Logo Questions Linux Laravel Mysql Ubuntu Git Menu
 

How to create grouped barplot with R

Tags:

r

I am trying to create grouped bar plot with R. I tried the following code to create a simple barplot.

x=c(99,9,104,67,86,53,83,29,127,31,179,86,74,80,100,150,68,18,81,47)
names(x)= c("A","C","E","D","G","F","I","H","K","M","L","N","Q","P","S","R","T","W","V","Y") 
    barplot(x)
y= c(105673,18140,92426,76776,93974,53470,75155,30700,77847,28863,124602,55703,
50160,60685,78693,69581,70846,18285,92789,45728)
names(y)= c("A","C","E","D","G","F","I","H","K","M","L","N","Q","P","S","R","T","W","V","Y") 
barplot(y)

I have to combine the above two bar plots. I can't figure out how to combine them.

I tried with gplot.

require(ggplot2)
data(mydata)
head(mydata)
ggplot(mydata, aes(aminoacid, fill=cut)) + geom_bar(position="dodge") +
opts(title="aminoacid analysis ")

Error in data.frame(x = c(2L, 3L, 5L, 4L, 7L, 6L, 9L, 8L, 10L, 12L, 11L,  :  

arguments imply differing number of rows: 21, 228

I tried the following code also.

counts <- table(mydata)
barplot(counts, main="amino acid analysis",`xlab="aminoacid codes", col=c("darkblue","red")`legend = rownames(counts), beside=TRUE))

Error in barplot.default(counts, main = "aminoacid analysis",  :
'height' must be a vector or a matrix   

How can I solve these errors?

Please help me to create a grouped barplot with R.

like image 245
saraswathi Avatar asked Dec 06 '22 18:12

saraswathi


1 Answers

Welcome to SO.

You might want to look at ggplot2 , on Hadley's page you will find detailed examples how to do it. Here's an example:

# if you haven't installed ggplot, if yes leave this line out
install.packages("ggplot2") # choose your favorite mirror

require(ggplot2)
data(diamonds)
# check the dataset
head(diamonds)
# plot it 
ggplot(diamonds, aes(clarity, fill=cut)) + geom_bar(position="dodge") +
opts(title="Examplary Grouped Barplot")

enter image description here

What's nice about the ggplot2 package is that you can change the visualization of some parameter (aesthetic,aes) easily. For example you could look into facects or stacked barcharts instead of grouping them. Plus, it's well documented on Hadley's page.

For the sake of completeness, here's also a non ggplot2 example found @quickR

# Grouped Bar Plot
counts <- table(mtcars$vs, mtcars$gear)
barplot(counts, main="Car Distribution by Gears and VS",
xlab="Number of Gears", col=c("darkblue","red"),
 legend = rownames(counts), beside=TRUE)

enter image description here

like image 142
Matt Bannert Avatar answered Dec 09 '22 08:12

Matt Bannert