Launch RStudio as described here: Running RStudio and setting up your working directory
Prepare your data as described here: Best practices for preparing your data and save it in an external .txt tab or .csv files
Import your data into R as described here: Fast reading of data from txt|csv files into R: readr package.
Create some data
df <- data.frame( group = c("Male", "Female", "Child"), value = c(25, 25, 50) ) df
## group value ## 1 Male 25 ## 2 Female 25 ## 3 Child 50
Create basic pie charts: pie()
The function pie() can be used to draw a pie chart.
pie(x, labels = names(x), radius = 0.8)
- x: a vector of non-negative numerical quantities. The values in x are displayed as the areas of pie slices.
- labels: character strings giving names for the slices.
- radius: radius of the pie circle. If the character strings labeling the slices are long it may be necessary to use a smaller radius.
pie(df$value, labels = df$group, radius = 1)
# Change colors pie(df$value, labels = df$group, radius = 1, col = c("#999999", "#E69F00", "#56B4E9"))
Create 3D pie charts: plotix::pie3D()
Te function pie3D()[in plotrix package] can be used to draw a 3D pie chart.
Install plotrix package:
# 3D pie chart library("plotrix") pie3D(df$value, labels = df$group, radius = 1.5, col = c("#999999", "#E69F00", "#56B4E9"))
# Explode the pie chart pie3D(df$value, labels = df$group, radius = 1.5, col = c("#999999", "#E69F00", "#56B4E9"), explode = 0.1)
This analysis has been performed using R statistical software (ver. 3.2.4).
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