gg_quantiles: Quantile-Quantile plots

In ggcleveland: Implementation of Plots from Cleveland's Visualizing Data Book

Description

Returns a quantile-quantile plot to compare any given number of groups

Usage

gg_quantiles(
  df,
  vble,
  group,
  combined = FALSE,
  xlabel = NULL,
  ylabel = NULL,
  ...
)

Arguments

df	dataframe
vble	numeric variable to be analized
group	character or factor grouping variable
combined	logical, defaults to FALSE, producing a matrix of pairwise QQ plots. If TRUE, it produces a QQ plot of quantiles of each group versus quantiles calculated by the combination of all groups. This is useful to study residuals from a fit.
xlabel	label for x-axis
ylabel	label for y-axis
...	parameters to be passed to geom_point(), such as size, color, shape.

Value

a ggplot

Examples

library(ggplot2)
data(futbol)

# Multiple groups
gg_quantiles(futbol, dist, longp)
gg_quantiles(futbol, dist, longp, size = 0.4, color = "red", shape = 3) +
  theme(panel.spacing = unit(2, "lines")) +
  theme_bw()

# Only 2 groups
futbol2 <- dplyr::filter(futbol, longp %in% c("< 0.81 m", "0.81 a 0.90 m"))
gg_quantiles(futbol2, dist, longp)

# Each groups vs quantiles from all groups combined
gg_quantiles(futbol, dist, longp, combined = TRUE)

ggcleveland documentation built on Aug. 16, 2021, 9:07 a.m.