I have a treemap plot (shown below). The only change that I want to have is to change the color of subgroup (YEAR in the plot) to different colors, not all blue. Is this possible at all?
Sample data frame
PL <- c(rep("PL1", 4), repl("PL2", 4), rep("PL3", 4), rep("PL4", 4))
CNT <- sample(seq(1:50), 16)
YEAR <- rep(c("2015", "2016", "2017", "2018"), 4)
df <- data.frame(PL, YEAR, CNT)
Plot
PL <- c(rep("PL1", 4), repl("PL2", 4), rep("PL3", 4), rep("PL4", 4))
CNT <- sample(seq(1:50), 16)
YEAR <- rep(c("2015", "2016", "2017", "2018"), 4)
df <- data.frame(PL, YEAR, CNT)
# plot
library(ggplot2)
library(treemapify)
treeMapPlot <- ggplot(df, aes(area = CNT,
fill = CNT,
label=PL,
subgroup=YEAR)) +
geom_treemap() +
geom_treemap_subgroup_border(colour = "white") +
geom_treemap_text(fontface = "italic",
colour = "white",
place = "centre",
grow = F,
reflow = T) +
geom_treemap_subgroup_text(place = "centre",
grow = T,
alpha = 0.5,
colour = "#FAFAFA",
min.size = 0)
treeMapPlot
If I change the fill in aes I can get this, but I lose the gradient. I need to keep these colors, but show the tiles with gradient color, meaning small CNT lighter, larger CNT darker
treeMapPlot <- ggplot(df, aes(area = CNT,
fill = YEAR,
label = PL,
subgroup = YEAR))
It's not the most beautiful solution, but mapping count to alpha simulates a light-to-dark gradient for each color. Add aes(alpha = CNT) inside geom_treemap, and scale alpha however you want.
library(ggplot2)
library(treemapify)
PL <- c(rep("PL1",4),rep("PL2",4),rep("PL3",4),rep("PL4",4))
CNT <- sample(seq(1:50),16)
YEAR <- rep(c("2015","2016","2017","2018"),4)
df <- data.frame(PL,YEAR,CNT)
ggplot(df, aes(area = CNT, fill = YEAR, label=PL, subgroup=YEAR)) +
# change this line
geom_treemap(aes(alpha = CNT)) +
geom_treemap_subgroup_border(colour="white") +
geom_treemap_text(fontface = "italic",
colour = "white",
place = "centre",
grow = F,
reflow=T) +
geom_treemap_subgroup_text(place = "centre",
grow = T,
alpha = 0.5,
colour = "#FAFAFA",
min.size = 0) +
scale_alpha_continuous(range = c(0.2, 1))
Created on 2018-05-03 by the reprex package (v0.2.0).
Edit to add: Based on this post on hacking faux-gradients by putting an alpha-scaled layer on top of a layer with a darker fill. Here I've used two geom_treemaps, one with fill = "black", and one with the alpha scaling. Still leaves something to be desired.
ggplot(df, aes(area = CNT, fill = YEAR, label=PL, subgroup=YEAR)) +
geom_treemap(fill = "black") +
geom_treemap(aes(alpha = CNT)) +
geom_treemap_subgroup_border(colour="white") +
geom_treemap_text(fontface = "italic",
colour = "white",
place = "centre",
grow = F,
reflow=T) +
geom_treemap_subgroup_text(place = "centre",
grow = T,
alpha = 0.5,
colour = "#FAFAFA",
min.size = 0) +
scale_alpha_continuous(range = c(0.4, 1))
Created on 2018-05-03 by the reprex package (v0.2.0).
One option is to calculate the colors separately for each cell and then just plot them directly. This doesn't give you a legend, but arguably a legend isn't that useful anyways. (You'd need 4 separate legends, and those could be made and added to the plot if needed.)
