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pPCA  

Partial Principal Component Analysis of Partitioned Large Sparse Matrices
View on CRAN: Click here


Download and install pPCA package within the R console
Install from CRAN:
install.packages("pPCA")

Install from Github:
library("remotes")
install_github("cran/pPCA")

Install by package version:
library("remotes")
install_version("pPCA", "1.1")



Attach the package and use:
library("pPCA")
Maintained by
Srika Raja
[Scholar Profile | Author Map]
First Published: 2024-10-11
Latest Update: 2024-10-22
Description:
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).
How to cite:
Srika Raja (2024). pPCA: Partial Principal Component Analysis of Partitioned Large Sparse Matrices. R package version 1.1, https://cran.r-project.org/web/packages/pPCA. Accessed 22 Feb. 2025.
Previous versions and publish date:
1.0 (2024-10-11 10:30)
Other packages that cited pPCA R package
View pPCA citation profile
Other R packages that pPCA depends, imports, suggests or enhances
Complete documentation for pPCA
Functions, R codes and Examples using the pPCA R package
Full pPCA package functions and examples
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