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perccalc  

Estimate Percentiles from an Ordered Categorical Variable
View on CRAN: Click here


Download and install perccalc package within the R console
Install from CRAN:
install.packages("perccalc")

Install from Github:
library("remotes")
install_github("cran/perccalc")

Install by package version:
library("remotes")
install_version("perccalc", "1.0.5")



Attach the package and use:
library("perccalc")
Maintained by
Jorge Cimentada
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-09-14
Latest Update: 2019-12-17
Description:
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.
How to cite:
Jorge Cimentada (2017). perccalc: Estimate Percentiles from an Ordered Categorical Variable. R package version 1.0.5, https://cran.r-project.org/web/packages/perccalc. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.0 (2017-09-14 19:47), 1.0.1 (2018-03-30 16:34), 1.0.2 (2018-07-18 19:30), 1.0.3 (2018-08-24 18:20), 1.0.4 (2019-12-09 17:00)
Other packages that cited perccalc R package
View perccalc citation profile
Other R packages that perccalc depends, imports, suggests or enhances
Complete documentation for perccalc
Functions, R codes and Examples using the perccalc R package
Some associated functions: perc_diff . perc_dist . pisa_2006 . pisa_2012 . 
Some associated R codes: data.R . perc_diff.R . perc_dist.R . utils.R .  Full perccalc package functions and examples
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