DataExplorer (version 0.8.0)

plot_qq: 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

# NOT RUN {
plot_qq(iris)
plot_qq(iris, by = "Sepal.Width")
plot_qq(iris, by = "Species", nrow = 2L, ncol = 2L)

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