Package: statsExpressions 1.6.1
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:
statsExpressions_1.6.1.tar.gz
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statsExpressions_1.6.1.tgz(r-4.4-any)statsExpressions_1.6.1.tgz(r-4.3-any)
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statsExpressions.pdf |statsExpressions.html✨
statsExpressions/json (API)
NEWS
| # 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
- 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.
bayesian-inferencebayesian-statisticscontingency-tablecorrelationeffectsizemeta-analysisparametricrobustrobust-statisticsstatistical-detailsstatistical-teststidy
Last updated 10 days agofrom:de5d8b12d5. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 11 2024 |
| R-4.5-win | OK | Nov 11 2024 |
| R-4.5-linux | OK | Nov 11 2024 |
| R-4.4-win | OK | Nov 11 2024 |
| R-4.4-mac | OK | Nov 11 2024 |
| R-4.3-win | OK | Nov 11 2024 |
| R-4.3-mac | OK | Nov 11 2024 |
Exports:%<-%%<>%%>%add_expression_colas_tibblecentrality_descriptioncontingency_tablecorr_testextract_stats_typelong_to_wide_convertermeta_analysisone_sample_testoneway_anovap_adjust_textpairwise_comparisonsstats_type_switchtibbletidy_model_expressionstidy_model_parameterstwo_sample_test
Dependencies:abindafexbackportsBayesFactorbayestestRbootbroomBWStestcachemcarcarDataclicodacolorspacecontfraccorrelationcowplotcpp11datawizardDerivdeSolvedoBydplyreffectsizeellipticfansifarverfastmapFormulagenericsggplot2gluegmpgtablehypergeoinsightisobandkSampleslabelinglatticelifecyclelme4lmerTestmagrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkminqamodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivparameterspbapplypbkrtestperformancepillarpkgconfigplyrPMCMRpluspurrrquantregR6RColorBrewerRcppRcppEigenreshapereshape2rlangRmpfrscalesSparseMstringistringrSuppDistssurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithrWRS2zeallot
statsExpressions: R Package for Tidy Dataframes and Expressions with Statistical Details
Rendered fromstatsExpressions.Rmdusingknitr::rmarkdownon Nov 11 2024.Last update: 2024-09-08
Started: 2021-12-13
Test and effect size details
Rendered fromstats_details.Rmdusingknitr::rmarkdownon Nov 11 2024.Last update: 2024-09-08
Started: 2019-08-15
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Template for expressions with statistical details | add_expression_col |
| Tidy version of the "Bugs" dataset. | bugs_long |
| Data frame and expression for distribution properties | centrality_description |
| Contingency table analyses | contingency_table |
| Correlation analyses | corr_test |
| Switch the type of statistics. | extract_stats_type stats_type_switch |
| Edgar Anderson's Iris Data in long format. | iris_long |
| Convert long/tidy data frame to wide format | long_to_wide_converter |
| Random-effects meta-analysis | meta_analysis |
| Movie information and user ratings from IMDB. | movies_long |
| One-sample tests | one_sample_test |
| One-way analysis of variance (ANOVA) | oneway_anova |
| _p_-value adjustment method text | p_adjust_text |
| Multiple pairwise comparison for one-way design | pairwise_comparisons |
| Expressions with statistics for tidy regression data frames | tidy_model_expressions |
| Convert '{parameters}' package output to '{tidyverse}' conventions | tidy_model_parameters |
| Two-sample tests | two_sample_test |
