Create scatterplot for all features

Source: R/plot_scatterplot.r

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

plot_scatterplot(
  data,
  by,
  sampled_rows = nrow(data),
  geom_point_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
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)


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
)
}