Package: tidycomm 0.4.1

tidycomm: Data Modification and Analysis for Communication Research

Provides convenience functions for common data modification and analysis tasks in communication research. This includes functions for univariate and bivariate data analysis, index generation and reliability computation, and intercoder reliability tests. All functions follow the style and syntax of the tidyverse, and are construed to perform their computations on multiple variables at once. Functions for univariate and bivariate data analysis comprise summary statistics for continuous and categorical variables, as well as several tests of bivariate association including effect sizes. Functions for data modification comprise index generation and automated reliability analysis of index variables. Functions for intercoder reliability comprise tests of several intercoder reliability estimates, including simple and mean pairwise percent agreement, Krippendorff's Alpha (Krippendorff 2004, ISBN: 9780761915454), and various Kappa coefficients (Brennan & Prediger 1981 <doi:10.1177/001316448104100307>; Cohen 1960 <doi:10.1177/001316446002000104>; Fleiss 1971 <doi:10.1037/h0031619>).

Authors:Julian Unkel [aut, cre], Mario Haim [aut], Lara Kobilke [aut]

tidycomm_0.4.1.tar.gz
tidycomm_0.4.1.zip(r-4.5)tidycomm_0.4.1.zip(r-4.4)tidycomm_0.4.1.zip(r-4.3)
tidycomm_0.4.1.tgz(r-4.5-any)tidycomm_0.4.1.tgz(r-4.4-any)tidycomm_0.4.1.tgz(r-4.3-any)
tidycomm_0.4.1.tar.gz(r-4.5-noble)tidycomm_0.4.1.tar.gz(r-4.4-noble)
tidycomm_0.4.1.tgz(r-4.4-emscripten)tidycomm_0.4.1.tgz(r-4.3-emscripten)
tidycomm.pdf |tidycomm.html
tidycomm/json (API)
NEWS

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

Bug tracker:https://github.com/joon-e/tidycomm/issues

Pkgdown site:https://joon-e.github.io

Datasets:

On CRAN:

Conda:

6.62 score 16 stars 52 scripts 462 downloads 27 exports 104 dependencies

Last updated 11 months agofrom:f3fa3cf608. Checks:6 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKApr 02 2025
R-4.5-winNOTEApr 02 2025
R-4.5-macNOTEApr 02 2025
R-4.5-linuxNOTEApr 02 2025
R-4.4-winOKApr 02 2025
R-4.4-macOKApr 02 2025
R-4.4-linuxOKApr 02 2025
R-4.3-winOKApr 02 2025
R-4.3-macOKApr 02 2025

Exports:%>%add_indexcategorize_scalecenter_scalecorrelatecrosstabdescribedescribe_catdesign_graydesign_greydesign_lmudummify_scaleget_reliabilityminmax_scalemodelrecode_cat_scaleregressreverse_scalesetna_scalet_testtab_frequenciestab_percentilestest_icrto_correlation_matrixunianovavisualizez_scale

Dependencies:abindarmbackportsBHbitbit64bootbroomcarcarDataclicliprcodacolorspacecowplotcpp11crayondata.tableDerivdigestdoBydplyrfansifarverfastDummiesforcatsFormulagenericsGGallyggplot2ggstatsgluegtablehavenhmsisobandlabelinglatticelavaanlifecyclelm.betalme4lubridatemagrittrMASSMatrixMatrixModelsMBESSmgcvmimicrobenchmarkminqamistymnormtmodelrmunsellmvtnormnlmenloptrnnetnumDerivOpenMxpatchworkpbivnormpbkrtestpillarpkgconfigplyrprettyunitsprogresspurrrquadprogquantregR6rbibutilsRColorBrewerRcppRcppEigenRcppParallelRdpackreadrreformulasrlangrpfrstudioapiscalessemsemToolsSparseMStanHeadersstringistringrsurvivaltibbletidyrtidyselecttimechangetzdbutf8vctrsviridisLitevroomwithrxtable

Bivariate analysis of continuous and/or categorical variables

Rendered fromv02_bivariate.Rmdusingknitr::rmarkdownon Apr 02 2025.

Last update: 2024-02-16
Started: 2019-09-20

Adding indices and computing reliability estimates

Rendered fromv03_reliability.Rmdusingknitr::rmarkdownon Apr 02 2025.

Last update: 2024-02-16
Started: 2019-09-20

Intercoder reliability tests

Rendered fromv04_icr.Rmdusingknitr::rmarkdownon Apr 02 2025.

Last update: 2024-02-16
Started: 2019-09-20

Change Scales

Rendered fromv05_scales.Rmdusingknitr::rmarkdownon Apr 02 2025.

Last update: 2024-02-16
Started: 2024-02-16

Univariate analysis of continuous and categorical variables

Rendered fromv01_univariate.Rmdusingknitr::rmarkdownon Apr 02 2025.

Last update: 2024-02-16
Started: 2019-09-20