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(v1.6.0.9021) join functions update
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@@ -15,7 +15,7 @@ pca(
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)
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}
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\arguments{
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\item{x}{a \link{data.frame} containing numeric columns}
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\item{x}{a \link{data.frame} containing \link{numeric} columns}
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\item{...}{columns of \code{x} to be selected for PCA, can be unquoted since it supports quasiquotation.}
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@@ -57,7 +57,7 @@ Performs a principal component analysis (PCA) based on a data set with automatic
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\details{
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The \code{\link[=pca]{pca()}} function takes a \link{data.frame} as input and performs the actual PCA with the \R function \code{\link[=prcomp]{prcomp()}}.
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The result of the \code{\link[=pca]{pca()}} function is a \link{prcomp} object, with an additional attribute \code{non_numeric_cols} which is a vector with the column names of all columns that do not contain numeric values. These are probably the groups and labels, and will be used by \code{\link[=ggplot_pca]{ggplot_pca()}}.
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The result of the \code{\link[=pca]{pca()}} function is a \link{prcomp} object, with an additional attribute \code{non_numeric_cols} which is a vector with the column names of all columns that do not contain \link{numeric} values. These are probably the groups and labels, and will be used by \code{\link[=ggplot_pca]{ggplot_pca()}}.
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}
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\section{Stable Lifecycle}{
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