DataExplorer (version 0.8.3)

plot_scatterplot: 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
)

Value

invisibly return the named list of ggplot objects

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.

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))

if (FALSE) {
# 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
)
}