R-Cookbook.com Delicious, statistical-computing recipes

Sometimes you have to cut your histogram at some value but you want to still inform the reader how many values you cut off. Here I simply add one additional histogram bar at the right hand side, ">30", to display the missing values.

data(USArrests, "VADeaths")
data <- USArrests$Rape
h <- hist(data, breaks=seq(0,3000,1), plot=F)

subset <- h$counts[seq(1,limit)]
rest <- sum(h$counts[seq(limit+1,length(h$counts))])
data <- c(subset, rest)

labels <- c(seq(1,limit,1),paste(">",toString(limit), seq=""))
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Sometimes it's useful to plot a density curve over a histogram to help identify the distribution, or demonstrate the deviation between sample distributions and proposed population distributions:

data <- rnorm(1000)
hist(data, freq=FALSE)
curve(dnorm, add=TRUE)

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This person wondered if it was possible to add a small boxplot in a histogram, like where the legend might be.

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