autoplot.cor_df: Create a correlation matrix from a cor_df object

In tidymodels/corrr: Correlations in R

Create a correlation matrix from a cor_df object

Description

This method provides a good first visualization of the correlation matrix.

Usage

## S3 method for class 'cor_df'
autoplot(
  object,
  ...,
  method = "PCA",
  triangular = c("upper", "lower", "full"),
  barheight = 20,
  low = "#B2182B",
  mid = "#F1F1F1",
  high = "#2166AC"
)

Arguments

object	A cor_df object.
...	this argument is ignored.
method	String specifying the arrangement (clustering) method. Clustering is achieved via seriate, which can be consulted for a complete list of clustering methods. Default = "PCA".
triangular	Which part of the correlation matrix should be shown? Must be one of "upper", "lower", or "full", and defaults to "upper".
barheight	A single, non-negative number. Is passed to ggplot2::guide_colourbar() to determine the height of the guide colorbar. Defaults to 20, is likely to need manual adjustments.
low	A single color. Is passed to ggplot2::scale_fill_gradient2(). The color of negative correlation. Defaults to "#B2182B".
mid	A single color. Is passed to ggplot2::scale_fill_gradient2(). The color of no correlation. Defaults to "#F1F1F1".
high	A single color. Is passed to ggplot2::scale_fill_gradient2(). The color of the positive correlation. Defaults to "#2166AC".

Value

A ggplot object

Examples

x <- correlate(mtcars)

autoplot(x)

autoplot(x, triangular = "lower")

autoplot(x, triangular = "full")

tidymodels/corrr documentation built on Jan. 27, 2024, 8:41 a.m.