I have a data frame:
x <- data.frame(id=letters[1:3],val0=1:3,val1=4:6,val2=7:9)
id val0 val1 val2
1 a 1 4 7
2 b 2 5 8
3 c 3 6 9
I want to plot a stacked bar plot that shows the percentage of each columns. So, each bar represents one row and and each bar is of length but of three different colors each color representing percentage of val0, val1 and val2.
I tried looking for it, I am getting only ways to plot stacked graph but not stacked proportional graph.
Thanks.
For ggplot2
and geom_bar
For example
library(reshape2)
library(plyr)
# long format with column of proportions within each id
xlong <- ddply(melt(x, id.vars = 'id'), .(id), mutate, prop = value / sum(value))
ggplot(xlong, aes(x = id, y = prop, fill = variable)) + geom_bar(stat = 'identity')
# note position = 'fill' would work with the value column
ggplot(xlong, aes(x = id, y = value, fill = variable)) +
geom_bar(stat = 'identity', position = 'fill', aes(fill = variable))
A table object can be plotted as a mosaic plot. using plot
. Your x
is (almost) a table object
# get the numeric columns as a matrix
xt <- as.matrix(x[,2:4])
# set the rownames to be the first column of x
rownames(xt) <- x[[1]]
# set the class to be a table so plot will call plot.table
class(xt) <- 'table'
plot(xt)
you could also use mosaicplot
directly
mosaicplot(x[,2:4], main = 'Proportions')