The gf_facet_grid() function will create separate plots for each group of a categorical variable. It can be chained onto plots such as gf_histogram(), gf_jitter(), and gf_bar().
Example 1:
# Density histogram of Thumb faceted by Sex
gf_dhistogram( ~ Thumb , data = Fingers ) %>%
gf_facet_grid( Sex ~ . )
Example of output from running the code above:
Example 2:
# Bar plot of RaceEthnic faceted by Sex
gf_bar(~RaceEthnic, data = Fingers)%>%
gf_facet_grid( Sex ~ . )
Example of output from running the code above:
Example 3:
# Jitter plot of Thumb by Height faceted by Sex
gf_jitter(Thumb ~ Height , data = Fingers ) %>%
gf_facet_grid( Sex ~ . )
Example of output from running the code above:
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gf_bar()
The gf_bar() function creates a bar graph. It can be used to visualize the distribution of a categorical variable by counting the number of observations for each group of the category. Bar graphs can also be used with the gf_facet_grid() function. ...
gf_density()
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gf_lm()
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gf_labs()
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