Package: psycho 0.6.1

Dominique Makowski

psycho: Efficient and Publishing-Oriented Workflow for Psychological Science

The main goal of the psycho package is to provide tools for psychologists, neuropsychologists and neuroscientists, to facilitate and speed up the time spent on data analysis. It aims at supporting best practices and tools to format the output of statistical methods to directly paste them into a manuscript, ensuring statistical reporting standardization and conformity.

Authors:Dominique Makowski [aut, cre, cph], Hugo Najberg [ctb], Viliam Simko [ctb], Sasha Epskamp [rev]

psycho_0.6.1.tar.gz
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psycho.pdf |psycho.html
psycho/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/neuropsychology/psycho.r/issues

Datasets:
  • affective - Data from the Affective Style Questionnaire
  • emotion - Emotional Ratings of Pictures

On CRAN:

apaapa6bayesiancorrelationformatinterpretationmixed-modelsneurosciencepsychopsychologyrstanarmstatistics

10.82 score 145 stars 5 packages 612 scripts 1.7k downloads 15 mentions 17 exports 39 dependencies

Last updated 4 years agofrom:cc9dff1585. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 12 2024
R-4.5-winNOTENov 12 2024
R-4.5-linuxNOTENov 12 2024
R-4.4-winNOTENov 12 2024
R-4.4-macNOTENov 12 2024
R-4.3-winOKNov 12 2024
R-4.3-macOKNov 12 2024

Exports:assesscrawford_dissociation.testcrawford.testcrawford.test.freqdprimefind_combinationsfind_matching_stringfind_seasongoldenis.psychobjectis.standardizedmellenbergh.testpercentilepercentile_to_zpower_analysisremove_empty_colsvalues

Dependencies:bayestestRclicolorspacedatawizarddplyreffectsizefansifarvergenericsggplot2gluegtableinsightisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmeparametersperformancepillarpkgconfigR6RColorBrewerrlangscalesstringistringrtibbletidyselectutf8vctrsviridisLitewithr

Bayesian Analysis in Psychology

Rendered frombayesian.Rmdusingknitr::rmarkdownon Nov 12 2024.

Last update: 2020-02-06
Started: 2018-03-28

psycho for R

Rendered fromoverview.Rmdusingknitr::rmarkdownon Nov 12 2024.

Last update: 2021-01-19
Started: 2017-07-27