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.
Creating a DataFrame
Here we can use any in-built datasets in R (the list of datasets can be viewed using data( ) command) or even create one. Let’s create a data frame and visualize it.
Plotting Grouped Boxplots
Here we are going to plot boxplots using geom_boxplot() methods.
Syntax of geom_boxplot(): geom_boxplot(mapping = NULL, data = NULL, outlier.shape = 19, na.rm = FALSE … )
- mapping: Set of aesthetic mappings
- data: data to be displayed in this layer
- outlier.shape: Displaying the outliers, NA – hides the outliers
- na.rm: dealing with missing values, TRUE – removes any missing values in data
Plotting a Grouped Boxplot using the dataframe created
Using ggplot2 let’s plot a grouped box plot using the data frame created. Let’s visualize a boxplot between score and game, filled by level. Here we can compare each level with respect to games.
Plotting another boxplot using the dataframe created
Let’s visualize another boxplot between game and score, filled by level. This is the same as the above plot but with a changed axis which gives a clear comparison between each game with respect to the levels.
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”, … )
- 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.
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.
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