Greeting folks,
I have been struggling with adding a colour group to a networkd3 object in r for the purpose of a network visual. The code to render the visual is stable but I currently have the grouping variable set to 1. The tricky bit is that I have a separate table for which I am using to evaluate a colour group.
I tried to add it as a vector by first generating a list.
V(network)$color <- group[V(network)$name]
I have also tried a custom function called makeVertexAtt as well as using set_vertex_attr and vertex_attr-set from igraph but to no avail. The issue I get in doing a simple join within a network object is cannot coerce class ‘"igraph.vs"’ to a data.frame. Fair enough, but if I create the vector and add it in I get Not a graph object errors.
Let's say for example (since this is not a graph object) I have this vector of names:
V(Graph)$names<-c("knife","kitchen","toilet","shower","toothbrush", "shed")
I then have a separate data set that has two columns, the word and the category.
Word<-c("knife","kitchen","toilet","shower","toothbrush")
Category <-c("Kitchen","Kitchen","bathroom","bathroom","bathroom")
I would ideally want a V(graph)$color attribute that has a matching vector
V(graph)$color<-c("Kitchen","Kitchen","bathroom","bathroom","bathroom","N/A")
Any ideas would be appreciated.
here's an easy way to merge group information from one data frame to your nodes data frame
names <- c("knife", "kitchen", "toilet", "shower", "toothbrush", "shed")
nodes <- data.frame(names, stringsAsFactors = FALSE)
Word <- c("knife", "kitchen", "toilet", "shower", "toothbrush")
Category <- c("Kitchen", "Kitchen", "bathroom", "bathroom", "bathroom")
group <- data.frame(Word, Category, stringsAsFactors = FALSE)
nodes$group <- group$Category[match(nodes$names, group$Word)]
nodes
# names group
# 1 knife Kitchen
# 2 kitchen Kitchen
# 3 toilet bathroom
# 4 shower bathroom
# 5 toothbrush bathroom
# 6 shed <NA>