autoplot.pca_common.Rd

% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/fortify_stats.R
\name{autoplot.pca_common}
\alias{autoplot.pca_common}
\alias{autoplot.prcomp}
\alias{autoplot.princomp}
\alias{autoplot.factanal}
\title{Autoplot PCA-likes}
\usage{
\method{autoplot}{pca_common}(
  object,
  data = NULL,
  scale = 1,
  x = 1,
  y = 2,
  variance_percentage = TRUE,
  ...
)
}
\arguments{
\item{object}{PCA-like instance}

\item{data}{Joined to fitting result if provided.}

\item{scale}{scaling parameter, disabled by 0}

\item{x}{principal component number used in x axis}

\item{y}{principal component number used in y axis}

\item{variance_percentage}{show the variance explained by the principal component?}

\item{...}{other arguments passed to [ggbiplot()]}
}
\description{
Autoplot PCA-likes
}
\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)

#Plot PC 2 and 3
autoplot(stats::princomp(iris[-5]), x = 2, y = 3)

#Don't show the variance explained
autoplot(stats::princomp(iris[-5]), variance_percentage = FALSE)

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)
}