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choosepc  

Choose the Number of Principal Components via Recistruction Error
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("choosepc", "1.0")



Attach the package and use:
library("choosepc")
Maintained by
Michail Tsagris
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-10-24
Latest Update: 2023-10-24
Description:
One way to choose the number of principal components is via the reconstruction error. This package is designed mainly for this purpose. Graphical representation is also supported, plus some other principal component analysis related functions. References include: Jolliffe I.T. (2002). Principal Component Analysis. and Mardia K.V., Kent J.T. and Bibby J.M. (1979). Multivariate Analysis. ISBN: 978-0124712522. London: Academic Press.
How to cite:
Michail Tsagris (2023). choosepc: Choose the Number of Principal Components via Recistruction Error. R package version 1.0, https://cran.r-project.org/web/packages/choosepc. Accessed 18 Sep. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited choosepc R package
View choosepc citation profile
Other R packages that choosepc depends, imports, suggests or enhances
Complete documentation for choosepc
Functions, R codes and Examples using the choosepc R package
Some associated functions: choosepc-package . eigci . pc.choose . 
Some associated R codes: eigci.R . pc.choose.R .  Full choosepc package functions and examples
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