Package: statsExpressions 2.0.0

statsExpressions: Tidy Dataframes and Expressions with Statistical Details

Utilities for producing dataframes with rich details for the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian t-test, one-way ANOVA, correlation analyses, contingency table analyses, and meta-analyses. The functions are pipe-friendly and provide a consistent syntax to work with tidy data. These dataframes additionally contain expressions with statistical details, and can be used in graphing packages. This package also forms the statistical processing backend for 'ggstatsplot'. References: Patil (2021) <doi:10.21105/joss.03236>.

Authors:Indrajeet Patil [cre, aut, cph]

statsExpressions_2.0.0.tar.gz
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statsExpressions_2.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
statsExpressions/json (API)

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

Bug tracker:https://github.com/indrajeetpatil/statsexpressions/issues

Pkgdown/docs site:https://www.indrapatil.com

Datasets:
  • bugs_long - Tidy version of the "Bugs" dataset.
  • iris_long - Edgar Anderson's Iris Data in long format.
  • movies_long - Movie information and user ratings from IMDB.

On CRAN:

Conda:

bayesian-inferencebayesian-statisticscontingency-tablecorrelationeffectsizemeta-analysisparametricrobustrobust-statisticsstatistical-detailsstatistical-teststidy

11.48 score 313 stars 5 packages 175 scripts 11k downloads 1 mentions 15 exports 103 dependencies

Last updated from:751c347353. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK298
source / vignettesOK291
linux-release-x86_64OK301
macos-release-arm64OK261
macos-oldrel-arm64OK184
windows-develOK229
windows-releaseOK249
windows-oldrelOK212
wasm-releaseOK212

Exports:add_expression_colcentrality_descriptioncontingency_tablecorr_testextract_stats_typelong_to_wide_convertermeta_analysisone_sample_testoneway_anovapairwise_comparisonspairwise_contingency_tablestats_type_switchtidy_model_expressionstidy_model_parameterstwo_sample_test

Dependencies:abindafexbackportsBayesFactorbayestestRbootbroomBWStestcachemcarcarDataclicodacolorspacecontfraccorrelationcowplotcpp11datawizardDerivdescdeSolvedoBydplyreffectsizeellipticfarverfastmapforecastFormulafracdiffgenericsggplot2gluegmpgtablehypergeoinsightisobandkSampleslabelinglatticelifecyclelme4lmerTestlmtestmagrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkminqamodelrmultcompViewmvtnormnlmenloptrnnetnumDerivparameterspbapplypbkrtestperformancepillarpkgconfigplyrPMCMRpluspurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRdpackreformulasreshapereshape2rlangRmpfrrstantoolsS7scalesSparseMstringistringrSuppDistssurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrWRS2zoo

statsExpressions: R Package for Tidy Dataframes and Expressions with Statistical Details
Summary | Statement of Need | Comparison to Other Packages | Consistent Syntax for Statistical Analysis | Tidy Dataframes from Statistical Analysis | Custom Statistical Workflows | Pairwise comparisons with automatic p-value adjustment | Chaining multiple tests and adjusting p-values | Generating formatted expressions from custom results | Expressions for Plots | Licensing and Availability | Acknowledgements | References
Rendered fromstatsExpressions.Rmdusingknitr::rmarkdown

Last update: 2026-04-22
Started: 2021-12-13

Test and effect size details
Introduction | Data requirements | Summary of functionality | Summary of tests and effect sizes | centrality_description() | oneway_anova() | two_sample_test() | one_sample_test() | corr_test() | contingency_table() | meta_analysis() | Effect size interpretation | References | Suggestions
Rendered fromstats_details.Rmdusingknitr::rmarkdown

Last update: 2026-04-22
Started: 2019-08-15