Go through the dendrogram nodes and updates the values inside its nodePar
If the value has Inf then the value in edgePar will not be changed.
assign_values_to_nodes_nodePar(dend, value, nodePar = c("pch", "cex", "col",
"xpd", "bg"), warn = dendextend_options("warn"), ...)
a dendrogram object
a new value vector for the nodePar attribute. It should be the same length as the number of nodes in the tree. If not, it will recycle the value and issue a warning.
the value inside nodePar to adjust. This may contain components named pch, cex, col, xpd, and/or bg.
logical (default from dendextend_options("warn") is FALSE). Set if warning are to be issued, it is safer to keep this at TRUE, but for keeping the noise down, the default is FALSE.
not used
A dendrogram, after adjusting the nodePar attribute in all of its nodes,
# NOT RUN {
# }
# NOT RUN {
dend <- USArrests[1:5,] %>% dist %>% hclust("ave") %>% as.dendrogram
# reproduces "labels_colors<-"
# although it does force us to run through the tree twice,
# hence "labels_colors<-" is better...
plot(dend)
dend2 <- dend %>%
assign_values_to_nodes_nodePar(value = 19, nodePar = "pch") %>%
assign_values_to_nodes_nodePar(value = c(1,2), nodePar = "cex") %>%
assign_values_to_nodes_nodePar(value = c(2,1), nodePar = "col")
plot(dend2)
### Making sure this works for NA with character.
dend %>%
assign_values_to_nodes_nodePar(value = 19, nodePar = "pch") %>%
assign_values_to_nodes_nodePar(value = c("red", NA), nodePar = "col") -> dend2
plot(dend2)
# }
# NOT RUN {
# }
Run the code above in your browser using DataLab