Other packages > Find by keyword >

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 04 Jun. 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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

crplyr  
A 'dplyr' Interface for Crunch
In order to facilitate analysis of datasets hosted on the Crunch data platform ...
Download / Learn more Package Citations See dependency  
golem  
A Framework for Robust Shiny Applications
An opinionated framework for building a production-ready 'Shiny' application. This package contains ...
Download / Learn more Package Citations See dependency  
AMPLE  
Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. ...
Download / Learn more Package Citations See dependency  
shinybusy  
Busy Indicators and Notifications for 'Shiny' Applications
Add indicators (spinner, progress bar, gif) in your 'shiny' applications to show the user that the ...
Download / Learn more Package Citations See dependency  
murphydiagram  
Murphy Diagrams for Forecast Comparisons
Data and code for the paper by Ehm, Gneiting, Jordan and Krueger ('Of Quantiles and Expectiles: Con ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA