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 [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

Documentation:

Reference manual:	perccalc.html , perccalc.pdf
Vignettes:	Case study: percentile differences using the General Social Survey (source, R code) Warning message with perccalc package (source, R code) Case study: percentile distributions in test scores using PISA (source, R code)

Downloads:

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-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

Linking:

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