Adding Jittered Data Points to the Grouped Boxplot
Here we are adding jitter data points into the grouped boxplot using geom_point() method.
Syntax of geom_point(): geom_point(mapping = NULL, data = NULL, position = “identity”, … )
Arguments:
- mapping – Set of aesthetic mappings
- data = dataset
- position – Position adjustment of points
Adding jittered data points using geom_point( ) function and position_jitterdodge( ) argument
Let’s add jittered data points on the boxplot to visualize the spread of the data with respect to each game.
R
# Adding jittered data points on the boxplot ggplot(data, aes(x = game, y = score, fill = level)) + geom_boxplot(outlier.shape = NA)+ geom_point(position = position_jitterdodge(), alpha=0.3) |
Output:
Plotting a Grouped Boxplot with jittered points with respect to performance in each game in each year
Let’s add jittered data points on the boxplot using geom_point( ) and facet_wrap( ) functions to compare the performance of scores in each game per year in different facets.
R
# jittered points on boxplots in 3 facets by year ggplot(data, aes(x = level, y = score, fill = game)) + geom_boxplot()+ geom_jitter(width = 0.1,alpha = 0.3) + facet_wrap(~year) |
Output:
How to Make Grouped Boxplot with Jittered Data Points in ggplot2 in R
In this article, we will see how to make use of ggplot2 package in R Programming Language to plot grouped boxplots with jittered data points.
Grouped Boxplots help us visualize two or more features/variables in a single plot using the grouping variable in ggplot2. The jittered points are data points that belong to another variable and are plotted on top of the grouped boxplot for a better comparison of the spread of data points of the considered variables.