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>).

Version:	0.1.0
Depends:	R (≥ 2.10)
Imports:	broom, dplyr, forcats, glue, magrittr, MBESS, purrr, rlang, stringr, tibble, tidyr
Suggests:	covr, knitr, rmarkdown, testthat (≥ 2.1.0), tidyselect
Published:	2019-09-22
Author:	Julian Unkel [aut, cre]
Maintainer:	Julian Unkel <julian.unkel at gmail.com>
BugReports:	https://github.com/joon-e/tidycomm/issues
License:	GPL-3
URL:	https://github.com/joon-e/tidycomm
NeedsCompilation:	no
Materials:	README
CRAN checks:	tidycomm results

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