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To reference or cite the objects present in the Software Heritage archive, permalinks based on SoftWare Hash IDentifiers (SWHIDs) must be used.
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content badge Iframe embedding
swh:1:cnt:46f246f3732df41c303aceba4478f00d31052f89
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swh:1:dir:5340f18ff8c1211ed88ce91fd7a7b5f2c701aee9

This interface enables to generate software citations, provided that the root directory of browsed objects contains a citation.cff or codemeta.json file.
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Generate software citation in BibTex format (requires biblatex-software package)
Generating citation ...
Generate software citation in BibTex format (requires biblatex-software package)
Generating citation ...
adjustDataset.Rd
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/adjustDataset.R
\name{adjustDataset}
\alias{adjustDataset}
\title{Adjust dataset}
\usage{
adjustDataset(es, scaleColumnSum = NULL, log2 = FALSE,
  onePlusLog2 = FALSE, inverseLog2 = FALSE, quantileNormalize = FALSE,
  zScore = FALSE, robustZScore = FALSE, sweep = NULL)
}
\arguments{
\item{es}{Expression set to perform adjustment on}

\item{scaleColumnSum}{perform sum scaling of columns (default FALSE)}

\item{log2}{perform logarithm2 adjustment (default FALSE)}

\item{onePlusLog2}{perform log2(1+x) adjustment (default FALSE)}

\item{inverseLog2}{perform 2^x adjustment (default FALSE)}

\item{quantileNormalize}{perform quantile normalization (default FALSE)}

\item{zScore}{perform zScore adjustment:
subtract mean, divide by std (default FALSE)}

\item{robustZScore}{perform robustZScore adjustment:
subtract median, divide by MAD (default FALSE)}

\item{sweep}{perform sweep adjustment on rows/columns (default FALSE)}
}
\value{
Nothing. Adjusted dataset will be assigned as ES in global environment
}
\description{
Adjust dataset
}
\examples{
\dontrun{
es <- gseGSE('GSE53986')[[1]]
adjustDataset(es, log2 = T, quantileNormalize = T)
}

}

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