Correlation matrix plot — corplot • qacr

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

corplot(data, sort = FALSE, lab_size = 4)

Arguments

data	data frame
sort	logical. If `TRUE`, reorder variables to place variables with similar correlation patterns together.
lab_size	size for correlation coefficient labels (default=4).

a ggplot graph

The corplot function will only select quantitative variables from a data frame. Categorical variables are ignored.

The correlation matrix is presented as a lower triangle matrix. Correlations are Pearson Product Moment correlation coefficients.

Missing values are deleted in listwise fashion.

This function is a wrapper for the ggcorrplot function.

corplot(cars74)
corplot(cars74, sort=TRUE)
corplot(coffee, lab_size=2, sort=TRUE)