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:
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-4.4-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
- WoJ - Worlds of Journalism sample data
- fbposts - Facebook posts reliability test
- incvlcomments - Incivil Comments Data
- snscomments - SNS Comments data
Last updated 7 months agofrom:f3fa3cf608. Checks:OK: 5 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 03 2024 |
R-4.5-win | NOTE | Nov 03 2024 |
R-4.5-linux | NOTE | Nov 03 2024 |
R-4.4-win | OK | Nov 03 2024 |
R-4.4-mac | OK | Nov 03 2024 |
R-4.3-win | OK | Nov 03 2024 |
R-4.3-mac | OK | Nov 03 2024 |
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.betalme4lubridatemagrittrMASSMatrixMatrixModelsMBESSmgcvmimicrobenchmarkminqamistymnormtmodelrmunsellmvtnormnlmenloptrnnetnumDerivOpenMxpatchworkpbivnormpbkrtestpillarpkgconfigplyrprettyunitsprogresspurrrquadprogquantregR6RColorBrewerRcppRcppEigenRcppParallelreadrrlangrpfrstudioapiscalessemsemToolsSparseMStanHeadersstringistringrsurvivaltibbletidyrtidyselecttimechangetzdbutf8vctrsviridisLitevroomwithrxtable
Bivariate analysis of continuous and/or categorical variables
Rendered fromv02_bivariate.Rmd
usingknitr::rmarkdown
on Nov 03 2024.Last update: 2024-02-16
Started: 2019-09-20
Adding indices and computing reliability estimates
Rendered fromv03_reliability.Rmd
usingknitr::rmarkdown
on Nov 03 2024.Last update: 2024-02-16
Started: 2019-09-20
Intercoder reliability tests
Rendered fromv04_icr.Rmd
usingknitr::rmarkdown
on Nov 03 2024.Last update: 2024-02-16
Started: 2019-09-20
Change Scales
Rendered fromv05_scales.Rmd
usingknitr::rmarkdown
on Nov 03 2024.Last update: 2024-02-16
Started: 2024-02-16
Univariate analysis of continuous and categorical variables
Rendered fromv01_univariate.Rmd
usingknitr::rmarkdown
on Nov 03 2024.Last update: 2024-02-16
Started: 2019-09-20