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Package Bianca November 22, 2017, Type Package Title PCA, Transpose and Multicore Functionality for 'big.matrix Objects Version 1.1 Date 20171117 Author Nicholas Cooper Maintainer Nicholas Cooper
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What is package bigpca?
Bigpca is a package used for performing Principal Component Analysis (PCA) on large datasets in R programming language.
Who is required to file package bigpca?
Researchers, data scientists, statisticians, or anyone working with large datasets and interested in conducting PCA analysis may be required to use package bigpca.
How to fill out package bigpca?
To fill out package bigpca, users need to install the package in R, load the necessary dataset, and use the functions provided in the package for conducting PCA analysis.
What is the purpose of package bigpca?
The purpose of package bigpca is to provide users with tools and functions to perform PCA analysis on large datasets efficiently and effectively in R.
What information must be reported on package bigpca?
Users may need to report information such as the input dataset, the number of principal components to be extracted, the method used for PCA, and the results of the analysis.
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