swh:1:snp:0c004a03453a29b80f921a24433f7e780b9ceb53
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Tip revision: 463a753148a0bf9e992b604f3fff056212f9536c authored by Alexey Sergushichev on 22 July 2018, 11:29:49 UTC
Timelimit for JS
Tip revision: 463a753
calcPCA.Rd
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/calcPCA.R
\name{calcPCA}
\alias{calcPCA}
\title{Principal Component Analysis.}
\usage{
calcPCA(es, columns = c(), rows = c(), replacena = "mean")
}
\arguments{
\item{es}{an ExpressionSet object, should be normalized}

\item{columns}{list of specified columns' indices (optional)}

\item{rows}{list of specified rows' indices (optional)}

\item{replacena}{method for replacing NA values (mean by default)}
}
\value{
json with full description of the plot for plotly.js
}
\description{
\code{calcPCA} calculates PCA-matrix for the given ExpressionSet
    and returns this matrix encoded to JSON.
}
\examples{
\dontrun{
data(es)
calcPCA(es)
}
}
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