plot_correlation: Create correlation heatmap for discrete features

In DataExplorer: Automate Data Exploration and Treatment

Create correlation heatmap for discrete features

Description

This function creates a correlation heatmap for all discrete categories.

Usage

plot_correlation(
  data,
  type = c("all", "discrete", "continuous"),
  maxcat = 20L,
  cor_args = list(),
  geom_text_args = list(),
  title = NULL,
  ggtheme = theme_gray(),
  theme_config = list(legend.position = "bottom", axis.text.x = element_text(angle = 90))
)

Arguments

data	input data
type	column type to be included in correlation calculation. "all" for all columns, "discrete" for discrete features, "continuous" for continuous features.
maxcat	maximum categories allowed for each discrete feature. The default is 20.
cor_args	a list of other arguments to cor
geom_text_args	a list of other arguments to geom_text
title	plot title
ggtheme	complete ggplot2 themes. The default is theme_gray.
theme_config	a list of configurations to be passed to theme.

Details

For discrete features, the function first dummifies all categories, then calculates the correlation matrix (see cor) and plots it.

Value

invisibly return the ggplot object

Examples

plot_correlation(iris)
plot_correlation(iris, type = "c")
plot_correlation(airquality, cor_args = list("use" = "pairwise.complete.obs"))

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