library(ggplot2)
library(treemapify)
set.seed(342)
PL <- c(rep("PL1", 4), rep("PL2", 4), rep("PL3", 4), rep("PL4", 4))
CNT <- sample(seq(1:50), 16)
YEAR <- rep(c("2015", "2016", "2017", "2018"), 4)
df <- data.frame(PL, YEAR, CNT)
# code to add colors to data frame follows
# first the additional packages needed
library(dplyr)
library(colorspace) # install via: install.packages("colorspace", repos = "http://R-Forge.R-project.org")
library(scales)
# I'll use 4 palettes from the colorspace package, one for each year
palette <- rep(c("Teal", "Red-Yellow", "Greens", "Purples"), 4)
# We add the palette names and then calculate the colors for each
# data point. Two notes:
# - we scale the colors to the maximum CNT in each year
# - we're calculating 6 colors but use only 5 to make the gradient;
# this removes the lightest color
df2 <- mutate(df,
palette = palette) %>%
group_by(palette) %>%
mutate(
max_CNT = max(CNT),
color = gradient_n_pal(sequential_hcl(6, palette = palette)[1:5])(CNT/max_CNT))
ggplot(df2, aes(area = CNT, fill = color, label=PL, subgroup=YEAR)) +
geom_treemap() +
geom_treemap_subgroup_border(colour="white") +
geom_treemap_text(fontface = "italic",
colour = "white",
place = "centre",
grow = F,
reflow=T) +
geom_treemap_subgroup_text(place = "centre",
grow = T,
alpha = 0.5,
colour = "#FAFAFA",
min.size = 0) +
scale_fill_identity()
It's also possible to generate color scales dynamically if you don't know ahead of time how many cases there will be:
library(ggplot2)
library(treemapify)
set.seed(341)
PL <- c(rep("PL1", 6), rep("PL2", 6), rep("PL3", 6), rep("PL4", 6))
CNT <- sample(seq(1:50), 24)
YEAR <- rep(c("2013", "2014", "2015", "2016", "2017", "2018"), 4)
df <- data.frame(PL, YEAR, CNT)
# code to add colors to data frame follows
# first the additional packages needed
library(dplyr)
library(colorspace) # install via: install.packages("colorspace", repos = "http://R-Forge.R-project.org")
library(scales)
# number of palettes needed
n <- length(unique(YEAR))
# now calculate the colors for each data point
df2 <- df %>%
mutate(index = as.numeric(factor(YEAR))- 1) %>%
group_by(index) %>%
mutate(
max_CNT = max(CNT),
color = gradient_n_pal(
sequential_hcl(
6,
h = 360 * index[1]/n,
c = c(45, 20),
l = c(30, 80),
power = .5)
)(CNT/max_CNT)
)
ggplot(df2, aes(area = CNT, fill = color, label=PL, subgroup=YEAR)) +
geom_treemap() +
geom_treemap_subgroup_border(colour="white") +
geom_treemap_text(fontface = "italic",
colour = "white",
place = "centre",
grow = F,
reflow=T) +
geom_treemap_subgroup_text(place = "centre",
grow = T,
alpha = 0.5,
colour = "#FAFAFA",
min.size = 0) +
scale_fill_identity()
Finally, you can manually define the hues of the color scales:
library(ggplot2)
library(treemapify)
set.seed(341)
PL <- c(rep("PL1", 6), rep("PL2", 6), rep("PL3", 6), rep("PL4", 6))
CNT <- sample(seq(1:50), 24)
YEAR <- rep(c("2013", "2014", "2015", "2016", "2017", "2018"), 4)
df <- data.frame(PL, YEAR, CNT)
# code to add colors to data frame follows
# first the additional packages needed
library(dplyr)
library(colorspace) # install via: install.packages("colorspace", repos = "http://R-Forge.R-project.org")
library(scales)
# each color scale is defined by a hue, a number between 0 and 360
hues <- c(300, 50, 250, 100, 200, 150)
# now calculate the colors for each data point
df2 <- df %>%
mutate(index = as.numeric(factor(YEAR))) %>%
group_by(index) %>%
mutate(
max_CNT = max(CNT),
color = gradient_n_pal(
sequential_hcl(
6,
h = hues[index[1]],
c = c(45, 20),
l = c(30, 80),
power = .5)
)(CNT/max_CNT)
)
ggplot(df2, aes(area = CNT, fill = color, label=PL, subgroup=YEAR)) +
geom_treemap() +
geom_treemap_subgroup_border(colour="white") +
geom_treemap_text(fontface = "italic",
colour = "white",
place = "centre",
grow = F,
reflow=T) +
geom_treemap_subgroup_text(place = "centre",
grow = T,
alpha = 0.5,
colour = "#FAFAFA",
min.size = 0) +
scale_fill_identity()
来源：https://stackoverflow.com/questions/50163072/different-colors-with-gradient-for-subgroups-on-a-treemap-ggplot2-r