ggscatmat: Traditional scatterplot matrix for purely quantitative...

In GGally: Extension to 'ggplot2'

Traditional scatterplot matrix for purely quantitative variables

Description

This function makes a scatterplot matrix for quantitative variables with density plots on the diagonal and correlation printed in the upper triangle.

Usage

ggscatmat(
  data,
  columns = 1:ncol(data),
  color = NULL,
  alpha = 1,
  corMethod = "pearson"
)

Arguments

data	a data matrix. Should contain numerical (continuous) data.
columns	an option to choose the column to be used in the raw dataset. Defaults to 1:ncol(data).
color	an option to group the dataset by the factor variable and color them by different colors. Defaults to NULL, i.e. no coloring. If supplied, it will be converted to a factor.
alpha	an option to set the transparency in scatterplots for large data. Defaults to 1.
corMethod	method argument supplied to cor

Author(s)

Mengjia Ni, Di Cook

Examples

# small function to display plots only if it's interactive
p_ <- GGally::print_if_interactive

data(flea)

p_(ggscatmat(flea, columns = 2:4))
p_(ggscatmat(flea, columns = 2:4, color = "species"))

GGally documentation built on May 29, 2024, 8:29 a.m.