(object = network) custom_network custom_network <- visNetworkEditor(object = network, filter = "nodes,edges") custom_network ## End(Not run)## Not run: nodes <- data.frame(id = 1:3, title = paste0("<p>", 1:3,"<br> tooltip</p>")) edges <- data.frame(from = c(1,2), to = c(1,3)) visNetwork(nodes, edges) %>% visConfigure(enabled = TRUE, filter = "interaction") # using visNetworkEditor network <- visNetwork(nodes, edges) custom_network <- visNetworkEditor(object = network) custom_network custom_network <- visNetworkEditor(object = network, filter = "nodes,edges") custom_network ## End(Not run)
View full documentation of vis.js on network
visDocumentation()visDocumentation()
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: visDocumentation() ## End(Not run)## Not run: visDocumentation() ## End(Not run)
Network visualization edges options. For full documentation, have a look at visDocumentation.
visEdges( graph, title = NULL, value = NULL, label = NULL, length = NULL, width = NULL, dashes = NULL, hidden = NULL, hoverWidth = NULL, id = NULL, physics = NULL, selectionWidth = NULL, selfReferenceSize = NULL, selfReference = NULL, labelHighlightBold = NULL, color = NULL, font = NULL, arrows = NULL, arrowStrikethrough = NULL, smooth = NULL, shadow = NULL, scaling = NULL, widthConstraint = NULL, chosen = NULL, endPointOffset = NULL )visEdges( graph, title = NULL, value = NULL, label = NULL, length = NULL, width = NULL, dashes = NULL, hidden = NULL, hoverWidth = NULL, id = NULL, physics = NULL, selectionWidth = NULL, selfReferenceSize = NULL, selfReference = NULL, labelHighlightBold = NULL, color = NULL, font = NULL, arrows = NULL, arrowStrikethrough = NULL, smooth = NULL, shadow = NULL, scaling = NULL, widthConstraint = NULL, chosen = NULL, endPointOffset = NULL )
graph |
: a visNetwork object |
title |
: String. Default to undefined. The title is shown in a pop-up when the mouse moves over the edge. |
value |
: Number. Default to undefined. When a value is set, the edges' width will be scaled using the options in the scaling object defined above. |
label |
: String. Default to undefined. The label of the edge. HTML does not work in here because the network uses HTML5 Canvas. |
length |
: Number. Default to undefined. The physics simulation gives edges a spring length. This value can override the length of the spring in rest. |
width |
: Number. Default to 1. The width of the edge. If value is set, this is not used. |
dashes |
: Array or Boolean. Default to false. When true, the edge will be drawn as a dashed line. You can customize the dashes by supplying an Array. Array formart: Array of numbers, gap length, dash length, gap length, dash length, ... etc. The array is repeated until the distance is filled. When using dashed lines in IE versions older than 11, the line will be drawn straight, not smooth. |
|
: Boolean. Default to false. When true, the edge is not drawn. It is part still part of the physics simulation however! |
|
hoverWidth |
: Number or Function. Default to 0.5. Assuming the hover behaviour is enabled in the interaction module, the hoverWidth determines the width of the edge when the user hovers over it with the mouse. If a number is supplied, this number will be added to the width. Because the width can be altered by the value and the scaling functions, a constant multiplier or added value may not give the best results. To solve this, you can supply a function. |
id |
: String. Default to undefined. The id of the edge. The id is optional for edges. When not supplied, an UUID will be assigned to the edge. |
physics |
: Boolean. Default to true. When true, the edge is part of the physics simulation. When false, it will not act as a spring. |
selectionWidth |
: Number or Function. Default to 1. The selectionWidth determines the width of the edge when the edge is selected. If a number is supplied, this number will be added to the width. Because the width can be altered by the value and the scaling functions, a constant multiplier or added value may not give the best results. To solve this, you can supply a function. |
selfReferenceSize |
: Number. Default to false. When the to and from nodes are the same, a circle is drawn. This is the radius of that circle. This property is deprecated please use selfReference instead. |
selfReference |
: See visDocumentation |
labelHighlightBold |
: Boolean. Default to true. Determines whether or not the label becomes bold when the edge is selected. |
color |
: Named list or String. Default to named list. Color information of the edge in every situation. Can be 'rgba(120,32,14,1)', '#97C2FC' (hexa notation on 7 char without transparency) or 'red'.
|
font |
: Named list or String. This object defines the details of the label. A shorthand is also supported in the form 'size face color' for example: '14px arial red'
|
arrows |
: Named list or String. To draw an arrow with default settings a string can be supplied. For example: 'to, from,middle' or 'to;from', any combination with any seperating symbol is fine. If you want to control the size of the arrowheads, you can supply an object. See visDocumentation |
arrowStrikethrough |
: Boolean. Default to True. When false, the edge stops at the arrow. This can be useful if you have thick lines and you want the arrow to end in a point. Middle arrows are not affected by this. |
smooth |
: Boolean | named list. Default to named list. When true, the edge is drawn as a dynamic quadratic bezier curve. The drawing of these curves takes longer than that of straight curves but it looks better.
|
shadow |
: Boolean | named list. Default to false. When true, the edges casts a shadow using the default settings. This can be further refined by supplying a list
|
scaling |
: Named list. If the value option is specified, the size of the edges will be scaled according to the properties in this object.
|
widthConstraint |
: See visDocumentation |
chosen |
: See visDocumentation |
endPointOffset |
: See visDocumentation |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
nodes <- data.frame(id = 1:3) edges <- data.frame(from = c(1,2), to = c(1,3)) # arrows visNetwork(nodes, edges) %>% visEdges(arrows = 'from') visNetwork(nodes, edges) %>% visEdges(arrows = 'to, from') ## Not run: visNetwork(nodes, edges) %>% visEdges(arrows = list(to = list(enabled = TRUE, scaleFactor = 2, type = 'circle'))) # global smooth visNetwork(nodes, edges) %>% visEdges(smooth = FALSE) visNetwork(nodes, edges) %>% visEdges(smooth = list(enabled = TRUE, type = "diagonalCross")) # individual smooth edges <- data.frame(from = c(1,2), to = c(2,3)) edges$smooth.enabled <- c(TRUE, TRUE) edges$smooth.type <- c("discrete", "curvedCW") edges$smooth.roundness <- c(0.5, 1) visNetwork(nodes, edges) # width visNetwork(nodes, edges) %>% visEdges(width = 10) # color visNetwork(nodes, edges) %>% visEdges(color = list(hover = "green")) %>% visInteraction(hover = TRUE) visNetwork(nodes, edges) %>% visEdges(color = "red") visNetwork(nodes, edges) %>% visEdges(color = list(color = "red", highlight = "yellow")) # shadow visNetwork(nodes, edges) %>% visEdges(shadow = TRUE) visNetwork(nodes, edges) %>% visEdges(shadow = list(enabled = TRUE, size = 5)) # arrows visNetwork(nodes, edges) %>% visEdges(arrows = list(to = list(enabled = TRUE, type = "bar"))) # dashes # globally visNetwork(nodes, edges) %>% visEdges(dashes = TRUE) # set configuration individualy # have to use specific notation... nodes <- data.frame(id = 1:3) edges <- data.frame(from = c(1,2), to = c(1,3), dashes = c("[10,10,2,2]", "false")) visNetwork(nodes, edges) edges <- data.frame(from = c(1,2), to = c(1,3), dashes = c("[10,10,2,2]", "[2]")) visNetwork(nodes, edges) ## End(Not run)nodes <- data.frame(id = 1:3) edges <- data.frame(from = c(1,2), to = c(1,3)) # arrows visNetwork(nodes, edges) %>% visEdges(arrows = 'from') visNetwork(nodes, edges) %>% visEdges(arrows = 'to, from') ## Not run: visNetwork(nodes, edges) %>% visEdges(arrows = list(to = list(enabled = TRUE, scaleFactor = 2, type = 'circle'))) # global smooth visNetwork(nodes, edges) %>% visEdges(smooth = FALSE) visNetwork(nodes, edges) %>% visEdges(smooth = list(enabled = TRUE, type = "diagonalCross")) # individual smooth edges <- data.frame(from = c(1,2), to = c(2,3)) edges$smooth.enabled <- c(TRUE, TRUE) edges$smooth.type <- c("discrete", "curvedCW") edges$smooth.roundness <- c(0.5, 1) visNetwork(nodes, edges) # width visNetwork(nodes, edges) %>% visEdges(width = 10) # color visNetwork(nodes, edges) %>% visEdges(color = list(hover = "green")) %>% visInteraction(hover = TRUE) visNetwork(nodes, edges) %>% visEdges(color = "red") visNetwork(nodes, edges) %>% visEdges(color = list(color = "red", highlight = "yellow")) # shadow visNetwork(nodes, edges) %>% visEdges(shadow = TRUE) visNetwork(nodes, edges) %>% visEdges(shadow = list(enabled = TRUE, size = 5)) # arrows visNetwork(nodes, edges) %>% visEdges(arrows = list(to = list(enabled = TRUE, type = "bar"))) # dashes # globally visNetwork(nodes, edges) %>% visEdges(dashes = TRUE) # set configuration individualy # have to use specific notation... nodes <- data.frame(id = 1:3) edges <- data.frame(from = c(1,2), to = c(1,3), dashes = c("[10,10,2,2]", "false")) visNetwork(nodes, edges) edges <- data.frame(from = c(1,2), to = c(1,3), dashes = c("[10,10,2,2]", "[2]")) visNetwork(nodes, edges) ## End(Not run)
Network visualization events. For full documentation, have a look at visDocumentation.
Use type = "once" to set an event listener only once, and type = "off" to disable all the related events.
visEvents( graph, type = "on", click = NULL, doubleClick = NULL, oncontext = NULL, hold = NULL, release = NULL, select = NULL, selectNode = NULL, selectEdge = NULL, deselectNode = NULL, deselectEdge = NULL, dragStart = NULL, dragging = NULL, dragEnd = NULL, controlNodeDragging = NULL, controlNodeDragEnd = NULL, hoverNode = NULL, blurNode = NULL, hoverEdge = NULL, blurEdge = NULL, zoom = NULL, showPopup = NULL, hidePopup = NULL, startStabilizing = NULL, stabilizationProgress = NULL, stabilizationIterationsDone = NULL, stabilized = NULL, resize = NULL, initRedraw = NULL, beforeDrawing = NULL, afterDrawing = NULL, animationFinished = NULL, configChange = NULL )visEvents( graph, type = "on", click = NULL, doubleClick = NULL, oncontext = NULL, hold = NULL, release = NULL, select = NULL, selectNode = NULL, selectEdge = NULL, deselectNode = NULL, deselectEdge = NULL, dragStart = NULL, dragging = NULL, dragEnd = NULL, controlNodeDragging = NULL, controlNodeDragEnd = NULL, hoverNode = NULL, blurNode = NULL, hoverEdge = NULL, blurEdge = NULL, zoom = NULL, showPopup = NULL, hidePopup = NULL, startStabilizing = NULL, stabilizationProgress = NULL, stabilizationIterationsDone = NULL, stabilized = NULL, resize = NULL, initRedraw = NULL, beforeDrawing = NULL, afterDrawing = NULL, animationFinished = NULL, configChange = NULL )
graph |
: a visNetwork object |
type |
: Character. "on" (Default) to full listener, "once" to set an event listener only once, or "off" to disable a listener. |
click |
: Fired when the user clicks the mouse or taps on a touchscreen device. |
doubleClick |
: Fired when the user double clicks the mouse or double taps on a touchscreen device. Since a double click is in fact 2 clicks, 2 click events are fired, followed by a double click event. If you do not want to use the click events if a double click event is fired, just check the time between click events before processing them. |
oncontext |
: Fired when the user click on the canvas with the right mouse button. The right mouse button does not select by default. You can use the method getNodeAt to select the node if you want. |
hold |
: Fired when the user clicks and holds the mouse or taps and holds on a touchscreen device. A click event is also fired in this case. |
release |
: Fired after drawing on the canvas has been completed. Can be used to draw on top of the network. |
select |
: Fired when the selection has changed by user action. This means a node or edge has been selected, added to the selection or deselected. All select events are only triggered on click and hold. |
selectNode |
: Fired when a node has been selected by the user. |
selectEdge |
: Fired when a edge has been selected by the user. |
deselectNode |
: Fired when a node (or nodes) has (or have) been deselected by the user. The previous selection is the list of nodes and edges that were selected before the last user event. |
deselectEdge |
: Fired when a edge (or edges) has (or have) been deselected by the user. The previous selection is the list of nodes and edges that were selected before the last user event. |
dragStart |
: Fired when starting a drag. |
dragging |
: Fired when dragging node(s) or the view. |
dragEnd |
: Fired when the drag has finished. |
controlNodeDragging |
: Fired when dragging control node. Control Edge is edge that is being dragged and contains ids of 'from' and 'to' nodes. If control node is not dragged over another node, 'to' field is undefined. See visDocumentation. |
controlNodeDragEnd |
: Fired when the control node drag has finished. See visDocumentation. |
hoverNode |
: Fired interaction:hover:true and the mouse hovers over a node. |
blurNode |
: Fired interaction:hover:true and the mouse moved away from a node it was hovering over before. |
hoverEdge |
: Fired interaction:hover:true and the mouse hovers over a edge |
blurEdge |
: Fired interaction:hover:true and the mouse moved away from a edge it was hovering over before. |
zoom |
: Fired when the user zooms in or out. The properties tell you which direction the zoom is in. The scale is a number greater than 0, which is the same that you get with network.getScale(). |
showPopup |
: Fired when the popup (tooltip) is shown. |
hidePopup |
: Fired when the popup (tooltip) is hidden. |
startStabilizing |
: Fired when stabilization starts. This is also the case when you drag a node and the physics simulation restarts to stabilize again. Stabilization does not neccesarily imply 'without showing'. |
stabilizationProgress |
: Fired when a multiple of the updateInterval number of iterations is reached. This only occurs in the 'hidden' stabilization. Passes an object with properties structured as: |
stabilizationIterationsDone |
: Fired when the 'hidden' stabilization finishes. This does not necessarily mean the network is stabilized; it could also mean that the amount of iterations defined in the options has been reached. |
stabilized |
: Fired when the network has stabilized or when the stopSimulation() has been called. The amount of iterations it took could be used to tweak the maximum amount of iterations needed to stabilize the network. |
resize |
: Fired when the size of the canvas has been resized, either by a redraw call when the container div has changed in size, a setSize() call with new values or a setOptions() with new width and/or height values. |
initRedraw |
: Fired before the redrawing begins. The simulation step has completed at this point. Can be used to move custom elements before starting drawing the new frame. |
beforeDrawing |
: Fired after the canvas has been cleared, scaled and translated to the viewing position but before all edges and nodes are drawn. Can be used to draw behind the network. |
afterDrawing |
: Fired after drawing on the canvas has been completed. Can be used to draw on top of the network. |
animationFinished |
: Fired when an animation is finished. |
configChange |
: Fired when a user changes any option in the configurator. The options object can be used with the setOptions method or stringified using JSON.stringify(). You do not have to manually put the options into the network: this is done automatically. You can use the event to store user options in the database. |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
nodes <- data.frame(id = 1:3) edges <- data.frame(from = c(1,2), to = c(1,3)) visNetwork(nodes, edges) %>% visEvents(select = "function(properties) { alert('selected nodes: ' + properties.nodes);}", dragEnd = "function(properties) { alert('finish to drag');}") # set one visNetwork(nodes, edges) %>% visEvents(type = "once", select = "function() { alert('first selection');}") %>% visEvents(select = "function(properties) { alert('selected nodes: ' + properties.nodes);}", dragEnd = "function(properties) { alert('finish to drag');}") # use this to get the network visNetwork(nodes, edges) %>% visEvents(type = "once", startStabilizing = "function() { this.moveTo({scale:0.1})}") %>% visPhysics(stabilization = FALSE) # shift+click, ..... visNetwork(nodes, edges) %>% visEvents(click = "function(e) { if(e.event.srcEvent.shiftKey){ alert('shift+click event') } else if(e.event.srcEvent.ctrlKey){ alert('ctrl+click event') }else if(e.event.srcEvent.altKey){ alert('alt+click event') } else { alert('click event') } }")nodes <- data.frame(id = 1:3) edges <- data.frame(from = c(1,2), to = c(1,3)) visNetwork(nodes, edges) %>% visEvents(select = "function(properties) { alert('selected nodes: ' + properties.nodes);}", dragEnd = "function(properties) { alert('finish to drag');}") # set one visNetwork(nodes, edges) %>% visEvents(type = "once", select = "function() { alert('first selection');}") %>% visEvents(select = "function(properties) { alert('selected nodes: ' + properties.nodes);}", dragEnd = "function(properties) { alert('finish to drag');}") # use this to get the network visNetwork(nodes, edges) %>% visEvents(type = "once", startStabilizing = "function() { this.moveTo({scale:0.1})}") %>% visPhysics(stabilization = FALSE) # shift+click, ..... visNetwork(nodes, edges) %>% visEvents(click = "function(e) { if(e.event.srcEvent.shiftKey){ alert('shift+click event') } else if(e.event.srcEvent.ctrlKey){ alert('ctrl+click event') }else if(e.event.srcEvent.altKey){ alert('alt+click event') } else { alert('click event') } }")
Network export configuration. This function only work within shiny or a web browser.
