Displaying 2 results from an estimated 2 matches for "nsprcomp".
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npcomp
2013 Dec 17
1
Polychoric Principal Component Analysis (pPCA)
...I could not find one that directly estimate pPCA and graph the individuals and variables maps. I will appreciate any help that expand these reproducible scripts.
#How to conduct polychoric principal component analysis pPCA using
#either of these packages
library(psych)
library(FactoMineR)
library(nsprcomp)
#Bock and Liberman (1970) data set of 1000 observations of the LSAT
#from psych
data(bock)
responses <- table2df(bock.table[,2:6],count=bock.table[,7],
??????????????? labs= paste ("lsat6.",1:5,sep=""))
fix(responses)
describe(responses)
#Estimate the polychoric correlati...
2017 Sep 28
0
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...