plot_qq: Plot QQ plot

In DataExplorer: Automate Data Exploration and Treatment

Plot QQ plot

Description

Plot quantile-quantile for each continuous feature

Usage

plot_qq(
  data,
  by = NULL,
  sampled_rows = nrow(data),
  geom_qq_args = list(),
  geom_qq_line_args = list(),
  title = NULL,
  ggtheme = theme_gray(),
  theme_config = list(),
  nrow = 3L,
  ncol = 3L,
  parallel = FALSE
)

Arguments

data	input data
by	feature name to be broken down by. If selecting a continuous feature, it will be grouped by 5 equal ranges, otherwise, all existing categories for a discrete feature. Default is NULL.
sampled_rows	number of rows to sample if data has too many rows. Default is all rows, which means do not sample.
geom_qq_args	a list of other arguments to geom_qq
geom_qq_line_args	a list of other arguments to geom_qq_line
title	plot title
ggtheme	complete ggplot2 themes. Default is theme_gray.
theme_config	a list of configurations to be passed to theme
nrow	number of rows per page. Default is 3.
ncol	number of columns per page. Default is 3.
parallel	enable parallel? Default is FALSE.

Value

invisibly return the named list of ggplot objects

Examples

plot_qq(iris)
plot_qq(iris, by = "Species", ncol = 2L)

plot_qq(
  data = airquality,
  geom_qq_args = list(na.rm = TRUE),
  geom_qq_line_args = list(na.rm = TRUE)
)

DataExplorer documentation built on May 29, 2024, 12:19 p.m.