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 … )
Arguments:
- 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.
R
# plotting a grouped boxplot library(ggplot2) ggplot(data, aes(x = game, y = score, fill = level)) + geom_boxplot() |
Output:
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.
R
# another grouped boxplot ggplot(data, aes(x = level, y = score, fill = game)) + geom_boxplot() |
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.
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