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'))

Peer review:

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

On CRAN:

bayesfactorconfidence-intervalspipelinestatistical-analysisstatistics

4.18 score 3 stars 376 downloads 24 exports 109 dependencies

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

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-winNOTEOct 27 2024
R-4.5-linuxNOTEOct 27 2024
R-4.4-winNOTEOct 27 2024
R-4.4-macNOTEOct 27 2024
R-4.3-winOKOct 27 2024
R-4.3-macOKOct 27 2024

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.tabledatawizardDerivdeSolvedigestdoBydplyrellipticExactezfansifarverfBasicsFormulagenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragssgtablehypergeoinsightisobandlabelinglatticelavaanlifecyclelme4logsplinemagrittrMASSMatrixMatrixModelsMBESSmgcvmimicrobenchmarkminqamnormtmodelrmunsellmvtnormnlmenloptrnnetnumDerivOpenMxpbapplypbivnormpbkrtestpillarpkgconfigplyrpolynompROCpurrrquadprogquantregR6RColorBrewerRcppRcppEigenRcppParallelreshape2rlangrootSolverpfrstatixscalessemsemToolsSparseMspatialstabledistStanHeadersstringistringrsurvivaltibbletidyrtidyselecttimeDatetimeSeriesutf8vctrsviridisviridisLitewithr

neatStats example use: pipeline from raw data to reportable statistics

Rendered fromexample_pipeline.Rmdusingknitr::rmarkdownon Oct 27 2024.

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