Package: Dpit 1.0

Harry Joo

Dpit: Distribution Pitting

Compares distributions with one another in terms of their fit to each sample in a dataset that contains multiple samples, as described in Joo, Aguinis, and Bradley (in press). Users can examine the fit of seven distributions per sample: pure power law, lognormal, exponential, power law with an exponential cutoff, normal, Poisson, and Weibull. Automation features allow the user to compare all distributions for all samples with a single command line, which creates a separate row containing results for each sample until the entire dataset has been analyzed.

Authors:Harry Joo [aut, cre], Herman Aguinis [aut, dtc], Kyle J. Bradley [aut], Takuya Noguchi [ctb]

Dpit_1.0.tar.gz
Dpit_1.0.tar.gz(r-4.5-noble)Dpit_1.0.tar.gz(r-4.4-noble)
Dpit_1.0.tgz(r-4.4-emscripten)Dpit_1.0.tgz(r-4.3-emscripten)
Dpit.pdf |Dpit.html✨
Dpit/json (API)

# Install 'Dpit' in R:
install.packages('Dpit', repos = 'https://cloud.r-project.org')
Datasets:
  • FourSamples - A part of the data set used in Joo, Aguinis, & Bradley (2017).

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 436 downloads 2 exports 9 dependencies

Last updated 8 years agofrom:8ee014fc79. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 24 2025
R-4.5-linuxOKMar 24 2025
R-4.4-linuxOKMar 24 2025

Exports:descriptivesDpit

Dependencies:fitdistrplusgsllatticeMASSMatrixmomentsrlangsurvivalVGAM

Citation

To cite package Dpit in publications use:

Joo, H., Aguinis, H., & Bradley, K. J. 2017. Not all nonnormal distributions are created equal: Improved theoretical and measurement precision. Journal of Applied Psychology. Advance online publication.<doi:10.1037/apl0000214>

Corresponding BibTeX entry: 

  @Article{,
    title = {Not all nonnormal distributions are created equal:
      Improved theoretical and measurement precision},
    author = {Harry Joo and Herman Aguinis and Kyle J. Bradley},
    journal = {Journal of Applied Psychology},
    year = {2017},
    url = {http://hermanaguinis.com/pubs.html},
    pdf = {http://www.hermanaguinis.com/JAPinpress2.pdf},
  }