Faceted Plots

Faceted plots are meant for use when you have a categorical variable. You can use the categorical variable to partition the data into different groups and the groups are then plotted in different panels called facets. Thus, you can use a facet grid to compare the distributions of two (or more) groups on the same variable. 

Example 1:

# Make a faceted histogram of Thumb by Sex in the Fingers data frame

gf_histogram(~Thumb, data = Fingers) %>%

    gf_facet_grid(Sex ~ .)

Example of output from running the code above:

Example 2:

# Make a faceted bar graph of RaceEthnic by Sex in the Fingers data frame

gf_bar(~RaceEthnic, data = Fingers) %>%

    gf_facet_grid(Sex ~ .)

Example of output from running the code above:

# You can switch the facet variable to the other side of the tilde (~) to change whether the facets are vertical or horizontal

gf_bar(~RaceEthnic, data = Fingers) %>%

    gf_facet_grid(. ~ Sex)

Example of output from running the code above:

Example 3:

# Make a faceted jitter plot of Thumb and Height by Sex in the Fingers data frame

gf_jitter(Thumb ~ Height, data = Fingers) %>%

    gf_facet_grid(Sex ~ .)

Example of output from running the code above:

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