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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 |
DOI: | 10.32614/CRAN.package.MDSPCAShiny |
Author: | Kartikeya Bolar |
Maintainer: | Kartikeya Bolar <kartikeya.bolar at tapmi.edu.in> |
License: | GPL-2 |
NeedsCompilation: | no |
CRAN checks: | MDSPCAShiny results |
Reference manual: | MDSPCAShiny.pdf |
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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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