How can one plot the percentages as opposed to raw frequencies using the hist() function in R?
Simply using the freq=FALSE
argument does not give a histogram with percentages, it normalizes the histogram so the total area equals 1.
To get a histogram of percentages of some data set, say x, do:
h = hist(x) # or hist(x,plot=FALSE) to avoid the plot of the histogram h$density = h$counts/sum(h$counts)*100 plot(h,freq=FALSE)
Basically what you are doing is creating a histogram object, changing the density property to be percentages, and then re-plotting.
If you want explicitly to list every single value of x
on the x-axis (i.e. to plot the percentages of a integer variable such as counts), then the following command is a more convenient alternative:
# Make up some data set.seed(1) x <- rgeom(100, 0.2) # One barplot command to get histogram of x barplot(height = table(factor(x, levels=min(x):max(x)))/length(x), ylab = "proportion", xlab = "values", main = "histogram of x (proportions)")
# Comparison to hist() function h = hist(x, breaks=(min(x)-1):(max(x))+0.5) h$density = h$counts/sum(h$counts)*100 plot(h,freq=FALSE, main = "histogram of x (proportions)")
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