Quantile-Quantile plot.
ggqqplot(
data,
x,
combine = FALSE,
merge = FALSE,
color = "black",
palette = NULL,
size = NULL,
shape = NULL,
add = c("qqline", "none"),
add.params = list(linetype = "solid"),
conf.int = TRUE,
conf.int.level = 0.95,
title = NULL,
xlab = NULL,
ylab = NULL,
facet.by = NULL,
panel.labs = NULL,
short.panel.labs = TRUE,
ggtheme = theme_pubr(),
...
)a data frame
variable to be drawn.
logical value. Default is FALSE. Used only when y is a vector containing multiple variables to plot. If TRUE, create a multi-panel plot by combining the plot of y variables.
logical or character value. Default is FALSE. Used only when y is a vector containing multiple variables to plot. If TRUE, merge multiple y variables in the same plotting area. Allowed values include also "asis" (TRUE) and "flip". If merge = "flip", then y variables are used as x tick labels and the x variable is used as grouping variable.
point color.
the color palette to be used for coloring or filling by groups. Allowed values include "grey" for grey color palettes; brewer palettes e.g. "RdBu", "Blues", ...; or custom color palette e.g. c("blue", "red"); and scientific journal palettes from ggsci R package, e.g.: "npg", "aaas", "lancet", "jco", "ucscgb", "uchicago", "simpsons" and "rickandmorty".
point size.
point shape.
character vector. Allowed values are one of "none" and "qqline" (for adding qqline).
parameters (color, size, linetype) for the argument 'add'; e.g.: add.params = list(color = "red").
logical value. If TRUE, confidence interval is added.
the confidence level. Default value is 0.95.
plot main title.
character vector specifying x axis labels. Use xlab = FALSE to hide xlab.
character vector specifying y axis labels. Use ylab = FALSE to hide ylab.
character vector, of length 1 or 2, specifying grouping variables for faceting the plot into multiple panels. Should be in the data.
a list of one or two character vectors to modify facet panel labels. For example, panel.labs = list(sex = c("Male", "Female")) specifies the labels for the "sex" variable. For two grouping variables, you can use for example panel.labs = list(sex = c("Male", "Female"), rx = c("Obs", "Lev", "Lev2") ).
logical value. Default is TRUE. If TRUE, create short labels for panels by omitting variable names; in other words panels will be labelled only by variable grouping levels.
function, ggplot2 theme name. Default value is theme_pubr(). Allowed values include ggplot2 official themes: theme_gray(), theme_bw(), theme_minimal(), theme_classic(), theme_void(), ....
other arguments to be passed to ggpar.
The plot can be easily customized using the function ggpar(). Read ?ggpar for changing:
main title and axis labels: main, xlab, ylab
axis limits: xlim, ylim (e.g.: ylim = c(0, 30))
axis scales: xscale, yscale (e.g.: yscale = "log2")
color palettes: palette = "Dark2" or palette = c("gray", "blue", "red")
legend title, labels and position: legend = "right"
plot orientation : orientation = c("vertical", "horizontal", "reverse")
ggpar
# Create some data format
set.seed(1234)
wdata = data.frame(
sex = factor(rep(c("F", "M"), each=200)),
weight = c(rnorm(200, 55), rnorm(200, 58)))
head(wdata, 4)
# Basic QQ plot
ggqqplot(wdata, x = "weight")
# Change colors and shape by groups ("sex")
# Use custom palette
ggqqplot(wdata, x = "weight",
color = "sex", palette = c("#00AFBB", "#E7B800"))
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