Provides an easy-to-use yet adaptable set of tools to conduct person-center analysis using a two-step clustering procedure. As described in Bergman and El-Khouri (1999) <doi:10.1002/(SICI)1521-4036(199910)41:6%3C753::AID-BIMJ753%3E3.0.CO;2-K>, hierarchical clustering is performed to determine the initial partition for the subsequent k-means clustering procedure.
Version: | 0.1.4 |
Imports: | dplyr, tidyr, ggplot2, tibble |
Suggests: | rmarkdown, knitr |
Published: | 2017-05-17 |
Author: | person("Joshua", "M.", "Rosenberg", role = c("aut", "cre"), email = "jmichaelrosenberg@gmail.com") |
Maintainer: | Joshua Rosenberg <jmichaelrosenberg at gmail.com> |
BugReports: | https://github.com/jrosen48/prcr/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/jrosen48/prcr |
NeedsCompilation: | no |
Materials: | README |
In views: | Cluster |
CRAN checks: | prcr results |
Reference manual: | prcr.pdf |
Vignettes: |
Introduction |
Package source: | prcr_0.1.4.tar.gz |
Windows binaries: | r-devel: prcr_0.1.4.zip, r-release: prcr_0.1.4.zip, r-oldrel: prcr_0.1.4.zip |
OS X El Capitan binaries: | r-release: prcr_0.1.4.tgz |
OS X Mavericks binaries: | r-oldrel: prcr_0.1.4.tgz |
Old sources: | prcr archive |
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