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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 CimentadaORCID iD [aut, cre]
Maintainer:Jorge Cimentada <cimentadaj at gmail.com>
License:MIT + fileLICENSE
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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