I am looking for an R function to build the specific type of diagram shown here. Data.tree seems promising, but I'm stuck.
My goal (shown in the image) is merely a hierarchical diagram showing counts of values in different categories from a dataframe, getting more specific as you go down. It is not a decision tree or a flow chart. What's important is something that will tabulate the count of features in each category given a dataframe and the variables I want in each level.
here's a sample of my data:
tree_data = data.frame(Context = c("urban", "rural", "urban", "urban", "rural", "rural"),
Lighting = c("daylight", "dark", "dark", "daylight", "daylight", "dark"),
Driver_age = c("Senior", "Adult", "Adult", "Adult", "Adult", "Senior"))
And the desired output:
I have gotten this far with data.tree:
tree_data$pathString = paste("crashes",
tree_data$Context,
tree_data$Lighting,
tree_data$Driver_age,
sep = "/")
crashes = as.Node(tree_data)
print(crashes)
The result is nicely organized, but I'm not sure how to add counts, or get it into a visual format like above.
levelName
1 crashes
2 ¦--urban
3 ¦ ¦--daylight
4 ¦ ¦ ¦--Senior
5 ¦ ¦ °--Adult
6 ¦ °--dark
7 ¦ °--Adult
8 °--rural
9 ¦--dark
10 ¦ ¦--Adult
11 ¦ °--Senior
12 °--daylight
13 °--Adult
Can someone advise on next steps? Or if there is a better package, I'm open to it. I also tried diagrammeR and igraph but they did not seem like solutions that I'd be able to easily apply to different datasets. I'll need this to be something easily repeatable.

