Package: neatStats 1.13.3

Gáspár Lukács

neatStats: Neat and Painless Statistical Reporting

User-friendly, clear and simple statistics, primarily for publication in psychological science. The main functions are wrappers for other packages, but there are various additions as well. Every relevant step from data aggregation to reportable printed statistics is covered for basic experimental designs.

Authors:Gáspár Lukács [aut, cre], Bennett Kleinberg [ctb], Johnny van Doorn [ctb]

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neatStats.pdf |neatStats.html✨
neatStats/json (API)

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

Bug tracker:https://github.com/gasparl/neatstats/issues

On CRAN:

bayesfactorconfidence-intervalspipelinestatistical-analysisstatistics

4.18 score 3 stars 391 downloads 24 exports 112 dependencies

Last updated 2 years agofrom:22171ed042. Checks:3 OK, 4 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 25 2025
R-4.5-winNOTEJan 25 2025
R-4.5-linuxNOTEJan 25 2025
R-4.4-winNOTEJan 25 2025
R-4.4-macNOTEJan 25 2025
R-4.3-winOKJan 25 2025
R-4.3-macOKJan 25 2025

Exports:aggr_neatanova_neatci_from_pcorr_neatdems_neatenumexcl_neatmean_cimon_convmon_neatnorm_testspath_neatpeek_neatplot_neatprops_neatrbind_loopread_dirroroc_neatsd_ciset_neattable_neatvar_tests

Dependencies:abindarmbackportsBayesFactorbayestestRBHbootbroomcarcarDataclicodacolorspacecontfraccorrplotcowplotcpp11data.tabledatawizardDerivdeSolvedigestdoBydplyrellipticExactezfansifarverfBasicsFormulagenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragssgtablehypergeoinsightisobandlabelinglatticelavaanlifecyclelme4logsplinemagrittrMASSMatrixMatrixModelsMBESSmgcvmimicrobenchmarkminqamnormtmodelrmunsellmvtnormnlmenloptrnnetnumDerivOpenMxpbapplypbivnormpbkrtestpillarpkgconfigplyrpolynompROCpurrrquadprogquantregR6rbibutilsRColorBrewerRcppRcppEigenRcppParallelRdpackreformulasreshape2rlangrootSolverpfrstatixscalessemsemToolsSparseMspatialstabledistStanHeadersstringistringrsurvivaltibbletidyrtidyselecttimeDatetimeSeriesutf8vctrsviridisviridisLitewithr

neatStats example use: pipeline from raw data to reportable statistics

Rendered fromexample_pipeline.Rmdusingknitr::rmarkdownon Jan 25 2025.

Last update: 2022-07-02
Started: 2022-02-24