visExport( graph, type = "png", name = "network", label = paste0("Export as ", type), background = "#fff", float = "right", style = NULL, loadDependencies = TRUE, ... )visExport( graph, type = "png", name = "network", label = paste0("Export as ", type), background = "#fff", float = "right", style = NULL, loadDependencies = TRUE, ... )
graph |
: a visNetwork object |
type |
: Type of export. One of "png" (default), "jpeg" or "pdf" |
name |
: name of imgage, default to "network" |
label |
: Label on button, default to "Export as png/jpeg/pdf" |
background |
: background color, default to white (#fff). Work only if network background is transparent. |
float |
: button postion, default to "right" |
style |
: button css style. |
loadDependencies |
/ Boolean. TRUE by default. Load libraries for export (fileSaver, Blob, canvastoBlob, html2canvas, jsPDF) |
... |
: arguments for addExport |
See online documentation https://datastorm-open.github.io/visNetwork/
## Not run: nodes <- data.frame(id = 1:3, group = c("B", "A", "B")) edges <- data.frame(from = c(1,2), to = c(2,3)) visNetwork(nodes, edges) %>% visGroups(groupname = "A", color = "red") %>% visGroups(groupname = "B", color = "lightblue") %>% visLegend() %>% visExport() visNetwork(nodes, edges) %>% visGroups(groupname = "A", color = "red") %>% visGroups(groupname = "B", color = "lightblue") %>% visLegend() %>% visExport(type = "jpeg", name = "export-network", float = "left", label = "Save network", background = "purple", style= "") ## End(Not run)## Not run: nodes <- data.frame(id = 1:3, group = c("B", "A", "B")) edges <- data.frame(from = c(1,2), to = c(2,3)) visNetwork(nodes, edges) %>% visGroups(groupname = "A", color = "red") %>% visGroups(groupname = "B", color = "lightblue") %>% visLegend() %>% visExport() visNetwork(nodes, edges) %>% visGroups(groupname = "A", color = "red") %>% visGroups(groupname = "B", color = "lightblue") %>% visLegend() %>% visExport(type = "jpeg", name = "export-network", float = "left", label = "Save network", background = "purple", style= "") ## End(Not run)
For use fit() method in a shiny app. For full documentation, have a look at visDocumentation.
visFit( graph, nodes = NULL, animation = list(duration = 1500, easingFunction = "easeInOutQuad") )visFit( graph, nodes = NULL, animation = list(duration = 1500, easingFunction = "easeInOutQuad") )
graph |
: a |
nodes |
: NULL for all nodes (Default), or a vector of nodes id |
animation |
: Optional. List. For animation you can define the duration (in milliseconds) and easing function manually. Available are: linear, easeInQuad, easeOutQuad, easeInOutQuad, easeInCubic, easeOutCubic, easeInOutCubic, easeInQuart, easeOutQuart, easeInOutQuart, easeInQuint, easeOutQuint, easeInOutQuint. Default to list(duration = 1500, easingFunction = "easeInOutQuad") |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
For use focus() method in a shiny app. For full documentation, have a look at visDocumentation.
visFocus( graph, id, scale = 2, offset = list(x = 0, y = 0), locked = TRUE, animation = list(duration = 1500, easingFunction = "easeInOutQuad") )visFocus( graph, id, scale = 2, offset = list(x = 0, y = 0), locked = TRUE, animation = list(duration = 1500, easingFunction = "easeInOutQuad") )
graph |
: a |
id |
: a node id |
scale |
: Optional. Number. The scale is the target zoomlevel. Default value is 2.0. |
offset |
: Optional. List. The offset (in DOM units) is how many pixels from the center the view is focussed. Default value is list(x = 0, y = 0). |
locked |
: Optional. Boolean. Locked denotes whether or not the view remains locked to the node once the zoom-in animation is finished. Default value is true. |
animation |
: Optional. List. For animation you can define the duration (in milliseconds) and easing function manually. Available are: linear, easeInQuad, easeOutQuad, easeInOutQuad, easeInCubic, easeOutCubic, easeInOutCubic, easeInQuart, easeOutQuart, easeInOutQuart, easeInQuint, easeOutQuint, easeInOutQuint. Default to list(duration = 1500, easingFunction = "easeInOutQuad") |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
Method getBoundingBox, with shiny only. Returns a bounding box for the node including label in the format. These values are in canvas space.
visGetBoundingBox(graph, id, input = paste0(graph$id, "_boundingBox"))visGetBoundingBox(graph, id, input = paste0(graph$id, "_boundingBox"))
graph |
: a |
id |
: a node or edge id |
input |
: name of shiny input created. Default to paste0(graph$id, "_boundingBox") |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
Method getConnectedEdges, with shiny only. Returns a vector of edgeIds of the edges connected to this node.
visGetConnectedEdges(graph, id, input = paste0(graph$id, "_connectedEdges"))visGetConnectedEdges(graph, id, input = paste0(graph$id, "_connectedEdges"))
graph |
: a |
id |
: a node id |
input |
: name of shiny input created. Default to paste0(graph$id, "_connectedEdges") |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
Method getConnectedNodes, with shiny only. Returns a vector of nodeIds of the all the nodes that are directly connected to this node. If you supply an edgeId, vis will first match the id to nodes.
visGetConnectedNodes(graph, id, input = paste0(graph$id, "_connectedNodes"))visGetConnectedNodes(graph, id, input = paste0(graph$id, "_connectedNodes"))
graph |
: a |
id |
: a node or edge id |
input |
: name of shiny input created. Default to paste0(graph$id, "_connectedNodes") |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
Function to get edges data, with shiny only
visGetEdges(graph, input = paste0(graph$id, "_edges"))visGetEdges(graph, input = paste0(graph$id, "_edges"))
graph |
: a |
input |
: name of shiny input created. Default to paste0(graph$id, "_edges") |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
Function to get nodes data, with shiny only.
visGetNodes(graph, input = paste0(graph$id, "_nodes"), addCoordinates = T)visGetNodes(graph, input = paste0(graph$id, "_nodes"), addCoordinates = T)
graph |
: a |
input |
: name of shiny input created. Default to paste0(graph$id, "_nodes") |
addCoordinates |
: Boolean. Add coordinates to nodes data ? Default to TRUE. |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
For use getPositions() method in a shiny app. For full documentation, have a look at visDocumentation.
visGetPositions(graph, nodes = NULL, input = paste0(graph$id, "_positions"))visGetPositions(graph, nodes = NULL, input = paste0(graph$id, "_positions"))
graph |
: a |
nodes |
: NULL for all nodes (Default), or a vector of nodes id |
input |
: name of shiny input created. Default to paste0(graph$id, "_positions") |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
Function to get current scale of network, with shiny only. Returns the current scale of the network. 1.0 is comparible to full, 0 is zoomed out infinitely.
visGetScale(graph, input = paste0(graph$id, "_scale"))visGetScale(graph, input = paste0(graph$id, "_scale"))
graph |
: a |
input |
: name of shiny input created. Default to paste0(graph$id, "_scale") |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
Function to get selected edges, with shiny only. Returns a vector of selected edge ids.
visGetSelectedEdges(graph, input = paste0(graph$id, "_selectedEdges"))visGetSelectedEdges(graph, input = paste0(graph$id, "_selectedEdges"))
graph |
: a |
input |
: name of shiny input created. Default to paste0(graph$id, "_selectedEdges") |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
Function to get selected nodes, with shiny only. Returns a vector of selected node ids.
visGetSelectedNodes(graph, input = paste0(graph$id, "_selectedNodes"))visGetSelectedNodes(graph, input = paste0(graph$id, "_selectedNodes"))
graph |
: a |
input |
: name of shiny input created. Default to paste0(graph$id, "_selectedNodes") |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
Function to get selected edges & nodes, with shiny only
visGetSelection(graph, input = paste0(graph$id, "_selection"))visGetSelection(graph, input = paste0(graph$id, "_selection"))
graph |
: a |
input |
: name of shiny input created. Default to paste0(graph$id, "_selection") |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
Function to get current view position, with shiny only. Returns the current central focus point of the view.
visGetViewPosition(graph, input = paste0(graph$id, "_viewPosition"))visGetViewPosition(graph, input = paste0(graph$id, "_viewPosition"))
graph |
: a |
input |
: name of shiny input created. Default to paste0(graph$id, "_viewPosition") |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
Network visualization groups options. For full documentation, have a look at visDocumentation.
visGroups(graph, useDefaultGroups = TRUE, groupname = NULL, ...)visGroups(graph, useDefaultGroups = TRUE, groupname = NULL, ...)
graph |
: a visNetwork object |
useDefaultGroups |
: Boolean. Default to true. If your nodes have groups defined that are not in the Groups module, the module loops over the groups it does have, allocating one for each unknown group. When all are used, it goes back to the first group. By setting this to false, the default groups will not be used in this cycle. |
groupname |
: String. Name of target group. |
... |
: visNodes. You can add multiple groups containing styling information that applies to a certain subset of groups. All options described in the nodes module that make sense can be used here (you're not going to set the same id or x,y position for a group of nodes) |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
nodes <- data.frame(id = 1:10, label = paste("Label", 1:10), group = sample(c("A", "B"), 10, replace = TRUE)) edges <- data.frame(from = c(2,5,10), to = c(1,2,10)) visNetwork(nodes, edges) %>% visLegend() %>% visGroups(groupname = "A", color = "red", shape = "database") %>% visGroups(groupname = "B", color = "yellow", shape = "triangle")nodes <- data.frame(id = 1:10, label = paste("Label", 1:10), group = sample(c("A", "B"), 10, replace = TRUE)) edges <- data.frame(from = c(2,5,10), to = c(1,2,10)) visNetwork(nodes, edges) %>% visLegend() %>% visGroups(groupname = "A", color = "red", shape = "database") %>% visGroups(groupname = "B", color = "yellow", shape = "triangle")
Visualize Hierarchical cluster analysis hclust. This function compute distance using dist, and
Hierarchical cluster analysis using hclust (from stats package or flashClust if installed), and
render the tree with visNetwork, adding informations. Can also be called on a hclust or dist object.
Needed packages : sparkline (graphics on tooltip), ggraph, igraph, flashClust
visHclust(object, ...) ## Default S3 method: visHclust(object, ...) ## S3 method for class 'data.frame' visHclust( object, main = "", submain = "", footer = "", distColumns = NULL, distMethod = "euclidean", hclustMethod = "complete", cutree = 0, tooltipColumns = 1:ncol(object), colorEdges = "black", colorGroups = substr(rainbow(cutree), 1, 7), highlightNearest = TRUE, horizontal = FALSE, minNodeSize = 50, maxNodeSize = 200, nodesPopSize = TRUE, height = "600px", width = "100%", export = TRUE, ... ) ## S3 method for class 'dist' visHclust( object, data = NULL, main = "", submain = "", footer = "", cutree = 0, hclustMethod = "complete", tooltipColumns = if (!is.null(data)) { 1:ncol(data) } else { NULL }, colorEdges = "black", colorGroups = substr(rainbow(cutree), 1, 7), highlightNearest = TRUE, horizontal = FALSE, minNodeSize = 50, maxNodeSize = 200, nodesPopSize = TRUE, height = "600px", width = "100%", export = TRUE, ... ) ## S3 method for class 'hclust' visHclust( object, data = NULL, main = "", submain = "", footer = "", cutree = 0, tooltipColumns = if (!is.null(data)) { 1:ncol(data) } else { NULL }, colorEdges = "black", colorGroups = substr(rainbow(cutree), 1, 7), highlightNearest = TRUE, horizontal = FALSE, minNodeSize = 50, maxNodeSize = 200, nodesPopSize = TRUE, height = "600px", width = "100%", export = TRUE, ... )visHclust(object, ...) ## Default S3 method: visHclust(object, ...) ## S3 method for class 'data.frame' visHclust( object, main = "", submain = "", footer = "", distColumns = NULL, distMethod = "euclidean", hclustMethod = "complete", cutree = 0, tooltipColumns = 1:ncol(object), colorEdges = "black", colorGroups = substr(rainbow(cutree), 1, 7), highlightNearest = TRUE, horizontal = FALSE, minNodeSize = 50, maxNodeSize = 200, nodesPopSize = TRUE, height = "600px", width = "100%", export = TRUE, ... ) ## S3 method for class 'dist' visHclust( object, data = NULL, main = "", submain = "", footer = "", cutree = 0, hclustMethod = "complete", tooltipColumns = if (!is.null(data)) { 1:ncol(data) } else { NULL }, colorEdges = "black", colorGroups = substr(rainbow(cutree), 1, 7), highlightNearest = TRUE, horizontal = FALSE, minNodeSize = 50, maxNodeSize = 200, nodesPopSize = TRUE, height = "600px", width = "100%", export = TRUE, ... ) ## S3 method for class 'hclust' visHclust( object, data = NULL, main = "", submain = "", footer = "", cutree = 0, tooltipColumns = if (!is.null(data)) { 1:ncol(data) } else { NULL }, colorEdges = "black", colorGroups = substr(rainbow(cutree), 1, 7), highlightNearest = TRUE, horizontal = FALSE, minNodeSize = 50, maxNodeSize = 200, nodesPopSize = TRUE, height = "600px", width = "100%", export = TRUE, ... )
object |
|
... |
Don't use |
main |
Title. See visNetwork |
submain |
Subtitle. See visNetwork |
footer |
Footer. See visNetwork |
distColumns |
|
distMethod |
|
hclustMethod |
|
cutree |
|
tooltipColumns |
|
colorEdges |
|
colorGroups |
|
highlightNearest |
|
horizontal |
|
minNodeSize |
|
maxNodeSize |
|
nodesPopSize |
|
height |
|
width |
|
export |
|
data |
|
## Not run: #-------------- # data.frame #-------------- # default call on data.frame visHclust(iris, cutree = 3, colorEdges = "red") # update some parameters visHclust(iris, cutree = 3, tooltipColumns = c(1, 5), colorGroups = c("red", "blue", "green"), horizontal = TRUE) # no graphics on tooltip visHclust(iris, cutree = 3, tooltipColumns = NULL, main = "Hclust on iris") # Title(s) visHclust(iris, cutree = 3, main ="My_title", submain = "My_sub_title", footer = "My_footer") # Export visHclust(iris, cutree = 3, export = TRUE) # update group / individual nodes visHclust(iris, cutree = 8) %>% visGroups(groupname = "group", color ="black", shape = "triangleDown", size = 75) %>% visGroups(groupname = "individual", font = list(size = 150), color = list(background = "white", border = "purple", highlight = "#e2e9e9", hover = "orange"), shape = "box") #-------------- # dist #-------------- # without adding data & info in tooltip visHclust(dist(iris[,1:4]), cutree = 3) # adding data & info in tooltip visHclust(dist(iris[,1:4]), cutree = 3, data = iris) #-------------- # hclust #-------------- # without adding data & info in tooltip visHclust(hclust(dist(iris[,1:4])), cutree = 3) # adding data & info in tooltip visHclust(hclust(dist(iris[,1:4])), cutree = 3, data = iris) ## End(Not run)## Not run: #-------------- # data.frame #-------------- # default call on data.frame visHclust(iris, cutree = 3, colorEdges = "red") # update some parameters visHclust(iris, cutree = 3, tooltipColumns = c(1, 5), colorGroups = c("red", "blue", "green"), horizontal = TRUE) # no graphics on tooltip visHclust(iris, cutree = 3, tooltipColumns = NULL, main = "Hclust on iris") # Title(s) visHclust(iris, cutree = 3, main ="My_title", submain = "My_sub_title", footer = "My_footer") # Export visHclust(iris, cutree = 3, export = TRUE) # update group / individual nodes visHclust(iris, cutree = 8) %>% visGroups(groupname = "group", color ="black", shape = "triangleDown", size = 75) %>% visGroups(groupname = "individual", font = list(size = 150), color = list(background = "white", border = "purple", highlight = "#e2e9e9", hover = "orange"), shape = "box") #-------------- # dist #-------------- # without adding data & info in tooltip visHclust(dist(iris[,1:4]), cutree = 3) # adding data & info in tooltip visHclust(dist(iris[,1:4]), cutree = 3, data = iris) #-------------- # hclust #-------------- # without adding data & info in tooltip visHclust(hclust(dist(iris[,1:4])), cutree = 3) # adding data & info in tooltip visHclust(hclust(dist(iris[,1:4])), cutree = 3, data = iris) ## End(Not run)
Network visualization Hierarchical layout options. For full documentation, have a look at visDocumentation.
visHierarchicalLayout( graph, enabled = TRUE, levelSeparation = NULL, nodeSpacing = NULL, treeSpacing = NULL, blockShifting = NULL, edgeMinimization = NULL, parentCentralization = NULL, direction = NULL, sortMethod = NULL, shakeTowards = NULL )visHierarchicalLayout( graph, enabled = TRUE, levelSeparation = NULL, nodeSpacing = NULL, treeSpacing = NULL, blockShifting = NULL, edgeMinimization = NULL, parentCentralization = NULL, direction = NULL, sortMethod = NULL, shakeTowards = NULL )
graph |
: a visNetwork object |
enabled |
: Boolean. Default to TRUE when calling this function. Enable or disable the hierarchical layout. |
levelSeparation |
: Number. Default to 150. The distance between the different levels. |
nodeSpacing |
: Number. Default to 100. Minimum distance between nodes on the free axis. This is only for the initial layout. If you enable physics, the node distance there will be the effective node distance. |
treeSpacing |
: Number. Default to 200. Distance between different trees (independent networks). This is only for the initial layout. If you enable physics, the repulsion model will denote the distance between the trees. |
blockShifting |
: Boolean. Default to true. Method for reducing whitespace. Can be used alone or together with edge minimization. Each node will check for whitespace and will shift it's branch along with it for as far as it can, respecting the nodeSpacing on any level. This is mainly for the initial layout. If you enable physics, they layout will be determined by the physics. This will greatly speed up the stabilization time though! |
edgeMinimization |
: Boolean. Default to true. Method for reducing whitespace. Can be used alone or together with block shifting. Enabling block shifting will usually speed up the layout process. Each node will try to move along its free axis to reduce the total length of it's edges. This is mainly for the initial layout. If you enable physics, they layout will be determined by the physics. This will greatly speed up the stabilization time though! |
parentCentralization |
: Boolean. Default to true. When true, the parents nodes will be centered again after the the layout algorithm has been finished. |
direction |
: String. Default to 'UD'. The direction of the hierarchical layout. The available options are: UD, DU, LR, RL. To simplify: up-down, down-up, left-right, right-left. |
sortMethod |
: String. Default to 'hubsize'. The algorithm used to ascertain the levels of the nodes based on the data. The possible options are: hubsize, directed. |
shakeTowards |
: String. Default to 'roots'. Controls whether in directed layout should all the roots be lined up at the top and their child nodes as close to their roots as possible (roots) or all the leaves lined up at the bottom and their parents as close to their children as possible (leaves, default |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
nodes <- data.frame(id = 1:10) edges <- data.frame(from = round(runif(8)*10), to = round(runif(8)*10)) visNetwork(nodes, edges) %>% visHierarchicalLayout() visNetwork(nodes, edges) %>% visHierarchicalLayout(direction = "LR")nodes <- data.frame(id = 1:10) edges <- data.frame(from = round(runif(8)*10), to = round(runif(8)*10)) visNetwork(nodes, edges) %>% visHierarchicalLayout() visNetwork(nodes, edges) %>% visHierarchicalLayout(direction = "LR")
Use a igraph layout for compute coordinates and fast rendering. This function affect x and y coordinates to nodes data.frame using a igraph layout, and then render network faster with no stabilization. We set some options as : visNodes(physics = FALSE) & visEdges(smooth = FALSE) & visPhysics(stabilization= FALSE), but you can overwrite them using arguments or by add another call after visIgraphLayout
visIgraphLayout( graph, layout = "layout_nicely", physics = FALSE, smooth = FALSE, type = "square", randomSeed = NULL, layoutMatrix = NULL, ... )visIgraphLayout( graph, layout = "layout_nicely", physics = FALSE, smooth = FALSE, type = "square", randomSeed = NULL, layoutMatrix = NULL, ... )
graph |
: a visNetwork object |
layout |
: Character Name of igraph layout function to use. Default to "layout_nicely" |
physics |
: Boolean. Default to FALSE. Enabled physics on nodes ? |
smooth |
: Boolean. Default to FALSE. Use smooth edges ? |
type |
: Character Type of scale from igrah to vis.js. "square" (default) render in a square limit by height. "full" use width and height to scale in a rectangle. |
randomSeed |
: Number. The nodes are randomly positioned initially. This means that the settled result is different every time. If you provide a random seed manually, the layout will be the same every time. |
layoutMatrix |
: in case of layout = 'layout.norm'. the 'layout' argument (A matrix with two or three columns, the layout to normalize) |
... |
: Adding arguments to layout function |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: nnodes <- 200 nnedges <- 400 nodes <- data.frame(id = 1:nnodes) edges <- data.frame(from = sample(1:nnodes, nnedges, replace = T), to = sample(1:nnodes, nnedges, replace = T)) # with default layout visNetwork(nodes, edges) %>% visIgraphLayout() # use full space visNetwork(nodes, edges) %>% visIgraphLayout(type = "full") # in circle ? visNetwork(nodes, edges) %>% visIgraphLayout(layout = "layout_in_circle") %>% visOptions(highlightNearest = list(enabled = T, hover = T), nodesIdSelection = T) # keep physics with smooth curves ? visNetwork(nodes, edges) %>% visIgraphLayout(physics = TRUE, smooth = TRUE) # fix randomSeed to keep position visNetwork(nodes, edges) %>% visIgraphLayout(randomSeed = 123) visNetwork(nodes, edges) %>% visIgraphLayout(randomSeed = 123) # layout_with_sugiyama nodes <- data.frame(id = 1:5) edges <- data.frame(from = c(1, 2, 2, 4), to = c(2, 3, 4, 5)) visNetwork(nodes, edges) %>% visIgraphLayout(layout = "layout_with_sugiyama", layers = c(1, 2, 3, 3, 4)) visNetwork(nodes, edges) %>% visIgraphLayout(layout = "layout_with_sugiyama") ## End(Not run)## Not run: nnodes <- 200 nnedges <- 400 nodes <- data.frame(id = 1:nnodes) edges <- data.frame(from = sample(1:nnodes, nnedges, replace = T), to = sample(1:nnodes, nnedges, replace = T)) # with default layout visNetwork(nodes, edges) %>% visIgraphLayout() # use full space visNetwork(nodes, edges) %>% visIgraphLayout(type = "full") # in circle ? visNetwork(nodes, edges) %>% visIgraphLayout(layout = "layout_in_circle") %>% visOptions(highlightNearest = list(enabled = T, hover = T), nodesIdSelection = T) # keep physics with smooth curves ? visNetwork(nodes, edges) %>% visIgraphLayout(physics = TRUE, smooth = TRUE) # fix randomSeed to keep position visNetwork(nodes, edges) %>% visIgraphLayout(randomSeed = 123) visNetwork(nodes, edges) %>% visIgraphLayout(randomSeed = 123) # layout_with_sugiyama nodes <- data.frame(id = 1:5) edges <- data.frame(from = c(1, 2, 2, 4), to = c(2, 3, 4, 5)) visNetwork(nodes, edges) %>% visIgraphLayout(layout = "layout_with_sugiyama", layers = c(1, 2, 3, 3, 4)) visNetwork(nodes, edges) %>% visIgraphLayout(layout = "layout_with_sugiyama") ## End(Not run)
Network visualization interaction. For full documentation, have a look at visDocumentation.
visInteraction( graph, dragNodes = NULL, dragView = NULL, hideEdgesOnDrag = NULL, hideEdgesOnZoom = NULL, hideNodesOnDrag = NULL, hover = NULL, hoverConnectedEdges = NULL, keyboard = NULL, multiselect = NULL, navigationButtons = NULL, selectable = NULL, selectConnectedEdges = NULL, tooltipDelay = NULL, tooltipStay = 300, tooltipStyle = NULL, zoomView = NULL, zoomSpeed = 1 )visInteraction( graph, dragNodes = NULL, dragView = NULL, hideEdgesOnDrag = NULL, hideEdgesOnZoom = NULL, hideNodesOnDrag = NULL, hover = NULL, hoverConnectedEdges = NULL, keyboard = NULL, multiselect = NULL, navigationButtons = NULL, selectable = NULL, selectConnectedEdges = NULL, tooltipDelay = NULL, tooltipStay = 300, tooltipStyle = NULL, zoomView = NULL, zoomSpeed = 1 )
graph |
: a visNetwork object |
dragNodes |
: Boolean. Default to true. When true, the nodes that are not fixed can be dragged by the user. |
dragView |
: Boolean. Default to true. When true, the view can be dragged around by the user. |
hideEdgesOnDrag |
: Boolean. Default to false. When true, the edges are not drawn when dragging the view. This can greatly speed up responsiveness on dragging, improving user experience. |
hideEdgesOnZoom |
: Boolean. Default to false. When true, the edges are not drawn when zooming the view. This can greatly speed up responsiveness on zooming, improving user experience. |
hideNodesOnDrag |
: Boolean. Default to false. When true, the nodes are not drawn when dragging the view. This can greatly speed up responsiveness on dragging, improving user experience. |
hover |
: Boolean. Default to false. When true, the nodes use their hover colors when the mouse moves over them. |
hoverConnectedEdges |
: Boolean. Default to true. When true, on hovering over a node, it's connecting edges are highlighted. |
keyboard |
: Just a Boolean, or a named list. When true, the keyboard shortcuts are enabled with the default settings. For further customization, you can supply an object.
|
multiselect |
: Boolean. Default to false. When true, a longheld click (or touch) as well as a control-click will add to the selection. |
navigationButtons |
: Boolean. Default to false. When true, navigation buttons are drawn on the network canvas. These are HTML buttons and can be completely customized using CSS. |
selectable |
: Boolean. Default to true When true, the nodes and edges can be selected by the user. |
selectConnectedEdges |
: Boolean. Default to true. When true, on selecting a node, its connecting edges are highlighted. |
tooltipDelay |
: Number. Default to 300. When nodes or edges have a defined 'title' field, this can be shown as a pop-up tooltip. The tooltip itself is an HTML element that can be fully styled using CSS. The delay is the amount of time in milliseconds it takes before the tooltip is shown. |
tooltipStay |
: Number. Default to 300. This is the amount of time in milliseconds it takes before the tooltip is hidden. |
tooltipStyle |
: Character. HTML style of tooltip. You must use 'position: fixed;visibility:hidden;'. |
zoomView |
: Boolean. Default to true. When true, the user can zoom in. |
zoomSpeed |
: Number. Default to 1. How fast/rough or slow/precise zooming is. |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
nodes <- data.frame(id = 1:10, title = '<a target="_blank" href="https://github.com/datastorm-open/visNetwork">github</a>') edges <- data.frame(from = round(runif(8)*10), to = round(runif(8)*10)) # custom tooltip # default value : 'position: fixed;visibility:hidden;padding: 5px;font-family: verdana; # font-size:14px;font-color:#000000;background-color: #f5f4ed;-moz-border-radius: 3px;* # -webkit-border-radius: 3px;border-radius: 3px; border: 1px solid #808074; # box-shadow: 3px 3px 10px rgba(0, 0, 0, 0.2);max-width:400px;word-break: break-all' visNetwork(nodes, edges) %>% visInteraction(tooltipStyle = 'position: fixed;visibility:hidden;padding: 5px;white-space: nowrap; font-family: cursive;font-size:18px;font-color:purple;background-color: red;') nodes <- data.frame(id = 1:3) edges <- data.frame(from = c(1,2), to = c(1,3)) # frozen network visNetwork(nodes, edges) %>% visInteraction(dragNodes = FALSE, dragView = FALSE, zoomView = FALSE) visNetwork(nodes, edges) %>% visInteraction(hideEdgesOnDrag = TRUE) visNetwork(nodes, edges) %>% visInteraction(hover = TRUE) # navigation button visNetwork(nodes, edges) %>% visInteraction(navigationButtons = TRUE) visNetwork(nodes, edges) %>% visInteraction(selectConnectedEdges = FALSE) visNetwork(nodes, edges) %>% visInteraction(multiselect = TRUE) visNetwork(nodes, edges) %>% visInteraction(keyboard = TRUE)nodes <- data.frame(id = 1:10, title = '<a target="_blank" href="https://github.com/datastorm-open/visNetwork">github</a>') edges <- data.frame(from = round(runif(8)*10), to = round(runif(8)*10)) # custom tooltip # default value : 'position: fixed;visibility:hidden;padding: 5px;font-family: verdana; # font-size:14px;font-color:#000000;background-color: #f5f4ed;-moz-border-radius: 3px;* # -webkit-border-radius: 3px;border-radius: 3px; border: 1px solid #808074; # box-shadow: 3px 3px 10px rgba(0, 0, 0, 0.2);max-width:400px;word-break: break-all' visNetwork(nodes, edges) %>% visInteraction(tooltipStyle = 'position: fixed;visibility:hidden;padding: 5px;white-space: nowrap; font-family: cursive;font-size:18px;font-color:purple;background-color: red;') nodes <- data.frame(id = 1:3) edges <- data.frame(from = c(1,2), to = c(1,3)) # frozen network visNetwork(nodes, edges) %>% visInteraction(dragNodes = FALSE, dragView = FALSE, zoomView = FALSE) visNetwork(nodes, edges) %>% visInteraction(hideEdgesOnDrag = TRUE) visNetwork(nodes, edges) %>% visInteraction(hover = TRUE) # navigation button visNetwork(nodes, edges) %>% visInteraction(navigationButtons = TRUE) visNetwork(nodes, edges) %>% visInteraction(selectConnectedEdges = FALSE) visNetwork(nodes, edges) %>% visInteraction(multiselect = TRUE) visNetwork(nodes, edges) %>% visInteraction(keyboard = TRUE)
Network visualization layout options. For full documentation, have a look at visDocumentation.
