rplot: Plot a correlation data frame.

In corrr: Correlations in R

Plot a correlation data frame.

Description

Plot a correlation data frame using ggplot2.

Usage

rplot(
  rdf,
  legend = TRUE,
  shape = 16,
  colours = c("indianred2", "white", "skyblue1"),
  print_cor = FALSE,
  colors,
  .order = c("default", "alphabet")
)

Arguments

rdf	Correlation data frame (see correlate) or object that can be coerced to one (see as_cordf).
legend	Boolean indicating whether a legend mapping the colors to the correlations should be displayed.
shape	geom_point aesthetic.
colours, colors	Vector of colors to use for n-color gradient.
print_cor	Boolean indicating whether the correlations should be printed over the shapes.
.order	Either "default", meaning x and y variables keep the same order as the columns in x, or "alphabet", meaning the variables are alphabetized.

Details

Each value in the correlation data frame is represented by one point/circle in the output plot. The size of each point corresponds to the absolute value of the correlation (via the size aesthetic). The color of each point corresponds to the signed value of the correlation (via the color aesthetic).

Value

Plots a correlation data frame

Examples

x <- correlate(mtcars)
rplot(x)

# Common use is following rearrange and shave
x <- rearrange(x, absolute = FALSE)
x <- shave(x)
rplot(x)
rplot(x, print_cor = TRUE)
rplot(x, shape = 20, colors = c("red", "green"), legend = TRUE)

corrr documentation built on Aug. 17, 2022, 1:05 a.m.