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sca  

Simple Component Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("sca", "0.9-2")



Attach the package and use:
library("sca")
Maintained by
Martin Maechler
[Scholar Profile | Author Map]
First Published: 2003-07-18
Latest Update: 2024-02-02
Description:
Simple Component Analysis (SCA) often provides much more interpretable components than Principal Components (PCA) while still representing much of the variability in the data.
How to cite:
Martin Maechler (2003). sca: Simple Component Analysis. R package version 0.9-2, https://cran.r-project.org/web/packages/sca. Accessed 04 Apr. 2025.
Previous versions and publish date:
0.8-3 (2003-07-18 09:30), 0.8-4 (2003-10-24 16:59), 0.8-5 (2004-08-06 14:31), 0.8-6 (2009-02-09 19:38), 0.8-7 (2009-11-17 09:56), 0.8-8 (2012-03-19 07:52), 0.8-9 (2012-09-01 07:55), 0.9-0 (2015-09-02 17:04), 0.9-1 (2023-01-14 14:20)
Other packages that cited sca R package
View sca citation profile
Other R packages that sca depends, imports, suggests or enhances
Complete documentation for sca
Functions, R codes and Examples using the sca R package
Some associated functions: agglomblock . allcrit . corcomp . firstpcres . hearlossC . maxmatrix . nextdiff . percent . pitpropC . quickcrit . reflexesC . sca . shrinkdiff . simpvector . sortmatrix . 
Some associated R codes: aaa.R . sca.R .  Full sca package functions and examples
Downloads during the last 30 days
03/0503/0603/0703/0803/0903/1003/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/0204/03Downloads for sca0246810121416182022242628TrendBars

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