visLayout( graph, randomSeed = NULL, improvedLayout = NULL, clusterThreshold = NULL, hierarchical = NULL )visLayout( graph, randomSeed = NULL, improvedLayout = NULL, clusterThreshold = NULL, hierarchical = NULL )
graph |
: a visNetwork object |
randomSeed |
: Number. When NOT using the hierarchical layout, the nodes are randomly positioned initially. This means that the settled result is different every time. If you provide a random seed manually, the layout will be the same every time. Ideally you try with an undefined seed, reload until you are happy with the layout and use the getSeed() method to ascertain the seed. |
improvedLayout |
: Boolean. Default to true. When enabled, the network will use the Kamada Kawai algorithm for initial layout. For networks larger than 100 nodes, clustering will be performed automatically to reduce the amount of nodes. This can greatly improve the stabilization times. If the network is very interconnected (no or few leaf nodes), this may not work and it will revert back to the old method. Performance will be improved in the future. |
clusterThreshold |
: Number. Default to 150. Cluster threshold to which improvedLayout applies. |
hierarchical |
: Boolean. Default to false. When true, the layout engine positions the nodes in a hierarchical fashion using default settings. For customization you can use visHierarchicalLayout |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
nodes <- data.frame(id = 1:10) edges <- data.frame(from = round(runif(8)*10), to = round(runif(8)*10)) # fix seed, so you retrieve same network each time...! visNetwork(nodes, edges) %>% visLayout(randomSeed = 123) visNetwork(nodes, edges) %>% visLayout(randomSeed = 123) # hierarchical visNetwork(nodes, edges) %>% visLayout(hierarchical = TRUE) visNetwork(nodes, edges) %>% visHierarchicalLayout(direction = "LR")nodes <- data.frame(id = 1:10) edges <- data.frame(from = round(runif(8)*10), to = round(runif(8)*10)) # fix seed, so you retrieve same network each time...! visNetwork(nodes, edges) %>% visLayout(randomSeed = 123) visNetwork(nodes, edges) %>% visLayout(randomSeed = 123) # hierarchical visNetwork(nodes, edges) %>% visLayout(hierarchical = TRUE) visNetwork(nodes, edges) %>% visHierarchicalLayout(direction = "LR")
Add a legend on a visNetwork object
visLegend( graph, enabled = TRUE, useGroups = TRUE, addNodes = NULL, addEdges = NULL, width = 0.2, position = "left", main = NULL, ncol = 1, stepX = 100, stepY = 100, zoom = TRUE )visLegend( graph, enabled = TRUE, useGroups = TRUE, addNodes = NULL, addEdges = NULL, width = 0.2, position = "left", main = NULL, ncol = 1, stepX = 100, stepY = 100, zoom = TRUE )
graph |
: a visNetwork object |
enabled |
: Boolean. Default to TRUE. |
useGroups |
: use groups options in legend ? Default to TRUE. |
addNodes |
: a data.frame or a list for adding custom node(s) |
addEdges |
: a data.frame or a list for adding custom edges(s) |
width |
: Number, in [0,...,1]. Default to 0.2 |
position |
: one of "left" (Default) or "right" |
main |
: For add a title. Character or a named list.
|
ncol |
: Divide legend in multiple columns ? Default to 1 |
stepX |
: Experimental. Can use to control space between nodes. Default to 100 |
stepY |
: Experimental. Can use to control space between nodes. Default to 100 |
zoom |
: Boolean. Enable zoom on legend ? Default to TRUE |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
# minimal example nodes <- data.frame(id = 1:3, group = c("B", "A", "B")) edges <- data.frame(from = c(1,2), to = c(2,3)) # default, on group visNetwork(nodes, edges) %>% visGroups(groupname = "A", color = "red") %>% visGroups(groupname = "B", color = "lightblue") %>% visLegend() ## Not run: # on group, adding options visNetwork(nodes, edges) %>% visGroups(groupname = "A", color = "red") %>% visGroups(groupname = "B", color = "lightblue") %>% visLegend(width = 0.1, position = "right", main = "Legend") # css on main visNetwork(nodes, edges) %>% visGroups(groupname = "A", color = "red") %>% visGroups(groupname = "B", color = "lightblue") %>% visLegend(main = list(text = "Custom Legend", style = "font-family:Comic Sans MS;color:#ff0000;font-size:12px;text-align:center;")) # passing custom nodes and/or edges lnodes <- data.frame(label = c("Group A", "Group B"), shape = c( "ellipse"), color = c("red", "lightblue"), title = "Informations") ledges <- data.frame(color = c("lightblue", "red"), label = c("reverse", "depends"), arrows =c("to", "from"), font.align = "top") visNetwork(nodes, edges) %>% visGroups(groupname = "A", color = "red") %>% visGroups(groupname = "B", color = "lightblue") %>% visLegend(addNodes = lnodes, addEdges = ledges, useGroups = FALSE) # divide in columns visNetwork(nodes, edges) %>% visGroups(groupname = "A", color = "red") %>% visGroups(groupname = "B", color = "lightblue") %>% visLegend(addNodes = lnodes, useGroups = TRUE, ncol = 2) # for more complex option, you can use a list(of list...) # or a data.frame with specific notaion nodes <- data.frame(id = 1:3, group = c("B", "A", "B")) edges <- data.frame(from = c(1,2), to = c(2,3)) # using a list visNetwork(nodes, edges) %>% visGroups(groupname = "A", shape = "icon", icon = list(code = "f0c0", size = 75)) %>% visGroups(groupname = "B", shape = "icon", icon = list(code = "f007", color = "red")) %>% addFontAwesome() %>% visLegend(addNodes = list( list(label = "Group", shape = "icon", icon = list(code = "f0c0", size = 25)), list(label = "User", shape = "icon", icon = list(code = "f007", size = 50, color = "red")) ), addEdges = data.frame(label = "link"), useGroups = FALSE) # using a data.frame addNodes <- data.frame(label = c("Group", "User"), shape = "icon", icon.code = c("f0c0", "f007"), icon.size = c(25, 50), icon.color = c(NA, "red")) visNetwork(nodes, edges) %>% visGroups(groupname = "A", shape = "icon", icon = list(code = "f0c0", size = 75)) %>% visGroups(groupname = "B", shape = "icon", icon = list(code = "f007", color = "red")) %>% addFontAwesome() %>% visLegend(addNodes = addNodes, addEdges = data.frame(label = "link"), useGroups = FALSE) ## End(Not run)# minimal example nodes <- data.frame(id = 1:3, group = c("B", "A", "B")) edges <- data.frame(from = c(1,2), to = c(2,3)) # default, on group visNetwork(nodes, edges) %>% visGroups(groupname = "A", color = "red") %>% visGroups(groupname = "B", color = "lightblue") %>% visLegend() ## Not run: # on group, adding options visNetwork(nodes, edges) %>% visGroups(groupname = "A", color = "red") %>% visGroups(groupname = "B", color = "lightblue") %>% visLegend(width = 0.1, position = "right", main = "Legend") # css on main visNetwork(nodes, edges) %>% visGroups(groupname = "A", color = "red") %>% visGroups(groupname = "B", color = "lightblue") %>% visLegend(main = list(text = "Custom Legend", style = "font-family:Comic Sans MS;color:#ff0000;font-size:12px;text-align:center;")) # passing custom nodes and/or edges lnodes <- data.frame(label = c("Group A", "Group B"), shape = c( "ellipse"), color = c("red", "lightblue"), title = "Informations") ledges <- data.frame(color = c("lightblue", "red"), label = c("reverse", "depends"), arrows =c("to", "from"), font.align = "top") visNetwork(nodes, edges) %>% visGroups(groupname = "A", color = "red") %>% visGroups(groupname = "B", color = "lightblue") %>% visLegend(addNodes = lnodes, addEdges = ledges, useGroups = FALSE) # divide in columns visNetwork(nodes, edges) %>% visGroups(groupname = "A", color = "red") %>% visGroups(groupname = "B", color = "lightblue") %>% visLegend(addNodes = lnodes, useGroups = TRUE, ncol = 2) # for more complex option, you can use a list(of list...) # or a data.frame with specific notaion nodes <- data.frame(id = 1:3, group = c("B", "A", "B")) edges <- data.frame(from = c(1,2), to = c(2,3)) # using a list visNetwork(nodes, edges) %>% visGroups(groupname = "A", shape = "icon", icon = list(code = "f0c0", size = 75)) %>% visGroups(groupname = "B", shape = "icon", icon = list(code = "f007", color = "red")) %>% addFontAwesome() %>% visLegend(addNodes = list( list(label = "Group", shape = "icon", icon = list(code = "f0c0", size = 25)), list(label = "User", shape = "icon", icon = list(code = "f007", size = 50, color = "red")) ), addEdges = data.frame(label = "link"), useGroups = FALSE) # using a data.frame addNodes <- data.frame(label = c("Group", "User"), shape = "icon", icon.code = c("f0c0", "f007"), icon.size = c(25, 50), icon.color = c(NA, "red")) visNetwork(nodes, edges) %>% visGroups(groupname = "A", shape = "icon", icon = list(code = "f0c0", size = 75)) %>% visGroups(groupname = "B", shape = "icon", icon = list(code = "f007", color = "red")) %>% addFontAwesome() %>% visLegend(addNodes = addNodes, addEdges = data.frame(label = "link"), useGroups = FALSE) ## End(Not run)
For use moveNode() method in a shiny app. For full documentation, have a look at visDocumentation.
visMoveNode(graph, id, x, y)visMoveNode(graph, id, x, y)
graph |
: a |
id |
: a node id |
x |
: Number. x position, in canvas space |
y |
: Number. y position, in canvas space |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
Function to nearest nodes of a target node, with shiny only.
visNearestNodes(graph, target, maxpoints = 5, addDist = T)visNearestNodes(graph, target, maxpoints = 5, addDist = T)
graph |
: a |
target |
: name of shiny input returning target node id |
maxpoints |
: Number of nearest nodes. Default to 5 |
addDist |
: If TRUE, add a column named dist_ that contains the distance from the coordinate to the point, in pixels. |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
Network visualization using vis.js library. For full documentation, have a look at visDocumentation.
visNetwork( nodes = NULL, edges = NULL, dot = NULL, gephi = NULL, width = NULL, height = NULL, main = NULL, submain = NULL, footer = NULL, background = "rgba(0, 0, 0, 0)", ... )visNetwork( nodes = NULL, edges = NULL, dot = NULL, gephi = NULL, width = NULL, height = NULL, main = NULL, submain = NULL, footer = NULL, background = "rgba(0, 0, 0, 0)", ... )
nodes |
: data.frame or a list with nodes informations. Needed at least column "id". See visNodes
|
edges |
: data.frame or a list with edges informations. Needed at least columns "from" and "to". See visEdges
|
dot |
: Character DOT language. |
gephi |
: Json export gephi path file. |
width |
: Width (optional, defaults to automatic sizing) |
height |
: Height (optional, defaults to automatic sizing) |
main |
: For add a title. Character or a named list.
|
submain |
: For add a subtitle. Character or a named list.
|
footer |
: For add a footer. Character or a named list.
|
background |
: Background color. Default to 'rgba(0, 0, 0, 0)' (transparent). Can be a valid color name ("red"), a HEX value ("#ff0000") or rgb/rgba ("rgb(255,0,0)") |
... |
: Don't use. |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy for play with network using shiny, visTree to visualize CART rpart tree, visNetworkEditor to edit your network, visDocumentation, visEvents, visConfigure ...
