cohens_d

a (non-empty) numeric vector of data values.

a logical indicating whether to use the pooled standard
deviation in the calculation of Cohen's d. Defaults to <code>TRUE</code>.

pooled_sd

a logical value indicating whether NA values should be stripped
before the computation proceeds. Defaults to <code>TRUE</code>.

na.rm

Computes the effect size estimate Cohen's d for two sets of numerical values

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 continouos 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, and various Kappa coefficients.

cohens_d: Compute Cohen's d

Description

Usage

Arguments

Value

See Also