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dr. M.S. (Matthijs) Berends
2026-06-23 00:21:40 +02:00
parent 3d3f06be24
commit 57e45db320
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man/ggplot_pca.Rd
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@@ -42,9 +42,8 @@ ggplot_pca(x, choices = 1:2, scale = 1, pc.biplot = TRUE,
}
\item{pc.biplot}{
If true, use what {\if{html}{\cite{}\out{<a href="#reference+biplot.princomp.Rd+R+3AGabriel+3A1971" class="citation">}}Gabriel (1971)\if{html}{\out{</a>}}} refers to as a
\dQuote{principal component biplot},
with \code{lambda = 1} and observations scaled up by sqrt(n) and
If true, use what Gabriel (1971) refers to as a "principal component
biplot", with \code{lambda = 1} and observations scaled up by sqrt(n) and
variables scaled down by sqrt(n). Then inner products between
variables approximate covariances and distances between observations
approximate Mahalanobis distance.