perccalc: Estimate Percentiles from an Ordered Categorical Variable

An implementation of two functions that estimate values for percentiles from an ordered categorical variable as described by Reardon (2011, isbn:978-0-87154-372-1). One function estimates percentile differences from two percentiles while the other returns the values for every percentile from 1 to 100.

Version: 1.0.5
Depends: R (≥ 3.4.0)
Imports: stats, tibble, multcomp
Suggests: magrittr, spelling, dplyr, knitr, rmarkdown, testthat, ggplot2, MASS, carData, tidyr (≥ 1.0.0), covr
Published: 2019-12-17
DOI: 10.32614/CRAN.package.perccalc
Author: Jorge Cimentada ORCID iD [aut, cre]
Maintainer: Jorge Cimentada <cimentadaj at>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-US
Citation: perccalc citation info
Materials: NEWS
CRAN checks: perccalc results


Reference manual: perccalc.pdf
Vignettes: Case study: percentile differences using the General Social Survey
Warning message with perccalc package
Case study: percentile distributions in test scores using PISA


Package source: perccalc_1.0.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): perccalc_1.0.5.tgz, r-oldrel (arm64): perccalc_1.0.5.tgz, r-release (x86_64): perccalc_1.0.5.tgz, r-oldrel (x86_64): perccalc_1.0.5.tgz
Old sources: perccalc archive


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