How to customize your treemap built with
R
? Learn how to control borders, labels, and more.
Several examples with reproducible code provided.
#Labels ***
This page aims to explain how to customize R treemaps. Make sure you already understood how to build a basic treemap with R.
The first step is to control label appearance. All the options are explained in the code below. Note that you can apply a different feature to each level of the treemap, for example using white for group labels, and orange for subgroup labels.
# library
library(treemap)
# Create data
group <- c(rep("group-1",4),rep("group-2",2),rep("group-3",3))
subgroup <- paste("subgroup" , c(1,2,3,4,1,2,1,2,3), sep="-")
value <- c(13,5,22,12,11,7,3,1,23)
data <- data.frame(group,subgroup,value)
# Custom labels:
treemap(data, index=c("group","subgroup"), vSize="value", type="index",
fontsize.labels=c(15,12), # size of labels. Give the size per level of aggregation: size for group, size for subgroup, sub-subgroups...
fontcolor.labels=c("white","orange"), # Color of labels
fontface.labels=c(2,1), # Font of labels: 1,2,3,4 for normal, bold, italic, bold-italic...
bg.labels=c("transparent"), # Background color of labels
align.labels=list(
c("center", "center"),
c("right", "bottom")
), # Where to place labels in the rectangle?
overlap.labels=0.5, # number between 0 and 1 that determines the tolerance of the overlap between labels. 0 means that labels of lower levels are not printed if higher level labels overlap, 1 means that labels are always printed. In-between values, for instance the default value .5, means that lower level labels are printed if other labels do not overlap with more than .5 times their area size.
inflate.labels=F, # If true, labels are bigger when rectangle is bigger.
)
#Borders ***
You can control the border:
border.col
border.lwds
Remember that you can still provide a vector to each option: it gives the value for groups, subgroups and so on.
# Custom borders:
treemap(data, index=c("group","subgroup"), vSize="value", type="index",
border.col=c("black","white"), # Color of borders of groups, of subgroups, of subsubgroups ....
border.lwds=c(7,2) # Width of colors
)
#General features ***
A few other arguments for more general customization. The
palette
arguments accepts any palette from
RColorBrewer
.
# General features:
treemap(data, index=c("group","subgroup"), vSize="value",
type="index", # How you color the treemap. type help(treemap) for more info
palette = "Set1", # Select your color palette from the RColorBrewer presets or make your own.
title="My Treemap", # Customize your title
fontsize.title=12, # Size of the title
)