# minimal example nodes <- data.frame(id = 1:3) edges <- data.frame(from = c(1,2), to = c(1,3)) visNetwork(nodes, edges) ## Not run: # add a title visNetwork(nodes, edges, main = "visNetwork minimal example") visNetwork(nodes, edges, main = list(text = "visNetwork minimal example", style = "font-family:Comic Sans MS;color:#ff0000;font-size:15px;text-align:center;")) # and subtitle and footer visNetwork(nodes, edges, main = "visNetwork minimal example", submain = "For add a subtitle", footer = "Fig.1 minimal example") # change background color visNetwork(nodes, edges, background = "black") # customization adding more variables (see visNodes and visEdges) nodes <- data.frame(id = 1:10, label = paste("Node", 1:10), # labels group = c("GrA", "GrB"), # groups value = 1:10, # size shape = c("square", "triangle", "box", "circle", "dot", "star", "ellipse", "database", "text", "diamond"), # shape title = paste0("<p><b>", 1:10,"</b><br>Node !</p>"), # tooltip color = c("darkred", "grey", "orange", "darkblue", "purple"),# color shadow = c(FALSE, TRUE, FALSE, TRUE, TRUE)) # shadow edges <- data.frame(from = sample(1:10,8), to = sample(1:10, 8), label = paste("Edge", 1:8), # labels length = c(100,500), # length arrows = c("to", "from", "middle", "middle;to"), # arrows dashes = c(TRUE, FALSE), # dashes title = paste("Edge", 1:8), # tooltip smooth = c(FALSE, TRUE), # smooth shadow = c(FALSE, TRUE, FALSE, TRUE)) # shadow visNetwork(nodes, edges) # use more complex configuration : # when it's a list, you can use data.frame with specific notation like this nodes <- data.frame(id = 1:3, color.background = c("red", "blue", "green"), color.highlight.background = c("red", NA, "red"), shadow.size = c(5, 10, 15)) edges <- data.frame(from = c(1,2), to = c(1,3), label = LETTERS[1:2], font.color =c ("red", "blue"), font.size = c(10,20)) visNetwork(nodes, edges) # highlight nearest nodes <- data.frame(id = 1:15, label = paste("Label", 1:15), group = sample(LETTERS[1:3], 15, replace = TRUE)) edges <- data.frame(from = trunc(runif(15)*(15-1))+1, to = trunc(runif(15)*(15-1))+1) visNetwork(nodes, edges) %>% visOptions(highlightNearest = TRUE) # try an id node selection visNetwork(nodes, edges) %>% visOptions(highlightNearest = TRUE, nodesIdSelection = TRUE) # or add a selection on another column visNetwork(nodes, edges) %>% visOptions(selectedBy = "group") nodes$sel <- sample(c("sel1", "sel2"), nrow(nodes), replace = TRUE) visNetwork(nodes, edges) %>% visOptions(selectedBy = "sel") # add legend visNetwork(nodes, edges) %>% visLegend() # directed network visNetwork(nodes, edges) %>% visEdges(arrows = 'from', scaling = list(min = 2, max = 2)) # custom navigation visNetwork(nodes, edges) %>% visInteraction(navigationButtons = TRUE) # data Manipulation visNetwork(nodes, edges) %>% visOptions(manipulation = TRUE) # Hierarchical Layout visNetwork(nodes, edges) %>% visHierarchicalLayout() # freeze network visNetwork(nodes, edges) %>% visInteraction(dragNodes = FALSE, dragView = FALSE, zoomView = FALSE) # use fontAwesome icons using groups or nodes options # font-awesome is not part of dependencies. use addFontAwesome() if needed nodes <- data.frame(id = 1:3, group = c("B", "A", "B")) edges <- data.frame(from = c(1,2), to = c(2,3)) visNetwork(nodes, edges) %>% visGroups(groupname = "A", shape = "icon", icon = list(code = "f0c0", size = 75)) %>% visGroups(groupname = "B", shape = "icon", icon = list(code = "f007", color = "red")) %>% addFontAwesome() nodes <- data.frame(id = 1:3) edges <- data.frame(from = c(1,2), to = c(1,3)) visNetwork(nodes, edges) %>% visNodes(shape = "icon", icon = list( face ='FontAwesome', code = "f0c0")) %>% addFontAwesome() # Save a network network <- visNetwork(nodes, edges) %>% visOptions(highlightNearest = TRUE, nodesIdSelection = TRUE, manipulation = TRUE) %>% visLegend() network %>% visSave(file = "network.html") # same as visSave(network, file = "network.html") # Export as png/jpeg (shiny or browser only) visNetwork(nodes, edges) %>% visExport() # DOT language visNetwork(dot = 'dinetwork {1 -> 1 -> 2; 2 -> 3; 2 -- 4; 2 -> 1 }') # gephi json file visNetwork(gephi = 'WorldCup2014.json') %>% visPhysics(stabilization = FALSE, barnesHut = list( gravitationalConstant = -10000, springConstant = 0.002, springLength = 150 )) ## End(Not run)# minimal example nodes <- data.frame(id = 1:3) edges <- data.frame(from = c(1,2), to = c(1,3)) visNetwork(nodes, edges) ## Not run: # add a title visNetwork(nodes, edges, main = "visNetwork minimal example") visNetwork(nodes, edges, main = list(text = "visNetwork minimal example", style = "font-family:Comic Sans MS;color:#ff0000;font-size:15px;text-align:center;")) # and subtitle and footer visNetwork(nodes, edges, main = "visNetwork minimal example", submain = "For add a subtitle", footer = "Fig.1 minimal example") # change background color visNetwork(nodes, edges, background = "black") # customization adding more variables (see visNodes and visEdges) nodes <- data.frame(id = 1:10, label = paste("Node", 1:10), # labels group = c("GrA", "GrB"), # groups value = 1:10, # size shape = c("square", "triangle", "box", "circle", "dot", "star", "ellipse", "database", "text", "diamond"), # shape title = paste0("<p><b>", 1:10,"</b><br>Node !</p>"), # tooltip color = c("darkred", "grey", "orange", "darkblue", "purple"),# color shadow = c(FALSE, TRUE, FALSE, TRUE, TRUE)) # shadow edges <- data.frame(from = sample(1:10,8), to = sample(1:10, 8), label = paste("Edge", 1:8), # labels length = c(100,500), # length arrows = c("to", "from", "middle", "middle;to"), # arrows dashes = c(TRUE, FALSE), # dashes title = paste("Edge", 1:8), # tooltip smooth = c(FALSE, TRUE), # smooth shadow = c(FALSE, TRUE, FALSE, TRUE)) # shadow visNetwork(nodes, edges) # use more complex configuration : # when it's a list, you can use data.frame with specific notation like this nodes <- data.frame(id = 1:3, color.background = c("red", "blue", "green"), color.highlight.background = c("red", NA, "red"), shadow.size = c(5, 10, 15)) edges <- data.frame(from = c(1,2), to = c(1,3), label = LETTERS[1:2], font.color =c ("red", "blue"), font.size = c(10,20)) visNetwork(nodes, edges) # highlight nearest nodes <- data.frame(id = 1:15, label = paste("Label", 1:15), group = sample(LETTERS[1:3], 15, replace = TRUE)) edges <- data.frame(from = trunc(runif(15)*(15-1))+1, to = trunc(runif(15)*(15-1))+1) visNetwork(nodes, edges) %>% visOptions(highlightNearest = TRUE) # try an id node selection visNetwork(nodes, edges) %>% visOptions(highlightNearest = TRUE, nodesIdSelection = TRUE) # or add a selection on another column visNetwork(nodes, edges) %>% visOptions(selectedBy = "group") nodes$sel <- sample(c("sel1", "sel2"), nrow(nodes), replace = TRUE) visNetwork(nodes, edges) %>% visOptions(selectedBy = "sel") # add legend visNetwork(nodes, edges) %>% visLegend() # directed network visNetwork(nodes, edges) %>% visEdges(arrows = 'from', scaling = list(min = 2, max = 2)) # custom navigation visNetwork(nodes, edges) %>% visInteraction(navigationButtons = TRUE) # data Manipulation visNetwork(nodes, edges) %>% visOptions(manipulation = TRUE) # Hierarchical Layout visNetwork(nodes, edges) %>% visHierarchicalLayout() # freeze network visNetwork(nodes, edges) %>% visInteraction(dragNodes = FALSE, dragView = FALSE, zoomView = FALSE) # use fontAwesome icons using groups or nodes options # font-awesome is not part of dependencies. use addFontAwesome() if needed nodes <- data.frame(id = 1:3, group = c("B", "A", "B")) edges <- data.frame(from = c(1,2), to = c(2,3)) visNetwork(nodes, edges) %>% visGroups(groupname = "A", shape = "icon", icon = list(code = "f0c0", size = 75)) %>% visGroups(groupname = "B", shape = "icon", icon = list(code = "f007", color = "red")) %>% addFontAwesome() nodes <- data.frame(id = 1:3) edges <- data.frame(from = c(1,2), to = c(1,3)) visNetwork(nodes, edges) %>% visNodes(shape = "icon", icon = list( face ='FontAwesome', code = "f0c0")) %>% addFontAwesome() # Save a network network <- visNetwork(nodes, edges) %>% visOptions(highlightNearest = TRUE, nodesIdSelection = TRUE, manipulation = TRUE) %>% visLegend() network %>% visSave(file = "network.html") # same as visSave(network, file = "network.html") # Export as png/jpeg (shiny or browser only) visNetwork(nodes, edges) %>% visExport() # DOT language visNetwork(dot = 'dinetwork {1 -> 1 -> 2; 2 -> 3; 2 -- 4; 2 -> 1 }') # gephi json file visNetwork(gephi = 'WorldCup2014.json') %>% visPhysics(stabilization = FALSE, barnesHut = list( gravitationalConstant = -10000, springConstant = 0.002, springLength = 150 )) ## End(Not run)
Network visualization collapse / uncollapsed method
visCollapse( graph, nodes, fit = FALSE, resetHighlight = TRUE, clusterOptions = NULL, labelSuffix = "(cluster)" ) visUncollapse( graph, nodes = NULL, fit = FALSE, resetHighlight = TRUE, keepCoord = TRUE )visCollapse( graph, nodes, fit = FALSE, resetHighlight = TRUE, clusterOptions = NULL, labelSuffix = "(cluster)" ) visUncollapse( graph, nodes = NULL, fit = FALSE, resetHighlight = TRUE, keepCoord = TRUE )
graph |
: a |
nodes |
: a vector of nodes id. NULL for |
fit |
: Optional. Boolean. Default to FALSE. Call fit method after collapse/uncollapse event ? |
resetHighlight |
: Optional. Boolean. Default to TRUE to reset highlighted nodes after collapse/uncollapse event. |
clusterOptions |
: Optional. List. Default to NULL. A list of all options you want to pass to cluster collapsed node |
labelSuffix |
: Optional. Character. Use node label + suffix or just suffix. Default to '(cluster)' |
keepCoord |
: Optional. Boolean. Default to TRUE to keep nodes coordinates on collapse |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) # You can also disable / enabled the double-click event opening cluster visNetworkProxy("network_id") %>% visEvents(type = "off", doubleClick = "networkOpenCluster") visNetworkProxy("network_id") %>% visEvents(type = "on", doubleClick = "networkOpenCluster") ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) # You can also disable / enabled the double-click event opening cluster visNetworkProxy("network_id") %>% visEvents(type = "off", doubleClick = "networkOpenCluster") visNetworkProxy("network_id") %>% visEvents(type = "on", doubleClick = "networkOpenCluster") ## End(Not run)
Render a visNetwork object from an igraph object. toVisNetworkData transfrom igraph data to visNetwork data. We actually try to keep color, size and label from igraph to visNetwork. visIgraph plot directly an igraph object in visNetwork, using toVisNetworkData to extract data, and visIgraphLayout to compute layout and coordinates before rendering.
visIgraph( igraph, idToLabel = TRUE, layout = "layout_nicely", physics = FALSE, smooth = FALSE, type = "square", randomSeed = NULL, layoutMatrix = NULL, ... ) toVisNetworkData(igraph, idToLabel = TRUE)visIgraph( igraph, idToLabel = TRUE, layout = "layout_nicely", physics = FALSE, smooth = FALSE, type = "square", randomSeed = NULL, layoutMatrix = NULL, ... ) toVisNetworkData(igraph, idToLabel = TRUE)
igraph |
: a igraph object |
idToLabel |
: Boolean. Default to TRUE. Use id of nodes as label ? |
layout |
: Character Name of igraph layout function to use. Default to "layout_nicely" |
physics |
: Boolean. Default to FALSE. Enabled physics on nodes ? |
smooth |
: Boolean. Default to FALSE. Use smooth edges ? |
type |
: Character Type of scale from igrah to vis.js. "square" (default) render in a square limit by height. "full" use width and height to scale in a rectangle. |
randomSeed |
: Number. The nodes are randomly positioned initially. This means that the settled result is different every time. If you provide a random seed manually, the layout will be the same every time. |
layoutMatrix |
: in case of layout = 'layout.norm'. the 'layout' argument (A matrix with two or three columns, the layout to normalize) |
... |
: Adding arguments to layout function |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: require(igraph) igraph_network <- graph.famous("Walther") # get data and plot : data <- toVisNetworkData(igraph_network) visNetwork(nodes = data$nodes, edges = data$edges) # or plot directly visIgraph(igraph_network) # change layout visIgraph(igraph_network, layout = "layout_in_circle") # options visIgraph(igraph_network, layout = "layout_in_circle", physics = FALSE, smooth = TRUE) # passing some info g <- graph.star(8) V(g)$color <- c("green", "grey") V(g)$size <- 1:8 *5 V(g)$label <- LETTERS[1:8] V(g)$label.cex = seq(1, 2,length.out = 8) V(g)$label.color = "red" visIgraph(g, layout = "layout.circle", idToLabel = FALSE) g <- graph.full(5) E(g)$weight <- runif(ecount(g)) E(g)$width <- 1 E(g)$color <- "red" E(g)[ weight < 0.5 ]$width <- 4 E(g)[ weight < 0.5 ]$color <- "green" E(g)$label <- LETTERS[1:10] E(g)$label.cex = seq(1, 2,length.out = 10) E(g)$label.color = "red" visIgraph(g) # color vertices of the largest component largest_comp <- function(graph) { cl <- components(graph) V(graph)[which.max(cl$csize) == cl$membership] } g <- sample_(gnp(100, 2/100), with_vertex_(size = 3, label = ""), with_graph_(layout = layout_with_fr) ) giant_v <- largest_comp(g) V(g)$color <- "blue" V(g)[giant_v]$color <- "orange" plot(g) visIgraph(g) ## End(Not run)## Not run: require(igraph) igraph_network <- graph.famous("Walther") # get data and plot : data <- toVisNetworkData(igraph_network) visNetwork(nodes = data$nodes, edges = data$edges) # or plot directly visIgraph(igraph_network) # change layout visIgraph(igraph_network, layout = "layout_in_circle") # options visIgraph(igraph_network, layout = "layout_in_circle", physics = FALSE, smooth = TRUE) # passing some info g <- graph.star(8) V(g)$color <- c("green", "grey") V(g)$size <- 1:8 *5 V(g)$label <- LETTERS[1:8] V(g)$label.cex = seq(1, 2,length.out = 8) V(g)$label.color = "red" visIgraph(g, layout = "layout.circle", idToLabel = FALSE) g <- graph.full(5) E(g)$weight <- runif(ecount(g)) E(g)$width <- 1 E(g)$color <- "red" E(g)[ weight < 0.5 ]$width <- 4 E(g)[ weight < 0.5 ]$color <- "green" E(g)$label <- LETTERS[1:10] E(g)$label.cex = seq(1, 2,length.out = 10) E(g)$label.color = "red" visIgraph(g) # color vertices of the largest component largest_comp <- function(graph) { cl <- components(graph) V(graph)[which.max(cl$csize) == cl$membership] } g <- sample_(gnp(100, 2/100), with_vertex_(size = 3, label = ""), with_graph_(layout = layout_with_fr) ) giant_v <- largest_comp(g) V(g)$color <- "blue" V(g)[giant_v]$color <- "orange" plot(g) visIgraph(g) ## End(Not run)
Output and render functions for using visNetwork within Shiny
applications and interactive Rmd documents. With visNetworkProxy,
you can update your network without redraw in shiny.
visNetworkOutput(outputId, width = "100%", height = "400px") renderVisNetwork(expr, env = parent.frame(), quoted = FALSE) visNetworkProxy(shinyId, session = shiny::getDefaultReactiveDomain())visNetworkOutput(outputId, width = "100%", height = "400px") renderVisNetwork(expr, env = parent.frame(), quoted = FALSE) visNetworkProxy(shinyId, session = shiny::getDefaultReactiveDomain())
outputId |
: output variable to read from |
width, height
|
Must be a valid CSS unit (like |
expr |
An expression that generates a visNetwork |
env |
The environment in which to evaluate |
quoted |
Is |
shinyId |
single-element character vector indicating the shiny output ID of the network to modify |
session |
the Shiny session object to which the map belongs; usually the default value will suffice |
With visNetworkProxy, you can update your network and use various methods :
"all 'visNetwork' functions" : visOptions, visNodes, visEdges, visPhysics, visEvents, ...
