Partial Principal Component Analysis of Partitioned Large Sparse Matrices

Performs partial principal component analysis of a large sparse matrix. The matrix may be stored as a list of matrices to be concatenated (implicitly) horizontally. Useful application includes cases where the number of total nonzero entries exceed the capacity of 32 bit integers (e.g., with large Single Nucleotide Polymorphism data).


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("pPCA")

1.1 by Srika Raja, 2 years ago


Browse source code at https://github.com/cran/pPCA


Authors: Srika Raja [aut, cre] , Somak Dutta [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports Matrix, Rcpp

Depends on methods, RSpectra

Suggests ggbiplot

Linking to Rcpp


See at CRAN