Package: perccalc 1.0.5

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.

Authors:Jorge Cimentada [aut, cre]

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perccalc.pdf |perccalc.html✨
perccalc/json (API)
NEWS

# Install 'perccalc' in R:
install.packages('perccalc', repos = c('https://cimentadaj.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/cimentadaj/perccalc/issues

Datasets:
  • pisa_2006 - Mathematics test scores of Spain, Germany and Estonia in the PISA 2006 test
  • pisa_2012 - Mathematics test scores of Spain, Germany and Estonia in the PISA 2012 test

On CRAN:

5.53 score 4 stars 14 scripts 191 downloads 3 exports 21 dependencies

Last updated 4 years agofrom:f5c4ef2a51. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-winOKNov 10 2024
R-4.5-linuxOKNov 10 2024
R-4.4-winOKNov 10 2024
R-4.4-macOKNov 10 2024
R-4.3-winOKNov 10 2024
R-4.3-macOKNov 10 2024

Exports:perc_diffperc_diff_dfperc_dist

Dependencies:clicodetoolsfansigluelatticelifecyclemagrittrMASSMatrixmultcompmvtnormpillarpkgconfigrlangsandwichsurvivalTH.datatibbleutf8vctrszoo

Case study: percentile distributions using the General Social Survey

Jorge Cimentada

Rendered fromperc_calculator_example.Rmdusingknitr::rmarkdownon Nov 10 2024.

Last update: 2019-11-08
Started: 2017-07-31

Case study: percentile distributions in test scores using PISA

Jorge Cimentada

Rendered frompisa_example.Rmdusingknitr::rmarkdownon Nov 10 2024.

Last update: 2019-10-02
Started: 2019-09-24

Warning message with perccalc package

Jorge Cimentada

Rendered fromperc_warning_example.Rmdusingknitr::rmarkdownon Nov 10 2024.

Last update: 2018-08-24
Started: 2017-09-13