# R Is Not So Hard! A Tutorial, Part 14: Pie Charts

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by David Lillis, Ph.D.

In Part 14, let’s see how to create pie charts in R. Let’s create a simple pie chart using the pie() command. As always, we set up a vector of numbers and then we plot them.

`B <- c(2, 4, 5, 7, 12, 14, 16)`

Create a simple pie chart.

`pie(B)` Now let’s create a pie chart with a heading, using nice colours, and define our own labels using R’s rainbow palette. We control the number of colours using length(B).

`B <- c(2, 4, 5, 7, 12, 14, 16)`
`pie(B, main="My Piechart", col=rainbow(length(B)),`
`labels=c("Mon","Tue","Wed","Thu","Fri","Sat","Sun"))` Here is a more complex example, using percentages and a legend. We create a vector of data, one for each day of the week

`B <- c(5, 3, 1, 8, 9, 4, 6)`

Set up black, grey and white for clear printing.

`cols <- c("grey90","grey50","black","grey30","white","grey70","grey50")`

Calculate the percentage for each day, using one decimal place.

`percentlabels<- round(100*B/sum(B), 1)`

Add a ‘%’ sign to each percentage value using the paste command.

`pielabels<- paste(percentlabels, "%", sep="")`

What does the paste command do?

`pie(B, main="My Best Piechart", col=cols, labels=pielabels, cex=0.8)`

Create a legend at the right.

`legend("topright", c("Mon","Tue","Wed","Thu","Fri","Sat","Sun"), cex=0.8, fill=cols)` OK. Now let’s create a pie chart from a data frame and include sample sizes. First create a table of counts of cylinder numbers from the mtcars data set.

`cyltable<- table(mtcars\$cyl)`
`cyltable`
`4 6 8`
`11 7 14`

We have eleven cars with four cylinders, seven cars with six cylinders, and fourteen cars with eight cylinders.

Now we create labels.

`labs<- paste("(",names(cyltable),")", "\n", cyltable, sep="")`

Now we plot.

```pie(cyltable, labels = labs, col = c("red", "yellow", "blue"), main="PIE CHART OF CYLINDER NUMBERS\n with sample sizes")``` That wasn’t so hard! In Part 15 we will look at further plotting techniques in R.

About the Author: David Lillis has taught R to many researchers and statisticians. His company, Sigma Statistics and Research Limited, provides both on-line instruction and face-to-face workshops on R, and coding services in R. David holds a doctorate in applied statistics.

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