[PDF] GGPlot2 Essentials - Datanovia

How do you create a ggplot boxplot?

To plot a boxplot, you’ll call the ggplot function. Inside the function, you’ll have the data parameter, the x and y parameter (which are typically called inside the aes function). And finally you have the geom_boxplot function. Let’s talk about each of these. The data parameter enables us to specify the dataframe that we want to plot.

What are the advantages of using ggplot2 to create a grouped boxplot?

The faceting functions in ggplot2 offer a general solution to split up the data by one or more variables and make plots with subsets of data together. To create a grouped boxplot, we can use the facet_wrap () function.

How can I add the number of observations by group to a ggplot2 boxplot?

This example demonstrates how to annotate the number of observations per group as text labels to each box of a ggplot2 boxplot. To do this, we can apply the annotate function as shown below: By executing the previous R programming code we have managed to create Figure 2, i.e. a ggplot2 boxplot with sample sizes by group.

How do you make a grouped boxplot with jittered data points using ggplot2 in R?

There is one more way to make a grouped boxplot in the R language using the ggplot2 package. It is to use facet in ggplot. The faceting functions in ggplot2 offer a general solution to split up the data by one or more variables and make plots with subsets of data together. To create a grouped boxplot, we can use the facet_wrap () function.