Stack objects on top of each another and center them around 0

position_diverging() stacks bars on top of each other and center them around zero (the same number of categories are displayed on each side). position_likert() uses proportions instead of counts. This type of presentation is commonly used to display Likert-type scales.

Usage

position_likert(
  vjust = 1,
  reverse = FALSE,
  exclude_fill_values = NULL,
  cutoff = NULL
)

position_diverging(
  vjust = 1,
  reverse = FALSE,
  exclude_fill_values = NULL,
  cutoff = NULL
)

Arguments

vjust

Vertical adjustment for geoms that have a position (like points or lines), not a dimension (like bars or areas). Set to 0 to align with the bottom, 0.5 for the middle, and 1 (the default) for the top.

reverse

If TRUE, will reverse the default stacking order. This is useful if you're rotating both the plot and legend.

exclude_fill_values

Vector of values from the variable associated with the fill aesthetic that should not be displayed (but still taken into account for computing proportions)

cutoff

number of categories to be displayed negatively (i.e. on the left of the x axis or the bottom of the y axis), could be a decimal value: 2 to display negatively the two first categories, 2.5 to display negatively the two first categories and half of the third, 2.2 to display negatively the two first categories and a fifth of the third (see examples). By default (NULL), it will be equal to the number of categories divided by 2, i.e. it will be centered.

Details

It is recommended to use position_likert() with stat_prop() and its complete argument (see examples).

See also

See ggplot2::position_stack() and ggplot2::position_fill()

Examples

library(ggplot2)

ggplot(diamonds) +
  aes(y = clarity, fill = cut) +
  geom_bar(position = "fill") +
  scale_x_continuous(label = scales::label_percent()) +
  xlab("proportion")


ggplot(diamonds) +
  aes(y = clarity, fill = cut) +
  geom_bar(position = "likert") +
  scale_x_continuous(label = label_percent_abs()) +
  scale_fill_likert() +
  xlab("proportion")


ggplot(diamonds) +
  aes(y = clarity, fill = cut) +
  geom_bar(position = "stack") +
  scale_fill_likert(pal = scales::brewer_pal(palette = "PiYG"))


ggplot(diamonds) +
  aes(y = clarity, fill = cut) +
  geom_bar(position = "diverging") +
  scale_x_continuous(label = label_number_abs()) +
  scale_fill_likert()


# \donttest{
# Reverse order -------------------------------------------------------------

ggplot(diamonds) +
  aes(y = clarity, fill = cut) +
  geom_bar(position = position_likert(reverse = TRUE)) +
  scale_x_continuous(label = label_percent_abs()) +
  scale_fill_likert() +
  xlab("proportion")


# Custom center -------------------------------------------------------------

ggplot(diamonds) +
  aes(y = clarity, fill = cut) +
  geom_bar(position = position_likert(cutoff = 1)) +
  scale_x_continuous(label = label_percent_abs()) +
  scale_fill_likert(cutoff = 1) +
  xlab("proportion")


ggplot(diamonds) +
  aes(y = clarity, fill = cut) +
  geom_bar(position = position_likert(cutoff = 3.75)) +
  scale_x_continuous(label = label_percent_abs()) +
  scale_fill_likert(cutoff = 3.75) +
  xlab("proportion")


# Missing items -------------------------------------------------------------
# example with a level not being observed for a specific value of y
d <- diamonds
d <- d[!(d$cut == "Premium" & d$clarity == "I1"), ]
d <- d[!(d$cut %in% c("Fair", "Good") & d$clarity == "SI2"), ]

# by default, the two lowest bar are not properly centered
ggplot(d) +
  aes(y = clarity, fill = cut) +
  geom_bar(position = "likert") +
  scale_fill_likert()


# use stat_prop() with `complete = "fill"` to fix it
ggplot(d) +
  aes(y = clarity, fill = cut) +
  geom_bar(position = "likert", stat = "prop", complete = "fill") +
  scale_fill_likert()


# Add labels ----------------------------------------------------------------

custom_label <- function(x) {
  p <- scales::percent(x, accuracy = 1)
  p[x < .075] <- ""
  p
}

ggplot(diamonds) +
  aes(y = clarity, fill = cut) +
  geom_bar(position = "likert") +
  geom_text(
    aes(by = clarity, label = custom_label(after_stat(prop))),
    stat = "prop",
    position = position_likert(vjust = .5)
  ) +
  scale_x_continuous(label = label_percent_abs()) +
  scale_fill_likert() +
  xlab("proportion")


# Do not display specific fill values ---------------------------------------
# (but taken into account to compute proportions)

ggplot(diamonds) +
  aes(y = clarity, fill = cut) +
  geom_bar(position = position_likert(exclude_fill_values = "Very Good")) +
  scale_x_continuous(label = label_percent_abs()) +
  scale_fill_likert() +
  xlab("proportion")

# }