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How to create a bar plot with ggplot2 using stat_summary in R?
There are multiple ways to create a bar plot in R and one such way is using stat_summary of ggplot2 package. In this function, we need to supply a function for the y-axis and to create the bars we must use geom="bar". The main thing is to decide which function should be used for y-axis values.
Example
Consider the below data frame:
> x<-sample(c("Male","Female"),20,replace=TRUE) > y<-rpois(20,5) > df<-data.frame(x,y) > df
Output
x y 1 Female 3 2 Male 3 3 Female 7 4 Male 3 5 Female 8 6 Female 5 7 Male 11 8 Male 6 9 Male 5 10 Female 3 11 Female 2 12 Female 7 13 Male 6 14 Female 5 15 Male 3 16 Male 6 17 Female 9 18 Female 6 19 Female 8 20 Female 3
Loading ggplot2 package and creating bar plot using stat_summary:
Example
> library(ggplot2) > ggplot(df,aes(x,y))+stat_summary(fun="mean",geom="bar")
Output
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