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bpca  

Biplot of Multivariate Data Based on Principal Components Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bpca", "1.3-6")



Attach the package and use:
library("bpca")
Maintained by
José C. Faria
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2008-08-17
Latest Update: 2021-03-22
Description:
Implements biplot (2d and 3d) of multivariate data based on principal components analysis and diagnostic tools of the quality of the reduction.
How to cite:
José C. Faria (2008). bpca: Biplot of Multivariate Data Based on Principal Components Analysis. R package version 1.3-6, https://cran.r-project.org/web/packages/bpca. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0-4 (2011-03-24 08:10), 1.0-5 (2011-04-10 10:15), 1.0-8 (2011-04-24 08:07), 1.0-10 (2012-02-21 07:58), 1.0.2 (2008-08-17 10:31), 1.0.3 (2009-06-22 09:28), 1.2-2 (2013-11-24 13:22), 1.3-0 (2018-06-12 00:04), 1.3-2 (2020-05-10 16:30), 1.3-4 (2021-03-22 20:50)
Other packages that cited bpca R package
View bpca citation profile
Other R packages that bpca depends, imports, suggests or enhances
Complete documentation for bpca
Functions, R codes and Examples using the bpca R package
Some associated functions: bpca-package . bpca . dt.tools . gabriel1971 . gge2003 . marina . ontario . plot . print.xtable . qbpca . summary.bpca . var.rbf . var.rdf . xtable.bpca . 
Some associated R codes: bpca.R . bpca.default.R . bpca.prcomp.R . dt.tools.R . plot.bpca.2d.R . plot.bpca.3d.R . plot.qbpca.R . print.xtable.bpca.R . qbpca.R . summary.bpca.R . var.rbf.R . var.rdf.R . xtable.bpca.R .  Full bpca package functions and examples
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