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

In lrutter/RNASeqVisualization:

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 [e-mail]

Examples

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

lrutter/RNASeqVisualization documentation built on May 21, 2019, 7:52 a.m.