visFocus : Focus to one or more nodes
visFit : Set view on a set of nodes
visUpdateNodes : Update and add nodes
visUpdateEdges : Update and add edges
visRemoveNodes : Remove nodes
visRemoveEdges : Remove edges
visSelectNodes :Select nodes
visSelectEdges : Select edges
visGetNodes : Get nodes dataset
visGetEdges : Get edges dataset
visSetSelection : Select edges/nodes
visNearestNodes : Get nearest nodes
visCollapse : Collapse nodes
visUncollapse : Uncollpase nodes
visSetTitle : Set and update main, submain, footer
and also... : visGetSelectedEdges, visGetSelectedNodes, visGetSelection,
visGetConnectedEdges, visGetConnectedNodes, visRedraw, visStabilize,
visSetData, visGetPositions, visMoveNode, visUnselectAll,
visGetScale, visGetBoundingBox, visGetViewPosition,visSetOptions
See online documentation https://datastorm-open.github.io/visNetwork/
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
rpart treeNeeded packages : shiny, rpart, colourpicker, shinyWidgets, sparkline
visTreeModuleServer( input, output, session, data, tooltip_data = NULL, tooltipColumns = "", main = "", submain = "", footer = "", direction = "UD", fallenLeaves = FALSE, rules = TRUE, simplifyRules = TRUE, shapeVar = "dot", shapeY = "square", colorVar = NULL, colorY = NULL, colorEdges = "#8181F7", nodesFontSize = 16, edgesFontSize = 14, edgesFontAlign = "horizontal", legend = TRUE, legendNodesSize = 22, legendFontSize = 16, legendWidth = 0.1, legendNcol = 1, legendPosition = "left", nodesPopSize = FALSE, minNodeSize = 15, maxNodeSize = 30, highlightNearest = list(enabled = TRUE, degree = list(from = 50000, to = 0), hover = FALSE, algorithm = "hierarchical"), collapse = list(enabled = TRUE, fit = TRUE, resetHighlight = TRUE, clusterOptions = list(fixed = TRUE, physics = FALSE)), updateShape = TRUE, tooltipDelay = 500, digits = 3, height = 650, width = "100%", export = TRUE ) visTreeModuleUI( id, rpartParams = TRUE, visTreeParams = TRUE, quitButton = FALSE )visTreeModuleServer( input, output, session, data, tooltip_data = NULL, tooltipColumns = "", main = "", submain = "", footer = "", direction = "UD", fallenLeaves = FALSE, rules = TRUE, simplifyRules = TRUE, shapeVar = "dot", shapeY = "square", colorVar = NULL, colorY = NULL, colorEdges = "#8181F7", nodesFontSize = 16, edgesFontSize = 14, edgesFontAlign = "horizontal", legend = TRUE, legendNodesSize = 22, legendFontSize = 16, legendWidth = 0.1, legendNcol = 1, legendPosition = "left", nodesPopSize = FALSE, minNodeSize = 15, maxNodeSize = 30, highlightNearest = list(enabled = TRUE, degree = list(from = 50000, to = 0), hover = FALSE, algorithm = "hierarchical"), collapse = list(enabled = TRUE, fit = TRUE, resetHighlight = TRUE, clusterOptions = list(fixed = TRUE, physics = FALSE)), updateShape = TRUE, tooltipDelay = 500, digits = 3, height = 650, width = "100%", export = TRUE ) visTreeModuleUI( id, rpartParams = TRUE, visTreeParams = TRUE, quitButton = FALSE )
input |
|
output |
|
session |
|
data |
|
tooltip_data |
|
tooltipColumns |
|
main |
Title. See visNetwork |
submain |
Subtitle. See visNetwork |
footer |
Footer. See visNetwork |
direction |
|
fallenLeaves |
|
rules |
|
simplifyRules |
|
shapeVar |
|
shapeY |
|
colorVar |
|
colorY |
if classification tree :
if regression tree : |
colorEdges |
|
nodesFontSize |
|
edgesFontSize |
|
edgesFontAlign |
|
legend |
|
legendNodesSize |
|
legendFontSize |
|
legendWidth |
|
legendNcol |
|
legendPosition |
|
nodesPopSize |
|
minNodeSize |
|
maxNodeSize |
|
highlightNearest |
|
collapse |
|
updateShape |
|
tooltipDelay |
|
digits |
|
height |
|
width |
|
export |
|
id |
|
rpartParams |
|
visTreeParams |
|
quitButton |
|
See online documentation https://datastorm-open.github.io/visNetwork/
## Not run: require(rpart) # simple module editor on rpart data <- iris shiny::shinyApp(ui = shiny::fluidPage( visTreeModuleUI(id = "id1", rpartParams = FALSE, visTreeParams = FALSE)), server = function(input, output, session) { shiny::callModule(visTreeModuleServer, "id1", data = shiny::reactive(rpart(data))) }) # full module editor on rpart + data.frame for sparkline data <- iris shiny::shinyApp(ui = shiny::fluidPage( visTreeModuleUI(id = "id1", rpartParams = FALSE, visTreeParams = TRUE)), server = function(input, output, session) { shiny::callModule(visTreeModuleServer, "id1", data = shiny::reactive(rpart(data)), tooltip_data = data) }) # module on data.frame shiny::shinyApp(ui = shiny::fluidPage(visTreeModuleUI(id = "id1", rpartParams = TRUE)), server = function(input, output, session) { shiny::callModule(visTreeModuleServer, "id1", data = shiny::reactive(data)) }) # multiple modules shiny::shinyApp(ui = navbarPage("Menu",shiny::tabPanel( "tt1",shiny::fluidPage(visTreeModuleUI(id = "id1", rpartParams = TRUE, visTreeParams = TRUE)) ), shiny::tabPanel( "tt2",shiny::fluidPage(visTreeModuleUI(id = "id2", rpartParams = FALSE, visTreeParams = FALSE))) ), server = function(input, output, session) { shiny::callModule(visTreeModuleServer, "id1", data = shiny::reactive(iris)) shiny::callModule(visTreeModuleServer, "id2", data = shiny::reactive(rpart(iris))) }) ## End(Not run)## Not run: require(rpart) # simple module editor on rpart data <- iris shiny::shinyApp(ui = shiny::fluidPage( visTreeModuleUI(id = "id1", rpartParams = FALSE, visTreeParams = FALSE)), server = function(input, output, session) { shiny::callModule(visTreeModuleServer, "id1", data = shiny::reactive(rpart(data))) }) # full module editor on rpart + data.frame for sparkline data <- iris shiny::shinyApp(ui = shiny::fluidPage( visTreeModuleUI(id = "id1", rpartParams = FALSE, visTreeParams = TRUE)), server = function(input, output, session) { shiny::callModule(visTreeModuleServer, "id1", data = shiny::reactive(rpart(data)), tooltip_data = data) }) # module on data.frame shiny::shinyApp(ui = shiny::fluidPage(visTreeModuleUI(id = "id1", rpartParams = TRUE)), server = function(input, output, session) { shiny::callModule(visTreeModuleServer, "id1", data = shiny::reactive(data)) }) # multiple modules shiny::shinyApp(ui = navbarPage("Menu",shiny::tabPanel( "tt1",shiny::fluidPage(visTreeModuleUI(id = "id1", rpartParams = TRUE, visTreeParams = TRUE)) ), shiny::tabPanel( "tt2",shiny::fluidPage(visTreeModuleUI(id = "id2", rpartParams = FALSE, visTreeParams = FALSE))) ), server = function(input, output, session) { shiny::callModule(visTreeModuleServer, "id1", data = shiny::reactive(iris)) shiny::callModule(visTreeModuleServer, "id2", data = shiny::reactive(rpart(iris))) }) ## End(Not run)
visNetwork object. Need shiny packageVisualize, customize and get back a visNetwork object. Need shiny package
visNetworkEditor(object, filter = NULL, showButton = NULL)visNetworkEditor(object, filter = NULL, showButton = NULL)
object |
: a |
filter |
: see visConfigure |
showButton |
: see visConfigure |
a visNetwork object
See online documentation https://datastorm-open.github.io/visNetwork/
visConfigure, visTree, visNetworkEditorServer
## Not run: nodes <- data.frame(id = 1:3, label = paste("Node", 1:3)) edges <- data.frame(from = c(1,2), to = c(1,3), label = paste("Edge", 1:2)) network <- visNetwork(nodes, edges) custom_network <- visNetworkEditor(object = network) custom_network custom_network <- visNetworkEditor(object = network, filter = "nodes,edges") custom_network ## End(Not run)## Not run: nodes <- data.frame(id = 1:3, label = paste("Node", 1:3)) edges <- data.frame(from = c(1,2), to = c(1,3), label = paste("Edge", 1:2)) network <- visNetwork(nodes, edges) custom_network <- visNetworkEditor(object = network) custom_network custom_network <- visNetworkEditor(object = network, filter = "nodes,edges") custom_network ## End(Not run)
visNetwork object.
Using the javascript interface visConfigure.Module shiny for visualize and customize and get back a visNetwork object.
Using the javascript interface visConfigure.
visNetworkEditorServer( input, output, session, object, filter = shiny::reactive(NULL), showButton = shiny::reactive(NULL) ) visNetworkEditorUI(id, quitButton = FALSE, height = "700px")visNetworkEditorServer( input, output, session, object, filter = shiny::reactive(NULL), showButton = shiny::reactive(NULL) ) visNetworkEditorUI(id, quitButton = FALSE, height = "700px")
input |
|
output |
|
session |
|
object |
a |
filter |
: see visConfigure. Must be a reactive. |
showButton |
: see visConfigure. Must be a reactive. |
id |
|
quitButton |
: logical. Add a button for quit shiny and get back network in R ? |
height |
: height of the configuration div. Default to "700px" |
See online documentation https://datastorm-open.github.io/visNetwork/
visConfigure, visTree, visNetworkEditor
## Not run: nodes <- data.frame(id = 1:3, label = paste("Node", 1:3)) edges <- data.frame(from = c(1,2), to = c(1,3), label = paste("Edge", 1:2)) network <- visNetwork(nodes, edges) shiny::shinyApp(ui = shiny::fluidPage( visNetworkEditorUI(id = "id1")), server = function(input, output, session) { shiny::callModule(visNetworkEditorServer, "id1", object = shiny::reactive(network)) }) ## End(Not run)## Not run: nodes <- data.frame(id = 1:3, label = paste("Node", 1:3)) edges <- data.frame(from = c(1,2), to = c(1,3), label = paste("Edge", 1:2)) network <- visNetwork(nodes, edges) shiny::shinyApp(ui = shiny::fluidPage( visNetworkEditorUI(id = "id1")), server = function(input, output, session) { shiny::callModule(visNetworkEditorServer, "id1", object = shiny::reactive(network)) }) ## End(Not run)
Network visualization nodes options. For full documentation, have a look at visDocumentation.
visNodes( graph, id = NULL, shape = NULL, size = NULL, title = NULL, value = NULL, x = NULL, y = NULL, label = NULL, level = NULL, group = NULL, hidden = NULL, image = NULL, mass = NULL, physics = NULL, borderWidth = NULL, borderWidthSelected = NULL, brokenImage = NULL, labelHighlightBold = NULL, color = NULL, opacity = NULL, fixed = NULL, font = NULL, icon = NULL, shadow = NULL, scaling = NULL, shapeProperties = NULL, heightConstraint = NULL, widthConstraint = NULL, margin = NULL, chosen = NULL, imagePadding = NULL, ctxRenderer = NULL )visNodes( graph, id = NULL, shape = NULL, size = NULL, title = NULL, value = NULL, x = NULL, y = NULL, label = NULL, level = NULL, group = NULL, hidden = NULL, image = NULL, mass = NULL, physics = NULL, borderWidth = NULL, borderWidthSelected = NULL, brokenImage = NULL, labelHighlightBold = NULL, color = NULL, opacity = NULL, fixed = NULL, font = NULL, icon = NULL, shadow = NULL, scaling = NULL, shapeProperties = NULL, heightConstraint = NULL, widthConstraint = NULL, margin = NULL, chosen = NULL, imagePadding = NULL, ctxRenderer = NULL )
graph |
: a visNetwork object |
id |
: String. Default to undefined. The id of the node. The id is mandatory for nodes and they have to be unique. This should obviously be set per node, not globally. |
shape |
: String. Default to 'ellipse'. The shape defines what the node looks like. There are two types of nodes. One type has the label inside of it and the other type has the label underneath it. The types with the label inside of it are: ellipse, circle, database, box, text. The ones with the label outside of it are: image, circularImage, diamond, dot, star, triangle, triangleDown, hexagon, square and icon. |
size |
: Number. Default to 25. The size is used to determine the size of node shapes that do not have the label inside of them. These shapes are: image, circularImage, diamond, dot, star, triangle, triangleDown, hexagon, square and icon |
title |
: String or Element. Default to undefined. Title to be displayed when the user hovers over the node. The title can be an HTML element or a string containing plain text or HTML. |
value |
: Number. Default to undefined. When a value is set, the nodes will be scaled using the options in the scaling object defined above. |
x |
: Number. Default to undefined. This gives a node an initial x position. When using the hierarchical layout, either the x or y position is set by the layout engine depending on the type of view. The other value remains untouched. When using stabilization, the stabilized position may be different from the initial one. To lock the node to that position use the physics or fixed options. |
y |
: Number. Default to undefined. This gives a node an initial y position. When using the hierarchical layout, either the x or y position is set by the layout engine depending on the type of view. The other value remains untouched. When using stabilization, the stabilized position may be different from the initial one. To lock the node to that position use the physics or fixed options. |
label |
: String. Default to undefined. The label is the piece of text shown in or under the node, depending on the shape. |
level |
: Number. Default to undefined. When using the hierarchical layout, the level determines where the node is going to be positioned. |
group |
: String. Default to undefined. When not undefined, the node will belong to the defined group. Styling information of that group will apply to this node. Node specific styling overrides group styling. |
|
: Boolean. Default to false. When true, the node will not be shown. It will still be part of the physics simulation though! |
|
image |
: List or String. Default to undefined. When the shape is set to image or circularImage, this option should be the URL to an image. If the image cannot be found, the brokenImage option can be used.
|
mass |
: Number. Default to 1. The barnesHut physics model (which is enabled by default) is based on an inverted gravity model. By increasing the mass of a node, you increase it's repulsion. Values lower than 1 are not recommended. |
physics |
: Boolean. Default to true. When false, the node is not part of the physics simulation. It will not move except for from manual dragging. |
borderWidth |
: Number. Default to 1. The width of the border of the node when it is not selected, automatically limited by the width of the node. |
borderWidthSelected |
: Number. Default to 2. The width of the border of the node when it is selected. If left at undefined, double the borderWidth will be used. |
brokenImage |
: String. Undefined. When the shape is set to image or circularImage, this option can be an URL to a backup image in case the URL supplied in the image option cannot be resolved |
labelHighlightBold |
: Boolean. Default to true. Determines whether or not the label becomes bold when the node is selected. |
color |
: String | named list. Color for the node. Can be 'rgba(120,32,14,1)', '#D2E5FF' (hexa notation on 7 char without transparency) or 'red'. Can be just one color, or a list with several elements :
|
opacity |
: Number. Overall opacity of a node (overrides any opacity on border, background, image, and shadow) |
fixed |
: Boolean | named list. Default to false. When true, the node will not move but IS part of the physics simulation. When defined as an list, movement in either X or Y direction can be disabled.
|
font |
: Named list or String. This object defines the details of the label. A shorthand is also supported in the form 'size face color' for example: '14px arial red'
|
icon |
: Named list. These options are only used when the shape is set to 'icon'. See addFontAwesome, addIonicons
|
shadow |
: Boolean | named list. Default to false. When true, the node casts a shadow using the default settings. This can be further refined by supplying a list
|
scaling |
: Named list. If the value option is specified, the size of the nodes will be scaled according to the properties in this object.
|
shapeProperties |
: See visDocumentation |
heightConstraint |
: See visDocumentation |
widthConstraint |
: See visDocumentation |
margin |
: See visDocumentation |
chosen |
: See visDocumentation |
imagePadding |
: See visDocumentation |
ctxRenderer |
: See visDocumentation |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: nodes <- data.frame(id = 1:3) edges <- data.frame(from = c(1,2), to = c(1,3)) visNetwork(nodes, edges) %>% visNodes(shape = "square", title = "I'm a node", borderWidth = 3) visNetwork(nodes, edges) %>% visNodes(color = list(hover = "green")) %>% visInteraction(hover = TRUE) visNetwork(nodes, edges) %>% visNodes(color = "red") visNetwork(nodes, edges) %>% visNodes(color = list(background = "red", border = "blue", highlight = "yellow")) visNetwork(nodes, edges) %>% visNodes(shadow = TRUE) visNetwork(nodes, edges) %>% visNodes(shadow = list(enabled = TRUE, size = 50)) ## End(Not run)## Not run: nodes <- data.frame(id = 1:3) edges <- data.frame(from = c(1,2), to = c(1,3)) visNetwork(nodes, edges) %>% visNodes(shape = "square", title = "I'm a node", borderWidth = 3) visNetwork(nodes, edges) %>% visNodes(color = list(hover = "green")) %>% visInteraction(hover = TRUE) visNetwork(nodes, edges) %>% visNodes(color = "red") visNetwork(nodes, edges) %>% visNodes(color = list(background = "red", border = "blue", highlight = "yellow")) visNetwork(nodes, edges) %>% visNodes(shadow = TRUE) visNetwork(nodes, edges) %>% visNodes(shadow = list(enabled = TRUE, size = 50)) ## End(Not run)
Network visualization general options. For full documentation, have a look at visDocumentation.
visOptions( graph, width = NULL, height = NULL, highlightNearest = FALSE, nodesIdSelection = FALSE, selectedBy = NULL, collapse = FALSE, autoResize = NULL, clickToUse = NULL, manipulation = NULL )visOptions( graph, width = NULL, height = NULL, highlightNearest = FALSE, nodesIdSelection = FALSE, selectedBy = NULL, collapse = FALSE, autoResize = NULL, clickToUse = NULL, manipulation = NULL )
graph |
: a visNetwork object |
width |
: String. Default to "100%". The width of the network in pixels or as a percentage. |
height |
: String. Default to "100%". The height of the network in pixels or as a percentage. |
highlightNearest |
: Custom Option. Just a Boolean, or a named list. Default to false. Highlight nearest when clicking a node ? Not available for DOT and Gephi.
|
nodesIdSelection |
: Custom Option. Just a Boolean, or a named list. Default to false. Add an id node selection creating an HTML select element. This options use click event. Not available for DOT and Gephi.
|
selectedBy |
: Custom option. Character or a named list. Add a multiple selection based on column of node data.frame creating an HTML select element. Not available for DOT and Gephi.
|
collapse |
: Custom option. Just a Boolean, or a named list. Collapse / Uncollapse nodes using double-click. In dev.
|
autoResize |
: Boolean. Default to true. If true, the Network will automatically detect when its container is resized, and redraw itself accordingly. If false, the Network can be forced to repaint after its container has been resized using the function redraw() and setSize(). |
clickToUse |
: Boolean. Default to false. When a Network is configured to be clickToUse, it will react to mouse, touch, and keyboard events only when active. When active, a blue shadow border is displayed around the Network. The Network is set active by clicking on it, and is changed to inactive again by clicking outside the Network or by pressing the ESC key. |
manipulation |
: Just a Boolean or a list. See visDocumentation. You can also choose the columns to edit :
|
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: nodes <- data.frame(id = 1:15, label = paste("Label", 1:15), group = sample(LETTERS[1:3], 15, replace = TRUE)) edges <- data.frame(from = trunc(runif(15)*(15-1))+1, to = trunc(runif(15)*(15-1))+1) ################### # highlight nearest ################### visNetwork(nodes, edges) %>% visOptions(highlightNearest = TRUE) visNetwork(nodes, edges) %>% visOptions(highlightNearest = list(enabled = TRUE, degree = 2)) # also when hover a node ? visNetwork(nodes, edges) %>% visOptions(highlightNearest = list(enabled = TRUE, hover = TRUE)) # don't show nodes/edges visNetwork(nodes, edges) %>% visOptions(highlightNearest = list(enabled = TRUE, hover = TRUE, hideColor = 'rgba(200,200,200,0)')) # Using hierarchical information nodes = data.frame(id = 1:6, level = c(1, 2, 3, 3, 4, 2)) edges = data.frame(from = c(1, 2, 2, 4, 6), to = c(2, 3, 4, 5, 4)) visNetwork(nodes, edges) %>% visHierarchicalLayout() %>% visEdges(arrows = "to") %>% visOptions(highlightNearest = list(enabled = TRUE, algorithm = "hierarchical")) visNetwork(nodes, edges) %>% visHierarchicalLayout() %>% visEdges(arrows = "to") %>% visOptions(highlightNearest = list(enabled = TRUE, algorithm = "hierarchical", degree = list(from = 0, to = 2))) ########################## # nodesIdSelection ########################## visNetwork(nodes, edges) %>% visOptions(highlightNearest = TRUE, nodesIdSelection = TRUE) # add a default selected node ? visNetwork(nodes, edges) %>% visOptions(highlightNearest = TRUE, nodesIdSelection = list(enabled = TRUE, selected = "1")) # subset on id values & don't use labels ? visNetwork(nodes, edges) %>% visOptions(highlightNearest = TRUE, nodesIdSelection = list(enabled = TRUE, selected = "2", values = c(2:10), useLabels = FALSE)) # some style visNetwork(nodes, edges) %>% visOptions(highlightNearest = TRUE, nodesIdSelection = list(enabled = TRUE, style = 'width: 200px; height: 26px; background: #f8f8f8; color: darkblue; border:none; outline:none;')) ########################## # collapse ########################## nodes <- data.frame(id = 1:15, label = paste("Label", 1:15), group = sample(LETTERS[1:3], 15, replace = TRUE)) edges <- data.frame(from = trunc(runif(15)*(15-1))+1, to = trunc(runif(15)*(15-1))+1) # keeping all parent node attributes visNetwork(nodes, edges) %>% visEdges(arrows = "to") %>% visOptions(collapse = TRUE) # setting some properties visNetwork(nodes, edges) %>% visEdges(arrows = "to") %>% visOptions(collapse = list(enabled = TRUE, clusterOptions = list(shape = "square"))) # enable / disable open cluster (proxy only) : # visEvents(type = "off", doubleClick = "networkOpenCluster") # visEvents(type = "on", doubleClick = "networkOpenCluster") ########################## # selectedBy ########################## nodes <- data.frame(id = 1:15, label = paste("Label", 1:15), group = sample(LETTERS[1:3], 15, replace = TRUE)) edges <- data.frame(from = trunc(runif(15)*(15-1))+1, to = trunc(runif(15)*(15-1))+1) visNetwork(nodes, edges) %>% visOptions(selectedBy = "group") # add a default value ? visNetwork(nodes, edges) %>% visOptions(selectedBy = list(variable = "group", selected = "A")) # subset on values ? visNetwork(nodes, edges) %>% visOptions(selectedBy = list(variable = "group", selected = "C", values = c("A", "C"))) # highlight also visNetwork(nodes, edges) %>% visOptions(selectedBy = list(variable = "group", highlight = TRUE), highlightNearest = TRUE) # add some style visNetwork(nodes, edges) %>% visOptions(selectedBy = list(variable = "group", style = 'width: 200px; height: 26px; background: #f8f8f8; color: darkblue; border:none; outline:none;')) # can also be on new column nodes$sample <- sample(c("sample 1", "sample 2"), nrow(nodes), replace = TRUE) visNetwork(nodes, edges) %>% visOptions(selectedBy = "sample") # and with multiple groups ? nodes$group <- sample(c("group 1", "group 2", "group 1, group 2, group 3"), nrow(nodes), replace = TRUE) visNetwork(nodes, edges) %>% visOptions(selectedBy = list(variable = "group", multiple = TRUE)) ########################## # manipulation ########################## visNetwork(nodes, edges) %>% visOptions(manipulation = TRUE) visNetwork(nodes, edges) %>% visOptions(manipulation = list(enabled = TRUE, addNode = FALSE, addEdge = FALSE)) visNetwork(nodes, edges) %>% visOptions(manipulation = list(enabled = TRUE, deleteNode = FALSE, deleteEdge = FALSE)) visNetwork(nodes, edges) %>% visOptions(manipulation = list(enabled = TRUE, editNode = FALSE, editEdge = FALSE)) # choose columns to edit visNetwork(nodes, edges) %>% visOptions(manipulation = list(enabled = TRUE, editEdgeCols = c("label"), editNodeCols = c("id", "label", "title", "size"), addNodeCols = c("label", "group"))) # choose columns to edit + input html type (text, number, ...) # https://www.w3schools.com/tags/att_input_type.asp visNetwork(nodes, edges) %>% visOptions(manipulation = list(enabled = TRUE, editEdgeCols = c("label"), editNodeCols = list( "text" = c("id", "label", "title"), "number" = c("size") ), addNodeCols = c("label", "group"))) visNetwork(nodes, edges) %>% visOptions(manipulation = list(enabled = TRUE, editEdge = htmlwidgets::JS("function(data, callback) { callback(data); console.info('edit edge') }") ) ) ########################## # collapse ########################## visNetwork(nodes, edges) %>% visEdges(arrows = "to") %>% visOptions(collapse = list(enabled = TRUE, clusterOptions = list(shape = "square"))) ## End(Not run)## Not run: nodes <- data.frame(id = 1:15, label = paste("Label", 1:15), group = sample(LETTERS[1:3], 15, replace = TRUE)) edges <- data.frame(from = trunc(runif(15)*(15-1))+1, to = trunc(runif(15)*(15-1))+1) ################### # highlight nearest ################### visNetwork(nodes, edges) %>% visOptions(highlightNearest = TRUE) visNetwork(nodes, edges) %>% visOptions(highlightNearest = list(enabled = TRUE, degree = 2)) # also when hover a node ? visNetwork(nodes, edges) %>% visOptions(highlightNearest = list(enabled = TRUE, hover = TRUE)) # don't show nodes/edges visNetwork(nodes, edges) %>% visOptions(highlightNearest = list(enabled = TRUE, hover = TRUE, hideColor = 'rgba(200,200,200,0)')) # Using hierarchical information nodes = data.frame(id = 1:6, level = c(1, 2, 3, 3, 4, 2)) edges = data.frame(from = c(1, 2, 2, 4, 6), to = c(2, 3, 4, 5, 4)) visNetwork(nodes, edges) %>% visHierarchicalLayout() %>% visEdges(arrows = "to") %>% visOptions(highlightNearest = list(enabled = TRUE, algorithm = "hierarchical")) visNetwork(nodes, edges) %>% visHierarchicalLayout() %>% visEdges(arrows = "to") %>% visOptions(highlightNearest = list(enabled = TRUE, algorithm = "hierarchical", degree = list(from = 0, to = 2))) ########################## # nodesIdSelection ########################## visNetwork(nodes, edges) %>% visOptions(highlightNearest = TRUE, nodesIdSelection = TRUE) # add a default selected node ? visNetwork(nodes, edges) %>% visOptions(highlightNearest = TRUE, nodesIdSelection = list(enabled = TRUE, selected = "1")) # subset on id values & don't use labels ? visNetwork(nodes, edges) %>% visOptions(highlightNearest = TRUE, nodesIdSelection = list(enabled = TRUE, selected = "2", values = c(2:10), useLabels = FALSE)) # some style visNetwork(nodes, edges) %>% visOptions(highlightNearest = TRUE, nodesIdSelection = list(enabled = TRUE, style = 'width: 200px; height: 26px; background: #f8f8f8; color: darkblue; border:none; outline:none;')) ########################## # collapse ########################## nodes <- data.frame(id = 1:15, label = paste("Label", 1:15), group = sample(LETTERS[1:3], 15, replace = TRUE)) edges <- data.frame(from = trunc(runif(15)*(15-1))+1, to = trunc(runif(15)*(15-1))+1) # keeping all parent node attributes visNetwork(nodes, edges) %>% visEdges(arrows = "to") %>% visOptions(collapse = TRUE) # setting some properties visNetwork(nodes, edges) %>% visEdges(arrows = "to") %>% visOptions(collapse = list(enabled = TRUE, clusterOptions = list(shape = "square"))) # enable / disable open cluster (proxy only) : # visEvents(type = "off", doubleClick = "networkOpenCluster") # visEvents(type = "on", doubleClick = "networkOpenCluster") ########################## # selectedBy ########################## nodes <- data.frame(id = 1:15, label = paste("Label", 1:15), group = sample(LETTERS[1:3], 15, replace = TRUE)) edges <- data.frame(from = trunc(runif(15)*(15-1))+1, to = trunc(runif(15)*(15-1))+1) visNetwork(nodes, edges) %>% visOptions(selectedBy = "group") # add a default value ? visNetwork(nodes, edges) %>% visOptions(selectedBy = list(variable = "group", selected = "A")) # subset on values ? visNetwork(nodes, edges) %>% visOptions(selectedBy = list(variable = "group", selected = "C", values = c("A", "C"))) # highlight also visNetwork(nodes, edges) %>% visOptions(selectedBy = list(variable = "group", highlight = TRUE), highlightNearest = TRUE) # add some style visNetwork(nodes, edges) %>% visOptions(selectedBy = list(variable = "group", style = 'width: 200px; height: 26px; background: #f8f8f8; color: darkblue; border:none; outline:none;')) # can also be on new column nodes$sample <- sample(c("sample 1", "sample 2"), nrow(nodes), replace = TRUE) visNetwork(nodes, edges) %>% visOptions(selectedBy = "sample") # and with multiple groups ? nodes$group <- sample(c("group 1", "group 2", "group 1, group 2, group 3"), nrow(nodes), replace = TRUE) visNetwork(nodes, edges) %>% visOptions(selectedBy = list(variable = "group", multiple = TRUE)) ########################## # manipulation ########################## visNetwork(nodes, edges) %>% visOptions(manipulation = TRUE) visNetwork(nodes, edges) %>% visOptions(manipulation = list(enabled = TRUE, addNode = FALSE, addEdge = FALSE)) visNetwork(nodes, edges) %>% visOptions(manipulation = list(enabled = TRUE, deleteNode = FALSE, deleteEdge = FALSE)) visNetwork(nodes, edges) %>% visOptions(manipulation = list(enabled = TRUE, editNode = FALSE, editEdge = FALSE)) # choose columns to edit visNetwork(nodes, edges) %>% visOptions(manipulation = list(enabled = TRUE, editEdgeCols = c("label"), editNodeCols = c("id", "label", "title", "size"), addNodeCols = c("label", "group"))) # choose columns to edit + input html type (text, number, ...) # https://www.w3schools.com/tags/att_input_type.asp visNetwork(nodes, edges) %>% visOptions(manipulation = list(enabled = TRUE, editEdgeCols = c("label"), editNodeCols = list( "text" = c("id", "label", "title"), "number" = c("size") ), addNodeCols = c("label", "group"))) visNetwork(nodes, edges) %>% visOptions(manipulation = list(enabled = TRUE, editEdge = htmlwidgets::JS("function(data, callback) { callback(data); console.info('edit edge') }") ) ) ########################## # collapse ########################## visNetwork(nodes, edges) %>% visEdges(arrows = "to") %>% visOptions(collapse = list(enabled = TRUE, clusterOptions = list(shape = "square"))) ## End(Not run)
Network visualization Physics options. For full documentation, have a look at visDocumentation.
visPhysics( graph, solver = NULL, maxVelocity = NULL, minVelocity = NULL, timestep = NULL, barnesHut = NULL, forceAtlas2Based = NULL, repulsion = NULL, hierarchicalRepulsion = NULL, stabilization = NULL, adaptiveTimestep = NULL, wind = NULL, enabled = NULL )visPhysics( graph, solver = NULL, maxVelocity = NULL, minVelocity = NULL, timestep = NULL, barnesHut = NULL, forceAtlas2Based = NULL, repulsion = NULL, hierarchicalRepulsion = NULL, stabilization = NULL, adaptiveTimestep = NULL, wind = NULL, enabled = NULL )
graph |
: a visNetwork object |
solver |
: String. Default to 'barnesHut'. You can select your own solver. Possible options: 'barnesHut', 'repulsion', 'hierarchicalRepulsion', 'forceAtlas2Based'. When setting the hierarchical layout, the hierarchical repulsion solver is automaticaly selected, regardless of what you fill in here. |
maxVelocity |
: Number. Default to 50. The physics module limits the maximum velocity of the nodes to increase the time to stabilization. This is the maximum value. |
minVelocity |
: Number. Default to 0.1. Once the minimum velocity is reached for all nodes, we assume the network has been stabilized and the simulation stops. |
timestep |
: Number. Default to 0.5. The physics simulation is discrete. This means we take a step in time, calculate the forces, move the nodes and take another step. If you increase this number the steps will be too large and the network can get unstable. If you see a lot of jittery movement in the network, you may want to reduce this value a little. |
barnesHut |
named list of options
|
forceAtlas2Based |
named list of options
|
repulsion |
named list of options
|
hierarchicalRepulsion |
named list of options
|
stabilization |
Just a boolean, or a named list of options
|
adaptiveTimestep |
: Boolean. Default to true. If this is enabled, the timestep will intelligently be adapted (only during the stabilization stage if stabilization is enabled!) to greatly decrease stabilization times. The timestep configured above is taken as the minimum timestep. This can be further improved by using the improvedLayout algorithm. |
wind |
Named list. A force that pushes all non-fixed nodes in the given direction. Requires all nodes are connected to nodes which are fixed, otherwise non-attached nodes will keep moving indefinitely.
|
enabled |
: Boolean. Default to true. Toggle the physics system on or off. This property is optional. If you define any of the options below and enabled is undefined, this will be set to true. |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
nodes <- data.frame(id = 1:10) edges <- data.frame(from = round(runif(8)*10), to = round(runif(8)*10)) visNetwork(nodes, edges) %>% visPhysics(solver = "repulsion") visNetwork(nodes, edges) %>% visPhysics(solver = "forceAtlas2Based", forceAtlas2Based = list(gravitationalConstant = -10)) visNetwork(nodes, edges) %>% visPhysics(stabilization = FALSE)nodes <- data.frame(id = 1:10) edges <- data.frame(from = round(runif(8)*10), to = round(runif(8)*10)) visNetwork(nodes, edges) %>% visPhysics(solver = "repulsion") visNetwork(nodes, edges) %>% visPhysics(solver = "forceAtlas2Based", forceAtlas2Based = list(gravitationalConstant = -10)) visNetwork(nodes, edges) %>% visPhysics(stabilization = FALSE)
Network visualization redraw method For use redraw() method in a shiny app. For full documentation, have a look at visDocumentation.
