visClusteringByColor {visNetwork} | R Documentation |
Network visualization clustering options - by color.
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, legend = TRUE) %>% 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 : ") visNetwork(nodes, edges, legend = TRUE) %>% visGroups(groupname = "A", color = "red", shape = "triangle") %>% visGroups(groupname = "B", color = "yellow", shape = "triangle") %>% visClusteringByGroup(groups = c("A","B"))