sjstats

Effect size measures and significance tests

https://github.com/strengejacke/sjstats

Science Score: 36.0%

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  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 6 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
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  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (15.3%) to scientific vocabulary

Keywords

effectsize mixed-models r regression-models significance-testing statistical-measures

Keywords from Contributors

standardization data-wrangling report
Last synced: 6 months ago · JSON representation

Repository

Effect size measures and significance tests

Basic Info
Statistics
  • Stars: 190
  • Watchers: 12
  • Forks: 21
  • Open Issues: 10
  • Releases: 6
Topics
effectsize mixed-models r regression-models significance-testing statistical-measures
Created almost 10 years ago · Last pushed 8 months ago
Metadata Files
Readme Changelog Contributing Code of conduct

README.md

sjstats - Collection of Convenient Functions for Common Statistical Computations

DOI

Collection of convenient functions for common statistical computations, which are not directly provided by R's base or stats packages.

This package aims at providing, first, shortcuts for statistical measures, which otherwise could only be calculated with additional effort (like Cramer's V, Phi, or effict size statistics like Eta or Omega squared), or for which currently no functions are available.

Second, another focus lies on implementations of common statistical significance tests with a consistent syntax, like t-test, Mann-Whitney test, Chi-squared test, and more. These functions are designed to be more user-friendly and also support weights, i.e. weighted statistics can be calculated.

Finally, the package includes miscellaneous functions that are either not yet available in R (like svyglm.nb() or svyglm.zip() to calculate negative binomial or zero-inflated poisson models for survey data) or are just convenient for daily work (like functions for bootstrapping, or ANOVA summary tables).

The comprised tools include:

  • Especially for mixed models: design effect, sample size calculation
  • Significance tests: Correlation, Chi-squared test, t-test, Mann-Whitney-U test, Wilcoxon rank sum test, Kruskal-Wallis test.

Note that most functions that formerly were available in this package have been moved to the easystats project.

Documentation

Please visit https://strengejacke.github.io/sjstats/ for documentation and vignettes.

Installation

Latest development build

To install the latest development snapshot (see latest changes below), type following commands into the R console:

r library(remotes) remotes::install_github("strengejacke/sjstats")

Officiale, stable release

CRAN_Status_Badge

To install the latest stable release from CRAN, type following command into the R console:

r install.packages("sjstats")

Citation

In case you want / have to cite my package, please use citation('sjstats') for citation information.

DOI

Owner

  • Name: Daniel
  • Login: strengejacke
  • Kind: user
  • Location: Hamburg, Germany
  • Company: Universitätsklinikum Hamburg-Eppendorf

Senior researcher; systems theory, qualitative and quantitative research

GitHub Events

Total
  • Issues event: 1
  • Watch event: 1
  • Push event: 5
Last Year
  • Issues event: 1
  • Watch event: 1
  • Push event: 5

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 862
  • Total Committers: 6
  • Avg Commits per committer: 143.667
  • Development Distribution Score (DDS): 0.162
Past Year
  • Commits: 2
  • Committers: 1
  • Avg Commits per committer: 2.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Daniel m****l@d****e 722
Daniel Lüdecke d****e@u****e 136
Rafael P. H r****h 1
Michael Liou l****s@g****m 1
Jenny Bryan j****n@g****m 1
Jeffrey Girard me@j****m 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 100
  • Total pull requests: 7
  • Average time to close issues: 6 months
  • Average time to close pull requests: 2 months
  • Total issue authors: 55
  • Total pull request authors: 4
  • Average comments per issue: 2.62
  • Average comments per pull request: 1.14
  • Merged pull requests: 6
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 0
  • Average time to close issues: 26 minutes
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 0
  • Average comments per issue: 0.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • IndrajeetPatil (21)
  • strengejacke (16)
  • cschwem2er (4)
  • jmgirard (3)
  • rhainerguille (2)
  • Camzcamz (2)
  • eimichae (2)
  • Deleetdk (2)
  • DominiqueMakowski (2)
  • theogeneserich (1)
  • Ax3man (1)
  • PiaKre (1)
  • appariciop (1)
  • lnalborczyk (1)
  • SchmidtPaul (1)
Pull Request Authors
  • strengejacke (8)
  • lioumens (2)
  • jennybc (1)
  • jmgirard (1)
Top Labels
Issue Labels
help wanted (5) bug (4) wontfix (3) question (2) code (1) awaiting response (1) enhancement (1)
Pull Request Labels

Packages

  • Total packages: 2
  • Total downloads:
    • cran 17,927 last-month
  • Total docker downloads: 37,646
  • Total dependent packages: 16
    (may contain duplicates)
  • Total dependent repositories: 17
    (may contain duplicates)
  • Total versions: 56
  • Total maintainers: 1
cran.r-project.org: sjstats

Collection of Convenient Functions for Common Statistical Computations

  • Versions: 42
  • Dependent Packages: 11
  • Dependent Repositories: 16
  • Downloads: 17,927 Last month
  • Docker Downloads: 37,646
Rankings
Stargazers count: 2.3%
Downloads: 2.7%
Forks count: 3.8%
Dependent packages count: 5.0%
Dependent repos count: 7.1%
Average: 7.4%
Docker downloads count: 23.5%
Maintainers (1)
Last synced: 6 months ago
conda-forge.org: r-sjstats
  • Versions: 14
  • Dependent Packages: 5
  • Dependent Repositories: 1
Rankings
Dependent packages count: 10.4%
Dependent repos count: 24.3%
Average: 24.7%
Stargazers count: 27.5%
Forks count: 36.7%
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.4 depends
  • utils * depends
  • MASS * imports
  • bayestestR * imports
  • broom * imports
  • datawizard * imports
  • dplyr * imports
  • effectsize * imports
  • emmeans * imports
  • insight * imports
  • lme4 * imports
  • magrittr * imports
  • modelr * imports
  • parameters * imports
  • performance * imports
  • purrr * imports
  • rlang * imports
  • sjlabelled * imports
  • sjmisc * imports
  • stats * imports
  • tidyr * imports
  • brms * suggests
  • car * suggests
  • coin * suggests
  • ggplot2 * suggests
  • graphics * suggests
  • pscl * suggests
  • pwr * suggests
  • rstan * suggests
  • sjPlot * suggests
  • survey * suggests
  • testthat * suggests