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rSCA  

An R Package for Stepwise Cluster Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("rSCA", "3.2")



Attach the package and use:
library("rSCA")
Maintained by
Xiuquan (Xander) Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-05-03
Latest Update: 2020-03-10
Description:
A statistical tool for multivariate modeling and clustering using stepwise cluster analysis. The modeling output of rSCA is constructed as a cluster tree to represent the complicated relationships between multiple dependent and independent variables. A free tool (named rSCA Tree Generator) for visualizing the cluster tree from rSCA is also released and it can be downloaded at .
How to cite:
Xiuquan (Xander) Wang (2014). rSCA: An R Package for Stepwise Cluster Analysis. R package version 3.2, https://cran.r-project.org/web/packages/rSCA. Accessed 26 Oct. 2026.
Previous versions and publish date:
(2026-07-27 01:10), 2.0 (2014-05-03 07:18), 2.1 (2014-05-10 08:50), 3.0 (2018-01-21 19:36), 3.1 (2020-03-10 16:30)
Other packages that cited rSCA R package
View rSCA citation profile
Other R packages that rSCA depends, imports, suggests or enhances
Complete documentation for rSCA
Functions, R codes and Examples using the rSCA R package
Some associated functions: rSCA.correlation . rSCA.inference . rSCA.missing . rSCA.modeling . 
Some associated R codes: Full rSCA package functions and examples
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