plot_correlation: Plot a correlation matrix of numerical variables

In konradsemsch/aider: Perform everyday analytical and data science tasks more efficiently

Description

This function creates a nicely formatted, standardised correlation matrix of numerical variables. Long variables names should be shortened before for easier interpretation.

Usage

plot_correlation(df, method = "spearman", order = "alphabet",
  label_size = 0.7, number_size = 0.9)

Arguments

df	A data frame
method	A character string indicating which correlation coefficient (or covariance) is to be computed. One of "spearman" (default), "pearson" or "kendall": can be abbreviated
order	Ordering method of the correlation matrix. Recommended options are: "alphabet" (default) and "hclust"
label_size	Size of the text label. Defaults to 0.7
number_size	Size of the correlation number. Defaults to 0.9

Examples

recipes::credit_data %>%
    plot_correlation()

konradsemsch/aider documentation built on May 22, 2019, 2:40 p.m.