visRedraw(graph)visRedraw(graph)
graph |
: a |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
Function to remove edges from network, with shiny only.
visRemoveEdges(graph, id, legend = FALSE)visRemoveEdges(graph, id, legend = FALSE)
graph |
: a |
id |
: vector of id, edges to remove |
legend |
: Boolean. Remove edges on legend ? Default to FALSE |
See online documentation https://datastorm-open.github.io/visNetwork/
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
Function to remove nodes from network, with shiny only.
visRemoveNodes(graph, id, updateOptions = TRUE, legend = FALSE)visRemoveNodes(graph, id, updateOptions = TRUE, legend = FALSE)
graph |
: a |
id |
: vector of id, nodes to remove |
updateOptions |
: Boolean. Update options (nodesIdSelection & selectedBy) if needed ? Default to TRUE. |
legend |
: Boolean. Remove nodes on legend ? Default to FALSE |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
Save a a visNetwork object to an HTML file for sharing with others. The HTML can include it's dependencies in an adjacent directory or can bundle all dependencies into the HTML file (via base64 encoding).
visSave(graph, file, selfcontained = TRUE, background = "white")visSave(graph, file, selfcontained = TRUE, background = "white")
graph |
: a visNetwork object |
file |
: File to save HTML into. See saveWidget |
selfcontained |
: Whether to save the HTML as a single self-contained file (with external resources base64 encoded) or a file with external resources placed in an adjacent directory. |
background |
: Text string giving the html background color of the widget. Defaults to white. |
See online documentation https://datastorm-open.github.io/visNetwork/
## Not run: nodes <- data.frame(id = 1:3, group = c("B", "A", "B")) edges <- data.frame(from = c(1,2), to = c(2,3)) network <- visNetwork(nodes, edges) network network %>% visSave(file = "network.html", background = "black") # same as visSave(network, file = "network.html", background = "black") ## End(Not run)## Not run: nodes <- data.frame(id = 1:3, group = c("B", "A", "B")) edges <- data.frame(from = c(1,2), to = c(2,3)) network <- visNetwork(nodes, edges) network network %>% visSave(file = "network.html", background = "black") # same as visSave(network, file = "network.html", background = "black") ## End(Not run)
Function to select edges(s) from network, with shiny only.
visSelectEdges(graph, id)visSelectEdges(graph, id)
graph |
: a |
id |
: vector of id, edges(s) to select |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
Function to select node(s) from network, with shiny only.
visSelectNodes(graph, id, highlightEdges = TRUE, clickEvent = TRUE)visSelectNodes(graph, id, highlightEdges = TRUE, clickEvent = TRUE)
graph |
: a |
id |
: vector of id, node(s) to select |
highlightEdges |
: Boolean. highlight Edges also ? Default to TRUE |
clickEvent |
: Boolean. Launch click event ? (highlightNearest for example) Default to TRUE |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
For use setData() method in a shiny app. For full documentation, have a look at visDocumentation.
visSetData(graph, nodes = NULL, edges = NULL)visSetData(graph, nodes = NULL, edges = NULL)
graph |
: a |
nodes |
: data.frame with nodes informations. Needed at least column "id". See visNodes |
edges |
: data.frame with edges informations. Needed at least columns "from" and "to". See visEdges |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
Network visualization full options setter. Using this function, you can pass all network options you want, respecting the library format rather than use visNodes, visEdges, visGroups.... There is no control, so it's at your own risk !
visSetOptions(graph, options = NULL)visSetOptions(graph, options = NULL)
graph |
: a visNetwork object |
options |
: a named list with all options you want to add to your network. |
See online documentation https://datastorm-open.github.io/visNetwork/
nodes <- data.frame(id = 1:3) edges <- data.frame(from = c(1,2), to = c(1,3)) # using visNetwork functions visNetwork(nodes, edges) %>% visNodes(shape = "square", color = "red") %>% visEdges(arrows = "to") # directly use visSetOptions visNetwork(nodes, edges) %>% visSetOptions(options = list(nodes = list(shape = "square", color = "red"), edges = list(arrows = "to")))nodes <- data.frame(id = 1:3) edges <- data.frame(from = c(1,2), to = c(1,3)) # using visNetwork functions visNetwork(nodes, edges) %>% visNodes(shape = "square", color = "red") %>% visEdges(arrows = "to") # directly use visSetOptions visNetwork(nodes, edges) %>% visSetOptions(options = list(nodes = list(shape = "square", color = "red"), edges = list(arrows = "to")))
Function to select edge(s) / node(s) from network, with shiny only.
visSetSelection( graph, nodesId = NULL, edgesId = NULL, unselectAll = TRUE, highlightEdges = TRUE, clickEvent = TRUE )visSetSelection( graph, nodesId = NULL, edgesId = NULL, unselectAll = TRUE, highlightEdges = TRUE, clickEvent = TRUE )
graph |
: a |
nodesId |
: vector of id, nodes(s) to select |
edgesId |
: vector of id, edges(s) to select |
unselectAll |
: Boolean. Unselect all nodes & edges before current selection ? Default to TRUE |
highlightEdges |
: Boolean. highlight Edges also ? Default to TRUE |
clickEvent |
: Boolean. Launch click event ? (highlightNearest for example) Default to TRUE |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
visNetworkProxy
Set title, subtitle, and footer using visNetworkProxy
visSetTitle(graph, main = NULL, submain = NULL, footer = NULL)visSetTitle(graph, main = NULL, submain = NULL, footer = NULL)
graph |
: a |
main |
: For add a title. Character or a named list.
|
submain |
: For add a subtitle. Character or a named list.
|
footer |
: For add a footer. Character or a named list.
|
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
For use stabilize() method in a shiny app. For full documentation, have a look at visDocumentation.
visStabilize(graph, iterations = NULL)visStabilize(graph, iterations = NULL)
graph |
: a |
iterations |
: Optional. If wanted, the number of iterations |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
For use startSimulation() method in a shiny app. For full documentation, have a look at visDocumentation.
visStartSimulation(graph)visStartSimulation(graph)
graph |
: a |
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
For use stopSimulation() method in a shiny app. For full documentation, have a look at visDocumentation.
visStopSimulation(graph)visStopSimulation(graph)
graph |
: a |
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
Method storePositions, with shiny only. Put the X and Y positions of all nodes into that dataset.
visStorePositions(graph)visStorePositions(graph)
graph |
: a |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
Visualize Recursive Partitioning and Regression Trees rpart. Have a look to visTreeEditor to edity and get back network, or to visTreeModuleServer to use custom tree module in R
visTree( object, data = NULL, tooltipColumns = if (!is.null(data)) { 1:ncol(data) } else { NULL }, main = "", submain = "", footer = "", direction = "UD", fallenLeaves = FALSE, rules = TRUE, simplifyRules = TRUE, shapeVar = "dot", shapeY = "square", colorVar = NULL, colorY = NULL, colorEdges = "#8181F7", nodesFontSize = 16, edgesFontSize = 14, edgesFontAlign = "horizontal", legend = TRUE, legendNodesSize = 22, legendFontSize = 16, legendWidth = 0.1, legendNcol = 1, legendPosition = "left", nodesPopSize = FALSE, minNodeSize = 15, maxNodeSize = 30, highlightNearest = list(enabled = TRUE, degree = list(from = 50000, to = 0), hover = FALSE, algorithm = "hierarchical"), collapse = list(enabled = TRUE, fit = TRUE, resetHighlight = TRUE, clusterOptions = list(fixed = TRUE, physics = FALSE)), updateShape = TRUE, tooltipDelay = 500, digits = 3, height = "600px", width = "100%", export = TRUE )visTree( object, data = NULL, tooltipColumns = if (!is.null(data)) { 1:ncol(data) } else { NULL }, main = "", submain = "", footer = "", direction = "UD", fallenLeaves = FALSE, rules = TRUE, simplifyRules = TRUE, shapeVar = "dot", shapeY = "square", colorVar = NULL, colorY = NULL, colorEdges = "#8181F7", nodesFontSize = 16, edgesFontSize = 14, edgesFontAlign = "horizontal", legend = TRUE, legendNodesSize = 22, legendFontSize = 16, legendWidth = 0.1, legendNcol = 1, legendPosition = "left", nodesPopSize = FALSE, minNodeSize = 15, maxNodeSize = 30, highlightNearest = list(enabled = TRUE, degree = list(from = 50000, to = 0), hover = FALSE, algorithm = "hierarchical"), collapse = list(enabled = TRUE, fit = TRUE, resetHighlight = TRUE, clusterOptions = list(fixed = TRUE, physics = FALSE)), updateShape = TRUE, tooltipDelay = 500, digits = 3, height = "600px", width = "100%", export = TRUE )
object |
|
data |
|
tooltipColumns |
|
main |
Title. See visNetwork |
submain |
Subtitle. See visNetwork |
footer |
Footer. See visNetwork |
direction |
|
fallenLeaves |
|
rules |
|
simplifyRules |
|
shapeVar |
|
shapeY |
|
colorVar |
|
colorY |
if classification tree :
if regression tree : |
colorEdges |
|
nodesFontSize |
|
edgesFontSize |
|
edgesFontAlign |
|
legend |
|
legendNodesSize |
|
legendFontSize |
|
legendWidth |
|
legendNcol |
|
legendPosition |
|
nodesPopSize |
|
minNodeSize |
|
maxNodeSize |
|
highlightNearest |
|
collapse |
|
updateShape |
|
tooltipDelay |
|
digits |
|
height |
|
width |
|
export |
|
a visNetwork object
See online documentation https://datastorm-open.github.io/visNetwork/
visTreeEditor, visTreeModuleServer, visNetworkEditor
## Not run: library(rpart) # Basic classification tree res <- rpart(Species~., data=iris) visTree(res, data = iris, main = "Iris classification Tree") # Basic regression tree res <- rpart(Petal.Length~., data=iris) visTree(res, edgesFontSize = 14, nodesFontSize = 16) # Complex tree data("solder") res <- rpart(Opening~., data = solder, control = rpart.control(cp = 0.00005)) visTree(res, data = solder, nodesPopSize = TRUE, minNodeSize = 10, maxNodeSize = 30, height = "800px") # ----- Options res <- rpart(Opening~., data = solder, control = rpart.control(cp = 0.005)) # fallen leaves + align edges label & size visTree(res, fallenLeaves = TRUE, height = "500px", edgesFontAlign = "middle", edgesFontSize = 20) # disable rules in tooltip, and render tooltip faster # enable hover highlight visTree(res, rules = FALSE, tooltipDelay = 0, highlightNearest = list(enabled = TRUE, degree = list(from = 50000, to = 0), hover = TRUE, algorithm = "hierarchical")) # Change color with data.frame colorVar <- data.frame(variable = names(solder), color = c("#339933", "#b30000","#4747d1","#88cc00", "#9900ff","#247856")) colorY <- data.frame(modality = unique(solder$Opening), color = c("#AA00AA", "#CDAD15", "#213478")) visTree(res, colorEdges = "#000099", colorVar = colorVar, colorY = colorY) # Change color with vector visTree(res, colorEdges = "#000099", colorVar = substring(rainbow(6), 1, 7), colorY = c("blue", "green", "orange")) # Use visNetwork functions to add more options visTree(res) %>% visOptions(highlightNearest = TRUE) ## End(Not run)## Not run: library(rpart) # Basic classification tree res <- rpart(Species~., data=iris) visTree(res, data = iris, main = "Iris classification Tree") # Basic regression tree res <- rpart(Petal.Length~., data=iris) visTree(res, edgesFontSize = 14, nodesFontSize = 16) # Complex tree data("solder") res <- rpart(Opening~., data = solder, control = rpart.control(cp = 0.00005)) visTree(res, data = solder, nodesPopSize = TRUE, minNodeSize = 10, maxNodeSize = 30, height = "800px") # ----- Options res <- rpart(Opening~., data = solder, control = rpart.control(cp = 0.005)) # fallen leaves + align edges label & size visTree(res, fallenLeaves = TRUE, height = "500px", edgesFontAlign = "middle", edgesFontSize = 20) # disable rules in tooltip, and render tooltip faster # enable hover highlight visTree(res, rules = FALSE, tooltipDelay = 0, highlightNearest = list(enabled = TRUE, degree = list(from = 50000, to = 0), hover = TRUE, algorithm = "hierarchical")) # Change color with data.frame colorVar <- data.frame(variable = names(solder), color = c("#339933", "#b30000","#4747d1","#88cc00", "#9900ff","#247856")) colorY <- data.frame(modality = unique(solder$Opening), color = c("#AA00AA", "#CDAD15", "#213478")) visTree(res, colorEdges = "#000099", colorVar = colorVar, colorY = colorY) # Change color with vector visTree(res, colorEdges = "#000099", colorVar = substring(rainbow(6), 1, 7), colorY = c("blue", "green", "orange")) # Use visNetwork functions to add more options visTree(res) %>% visOptions(highlightNearest = TRUE) ## End(Not run)
Needed packages : shiny, rpart, colourpicker, shinyWidgets
visTreeEditor(data, ...)visTreeEditor(data, ...)
data |
|
... |
all arguments except |
See online documentation https://datastorm-open.github.io/visNetwork/
visTree, visTreeModuleServer, visNetworkEditor
## Not run: net <- visTreeEditor(data = iris) net <- visTreeEditor(data = rpart(iris), main = "visTree Editor") net <- visTreeEditor(data = rpart(iris), tooltip_data = iris, main = "visTree Editor") net ## End(Not run)## Not run: net <- visTreeEditor(data = iris) net <- visTreeEditor(data = rpart(iris), main = "visTree Editor") net <- visTreeEditor(data = rpart(iris), tooltip_data = iris, main = "visTree Editor") net ## End(Not run)
For use unselectAll() method in a shiny app. For full documentation, have a look at visDocumentation.
visUnselectAll(graph)visUnselectAll(graph)
graph |
: a |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
Function to update the information of edges, with shiny only. You can also use this function passing new edges. The link is based on id.
visUpdateEdges(graph, edges, legend = FALSE)visUpdateEdges(graph, edges, legend = FALSE)
graph |
: a |
edges |
: data.frame with the information of edges. See visEdges
|
legend |
: Boolean. Update edges on legend ? Default to FALSE |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)
Function to update the information of nodes, with shiny only. You can also use this function passing new nodes. The link is based on id.
visUpdateNodes(graph, nodes, updateOptions = TRUE, legend = FALSE)visUpdateNodes(graph, nodes, updateOptions = TRUE, legend = FALSE)
graph |
: a |
nodes |
: data.frame with the information of nodes. Needed at least column "id". See visNodes
|
updateOptions |
: Boolean. Update options (nodesIdSelection & selectedBy) if needed ? Default to TRUE. |
legend |
: Boolean. Update nodes on legend ? Default to FALSE |
See online documentation https://datastorm-open.github.io/visNetwork/
visNodes for nodes options, visEdges for edges options, visGroups for groups options, visLegend for adding legend, visOptions for custom option, visLayout & visHierarchicalLayout for layout, visPhysics for control physics, visInteraction for interaction, visNetworkProxy & visFocus & visFit for animation within shiny, visDocumentation, visEvents, visConfigure ...
## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)## Not run: # have a look to : shiny::runApp(system.file("shiny", package = "visNetwork")) ## End(Not run)