ddmatrix-prcomp | R Documentation |
Performs the principal components analysis.
prcomp(x, ...)
## S4 method for signature 'ddmatrix'
prcomp(x, retx = TRUE, center = TRUE, scale. = FALSE, tol = NULL, ...)
x |
numeric distributed matrix. |
... |
Ignored. |
retx |
logical, indicates whether the rotated variables should be returned |
center |
logical value, determines whether or not columns are zero centered |
scale. |
logical value, determines whether or not columns are rescaled to unit variance |
tol |
a value indicating the magnitude below which components should be
omitted. (Components are omitted if their standard deviations are less than
or equal to |
prcomp()
performs the principal components analysis on the data
matrix by taking the SVD. Sometimes core R and pbdDMAT will disagree
slightly in what the rotated variables are because of how the SVD is
caluclated.
Returns a list.
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