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: 1.0.1
Depends: R (≥ 3.4.0)
Imports: magrittr, dplyr, purrr, stats, tibble, broom, tidyr, multcomp
Suggests: spelling, knitr, rmarkdown, testthat, ggplot2, haven, MASS
Published: 2018-03-30
Author: Jorge Cimentada [aut, cre]
Maintainer: Jorge Cimentada <cimentadaj at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: perccalc results

Downloads:

Reference manual: perccalc.pdf
Vignettes: Calculating percentile differences from ordered categorical and continuous variables
Warning message with perccalc package
Package source: perccalc_1.0.1.tar.gz
Windows binaries: r-prerel: perccalc_1.0.1.zip, r-release: perccalc_1.0.1.zip, r-oldrel: not available
OS X binaries: r-prerel: perccalc_1.0.1.tgz, r-release: perccalc_1.0.1.tgz
Old sources: perccalc archive

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