Package: prcr 0.2.1

Joshua M Rosenberg

prcr: Person-Centered Analysis

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.

Authors:Joshua M Rosenberg [aut, cre], Jennifer A Schmidt [aut], Patrick N Beymer [aut], Rebecca R Steingut [ctb]

prcr_0.2.1.tar.gz
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prcr.pdf |prcr.html
prcr/json (API)

# Install 'prcr' in R:
install.packages('prcr', repos = c('https://jrosen48.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/jrosen48/prcr/issues

Datasets:
  • pisaUSA15 - Student questionnaire data with four variables from the 2015 PISA for students in the United States

On CRAN:

4 exports 5 stars 1.07 score 40 dependencies 18 scripts 780 downloads

Last updated 5 years agofrom:95db5c839d. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 15 2024
R-4.5-winWARNINGSep 15 2024
R-4.5-linuxWARNINGSep 15 2024
R-4.4-winWARNINGSep 15 2024
R-4.4-macWARNINGSep 15 2024
R-4.3-winWARNINGSep 15 2024
R-4.3-macWARNINGSep 15 2024

Exports:create_profiles_clusterdetect_outliersestimate_r_squaredplot_profiles

Dependencies:classclicolorspacecpp11dplyrfansifarverforcatsgenericsggplot2gluegtableirrisobandlabelinglatticelifecyclelpSolvemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Introduction to use of prcr for carrying a out two-step cluster analysis

Rendered fromintroduction_to_prcr.Rmdusingknitr::rmarkdownon Sep 15 2024.

Last update: 2017-10-28
Started: 2017-02-15