R: Autoplot PCA-likes

autoplot.pca_common {ggfortify}

R Documentation

Autoplot PCA-likes

Description

Autoplot PCA-likes

Usage

## S3 method for class 'pca_common'
autoplot(object, data = NULL, scale = 1, x = 1,
  y = 2, ...)

Arguments

`object`	PCA-like instance
`data`	Joined to fitting result if provided.
`scale`	scaling parameter, disabled by 0
`x`	principal component number used in x axis
`y`	principal component number used in y axis
`...`	other arguments passed to `ggbiplot`

Examples

autoplot(stats::prcomp(iris[-5]))
autoplot(stats::prcomp(iris[-5]), data = iris)
autoplot(stats::prcomp(iris[-5]), data = iris, colour = 'Species')
autoplot(stats::prcomp(iris[-5]), label = TRUE, loadings = TRUE, loadings.label = TRUE)
autoplot(stats::prcomp(iris[-5]), frame = TRUE)
autoplot(stats::prcomp(iris[-5]), data = iris, frame = TRUE,
         frame.colour = 'Species')
autoplot(stats::prcomp(iris[-5]), data = iris, frame = TRUE,
         frame.type = 't', frame.colour = 'Species')

autoplot(stats::princomp(iris[-5]))
autoplot(stats::princomp(iris[-5]), data = iris)
autoplot(stats::princomp(iris[-5]), data = iris, colour = 'Species')
autoplot(stats::princomp(iris[-5]), label = TRUE, loadings = TRUE, loadings.label = TRUE)

d.factanal <- stats::factanal(state.x77, factors = 3, scores = 'regression')
autoplot(d.factanal)
autoplot(d.factanal, data = state.x77, colour = 'Income')
autoplot(d.factanal, label = TRUE, loadings = TRUE, loadings.label = TRUE)

[Package ggfortify version 0.4.1 Index]