R: ggscatmat - a traditional scatterplot matrix for purely...

ggscatmat {GGally} | R Documentation

## ggscatmat - a 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`.
`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 dicook@monash.edu

### Examples

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

[Package GGally version 1.3.2 Index]