GGally: ggscatmat – R documentation

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ggscatmat

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

Extension to 'ggplot2'

v2.1.1

GPL (>= 2.0)

Authors

Barret Schloerke [aut, cre], Di Cook [aut, ths], Joseph Larmarange [aut], Francois Briatte [aut], Moritz Marbach [aut], Edwin Thoen [aut], Amos Elberg [aut], Ott Toomet [ctb], Jason Crowley [aut], Heike Hofmann [ths], Hadley Wickham [ths]

Initial release