% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/PCA_plotfcns.R
\name{pca_dstat_plot}
\alias{pca_dstat_plot}
\title{d-statistic plot}
\usage{
pca_dstat_plot(number_components = 2, alpha = 0.05, ...)
}
\arguments{
\item{number_components}{(numeric) The number of principal components to use. The default is \code{2}.\cr}

\item{alpha}{(numeric) A confidence threshold for rejecting samples based on the d-statistic. The default is \code{0.05}.\cr}

\item{...}{Additional slots and values passed to \code{struct_class}.}
}
\value{
A  \code{
pca_dstat_plot
} object. This object has no \code{output} slots.
See \code{\link[struct]{chart_plot}} in the \code{struct} package to plot this chart object.
}
\description{
A bar chart of the d-statistics for samples in the input PCA model. Samples above the indicated threshold are considered to be outlying.
}
\section{Inheritance}{

A \code{pca_dstat_plot} object inherits the following \code{struct} classes: \cr\cr
\verb{[pca_dstat_plot]} >> \verb{[chart]} >> \verb{[struct_class]}
}

\examples{
M = pca_dstat_plot(
      number_components = 2,
      alpha = 0.95)

C = pca_dstat_plot()
}