ggally_colbar {GGally}

Column and row bar plots

Description

Plot column or row percentage using bar plots.

Usage

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
)

Arguments

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 mapping

...

other arguments passed to geom_text(...)

remove_background

should the panel.background be removed?

remove_percentage_axis

should percentage axis be removed? Removes the y-axis for ggally_colbar() and x-axis for ggally_rowbar()

reverse_fill_levels

should the levels of the fill variable be reversed?

geom_bar_args

other arguments passed to geom_bar(...)

Author(s)

Joseph Larmarange

Examples

# Small function to display plots only if it's interactive
p_ <- GGally::print_if_interactive

data(tips)
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
))