Column and row bar plots
Plot column or row percentage using bar plots.
ggally_colbar( data, mapping, label_format = scales::label_percent(accuracy = 0.1), ..., remove_background = FALSE, remove_percentage_axis = FALSE, reverse_fill_levels = FALSE, geom_bar_args = NULL ) ggally_rowbar( data, mapping, label_format = scales::label_percent(accuracy = 0.1), ..., remove_background = FALSE, remove_percentage_axis = FALSE, reverse_fill_levels = TRUE, geom_bar_args = NULL )
data |
data set using |
mapping |
aesthetics being used |
label_format |
formatter function for displaying proportions, not taken into account if a label aesthetic is provided in |
... |
other arguments passed to |
remove_background |
should the |
remove_percentage_axis |
should percentage axis be removed? Removes the y-axis for |
reverse_fill_levels |
should the levels of the fill variable be reversed? |
geom_bar_args |
other arguments passed to |
Joseph Larmarange
# Small function to display plots only if it's interactive p_ <- GGally::print_if_interactive data(tips, package = "reshape") p_(ggally_colbar(tips, mapping = aes(x = smoker, y = sex))) p_(ggally_rowbar(tips, mapping = aes(x = smoker, y = sex))) # change labels' size p_(ggally_colbar(tips, mapping = aes(x = smoker, y = sex), size = 8)) # change labels' colour and use bold p_(ggally_colbar(tips, mapping = aes(x = smoker, y = sex), colour = "white", fontface = "bold")) # display number of observations instead of proportions p_(ggally_colbar(tips, mapping = aes(x = smoker, y = sex, label = after_stat(count)))) # custom bar width p_(ggally_colbar(tips, mapping = aes(x = smoker, y = sex), geom_bar_args = list(width = .5))) # change format of labels p_(ggally_colbar(tips, mapping = aes(x = smoker, y = sex), label_format = scales::label_percent(accuracy = .01, decimal.mark = ","))) p_(ggduo( data = as.data.frame(Titanic), mapping = aes(weight = Freq), columnsX = "Survived", columnsY = c("Sex", "Class", "Age"), types = list(discrete = "rowbar"), legend = 1 ))
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