ggcorr: Generate the ggplot for a correlation matrix

In JianhuaHuang/streamit: Streamline Routine Modeling Work

Description

Generate the ggplot for a correlation matrix

Usage

ggcorr(cor.mat, lower = FALSE, psize = NULL, high = "red",
  low = "blue", digits = 2, var.position = c("axis", "diagonal"),
  var.angle = 30, add.legend = TRUE)

Arguments

cor.mat	A correlation matrix, usually generated with cor() function
lower	Whether to plot the lower triangle only
psize	The poit size for the dots
high	The color represents the high (positive) correlation
low	The color represents the low (negative) correlation
digits	The number of digits shown for the correlation values
var.position	The position to put the variable names. If the value is "axis", the variable names will be at the x and y axis. If the value is "diagonal", the variable names will be put along the diagonal line.
var.angle	The angle of the text for the variable names on the X axis or The diagonal line.
add.legend	Whether to add the legend for color (TRUE/FALSE)

Value

A ggplot of the correlation matrix

Examples

xx <- matrix(runif(100), 10)
colnames(xx) <- paste0('Variable ', 1:ncol(xx))
cor.mat <- cor(xx)

ggcorr(cor.mat)  # default plot
ggcorr(cor.mat, var.position = 'diagonal', high = 'blue', low = 'green',
  add.legend = FALSE)
ggcorr(cor.mat, lower = TRUE, var.position = 'diagonal')

JianhuaHuang/streamit documentation built on May 7, 2019, 10:40 a.m.