Description Usage Arguments Value See Also Examples
View source: R/analysis_dimReduction_pca.R
Perform principal component analysis after processing missing values
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data 
an optional data frame (or similar: see

center 
a logical value indicating whether the variables
should be shifted to be zero centered. Alternately, a vector of
length equal the number of columns of 
scale. 
a logical value indicating whether the variables should
be scaled to have unit variance before the analysis takes
place. The default is 
missingValues 
Integer: number of tolerated missing values per column to be replaced with the mean of the values of that same column (5 rows by default) 
... 
Arguments passed on to 
PCA result in a prcomp
object
plotPCA
, performICA
and
plotICA
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