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GGally (version 1.5.0)

ggscatmat: 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, 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

Examples

Run this code
# NOT RUN {
data(flea)
ggscatmat(flea, columns = 2:4)
ggscatmat(flea, columns = 2:4, color = "species")
# }

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