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
Author: Jorge Cimentada ORCID iD [aut, cre]
Maintainer: Jorge Cimentada <cimentadaj at gmail.com>
License: MIT + file LICENSE
URL: https://cimentadaj.github.io/perccalc/, https://github.com/cimentadaj/perccalc
NeedsCompilation: no
Language: en-US
Citation: perccalc citation info
Materials: NEWS
CRAN checks: perccalc results

Downloads:

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: perccalc_1.0.5.zip, r-release: perccalc_1.0.5.zip, r-oldrel: perccalc_1.0.5.zip
macOS binaries: r-release (arm64): perccalc_1.0.5.tgz, r-release (x86_64): perccalc_1.0.5.tgz, r-oldrel: perccalc_1.0.5.tgz
Old sources: perccalc archive

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