gg_quantiles {ggcleveland} | R Documentation |
Quantile-Quantile plots
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)
[Package ggcleveland version 0.1.0 Index]