Correlation matrix plot

Source: R/cor_plot.R

Create a correlation matrix for all quantitative variables in a data frame.

cor_plot(
  data,
  method = c("pearson", "kendall", "spearman"),
  sort = FALSE,
  axis_text_size = 12,
  number_text_size = 3,
  legend = FALSE
)

Arguments

data

data frame
method

a character string indicating which correlation coefficient is to be computed. One of "pearson" (default), "kendall", or "spearman".
sort

logical. If TRUE, reorder variables to place variables with similar correlation patterns together.
axis_text_size

size for axis labels (default=12).
number_text_size

size for correlation coefficient labels (default=3).
legend

logical, if TRUE the legend is displayed. (default=FALSE)

Value

a ggplot graph

Details

The cor_plot function will only select quantitative variables from a data frame. Categorical variables are ignored. The correlation matrix is presented as a lower triangle matrix. Missing values are deleted in listwise fashion.

Note

This function is a wrapper for the ggcorrplot function.

Examples

cor_plot(cars74)

cor_plot(cars74, sort=TRUE)

cor_plot(coffee, axis_text_size=8,
         number_text_size=2, sort=TRUE,
         legend=TRUE)