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) , hierarchical clustering is performed to determine the initial partition for the subsequent k-means clustering procedure.

prcr is an R package for person-centered analysis. Person-centered analyses focus on clusters, or profiles, of observations, and their change over time or differences across factors. See Bergman and El-Khouri (1999) for a description of the analytic approach. See Corpus and Wormington (2014) for an example of person-centered analysis in psychology and education.


You can install prcr from CRAN with:


You can install development version from GitHub with:

# install.packages("devtools")


See examples of use of prcr in the Introduction to prcr vignette.

Code of Conduct

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms below.

This Code of Conduct is adapted from the Contributor Covenant (, version 1.0.0, available at

We are committed to making participation in this project a harassment-free experience for everyone, regardless of level of experience, gender, gender identity and expression, sexual orientation, disability, personal appearance, body size, race, ethnicity, age, or religion.

Examples of unacceptable behavior by participants include the use of sexual language or imagery, derogatory comments or personal attacks, trolling, public or private harassment, insults, or other unprofessional conduct.

Project maintainers have the right and responsibility to remove, edit, or reject comments, commits, code, wiki edits, issues, and other contributions that are not aligned to this Code of Conduct. Project maintainers who do not follow the Code of Conduct may be removed from the project team.

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Reference manual

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0.1.5 by Joshua M Rosenberg, 7 months ago

Report a bug at

Browse source code at

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

Documentation:   PDF Manual  

Task views: Cluster Analysis & Finite Mixture Models

MIT + file LICENSE license

Imports dplyr, tidyr, ggplot2, tibble, irr, lpSolve, purrr, class

Suggests rmarkdown, knitr

See at CRAN