MDSPCAShiny: Interactive Document for Working with Multidimensional Scaling and Principal Component Analysis

An interactive document on the topic of multidimensional scaling and principal component analysis using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at <https://kartikeyabolar.shinyapps.io/MDS_PCAShiny/>.

Version:	0.1.0
Depends:	R (≥ 3.0.3)
Imports:	shiny, rmarkdown, dplyr, datasets, psych, MASS
Published:	2019-05-24
Author:	Kartikeya Bolar
Maintainer:	Kartikeya Bolar <kartikeya.bolar at tapmi.edu.in>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	MDSPCAShiny results

Documentation:

Reference manual:

MDSPCAShiny.pdf

Downloads:

Package source:	MDSPCAShiny_0.1.0.tar.gz
Windows binaries:	r-devel: MDSPCAShiny_0.1.0.zip, r-release: MDSPCAShiny_0.1.0.zip, r-oldrel: MDSPCAShiny_0.1.0.zip
macOS binaries:	r-release (arm64): MDSPCAShiny_0.1.0.tgz, r-oldrel (arm64): MDSPCAShiny_0.1.0.tgz, r-release (x86_64): MDSPCAShiny_0.1.0.tgz, r-oldrel (x86_64): MDSPCAShiny_0.1.0.tgz

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