plot_scatterplot: Create scatterplot for all features

In DataExplorer: Automate Data Exploration and Treatment

Create scatterplot for all features

Description

This function creates scatterplot for all features fixing on a selected feature.

Usage

plot_scatterplot(
  data,
  by,
  sampled_rows = nrow(data),
  geom_point_args = list(),
  geom_jitter_args = list(),
  scale_x = NULL,
  scale_y = NULL,
  title = NULL,
  ggtheme = theme_gray(),
  theme_config = list(),
  nrow = 3L,
  ncol = 3L,
  parallel = FALSE
)

Arguments

data	input data
by	feature name to be fixed at
sampled_rows	number of rows to sample if data has too many rows. Default is all rows, which means do not sample.
geom_point_args	a list of other arguments to geom_point
geom_jitter_args	a list of other arguments to geom_jitter. If empty, geom_jitter will not be added.
scale_x	scale of original x axis (before coord_flip). See scale_x_continuous for all options. Default is NULL.
scale_y	scale of original y axis (before coord_flip). See scale_y_continuous for all options. Default is NULL.
title	plot title
ggtheme	complete ggplot2 themes. The default is theme_gray.
theme_config	a list of configurations to be passed to theme.
nrow	number of rows per page
ncol	number of columns per page
parallel	enable parallel? Default is FALSE.

Value

invisibly return the named list of ggplot objects

See Also

geom_point

Examples

plot_scatterplot(iris, by = "Species")

# Plot skewed data on log scale
set.seed(1)
skew <- data.frame(replicate(5L, rbeta(1000, 1, 5000)))
plot_scatterplot(skew, by = "X5", ncol = 2L)
plot_scatterplot(skew, by = "X5", scale_x = "log10",
scale_y = "log10", ncol = 2L)

# Plot with `geom_jitter`
plot_scatterplot(iris, by = "Species",
geom_jitter_args = list(width = NULL)) # Turn on with default settings
plot_scatterplot(iris, by = "Species",
geom_jitter_args = list(width = 0.1, height = 0.1))

## Not run: 
# Customize themes
library(ggplot2)
plot_scatterplot(
  data = mpg,
  by = "hwy",
  geom_point_args = list(size = 1L),
  theme_config = list("axis.text.x" = element_text(angle = 90)),
  ncol = 4L
)

## End(Not run)

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