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Message-ID: <CAPvnpU8b1qDT=yED9WiSL-gUD6MFOoCG=4QSZ3XLaLqN=fGzRA@mail.gmail.com>
Date: 2017-09-28T12:00:31Z
From: Shylashree U.R
Subject: Efficient Package for Huge datasets in R

Dear Sir/Madam,

I have a large data set of 10,17,289 observations of 10,830 variables. I
need to use PCA to reduce the dimension of dataset. I have already tried
irlba, prcomp and nsprcomp packages in R but couldn't do for huge data
sets.

i.e pc <- prcomp_irlba(sparseYY[1:5000,], n=50, retx = TRUE, center = TRUE,
scale. = FALSE)
able to get only few PCs for 5000 rows only

so can you please help me what package can i use to do PCA in R for large
dataset?


Thanks and Regards

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