compute_t_test

test_var

a <a rd-options="tibble:tibble-package" href="/link/tibble?package=tidycomm&version=0.0.1&to=tibble%3Atibble-package" data-mini-rdoc="tibble:tibble-package::tibble">tibble</a>

data

group_var

optional: a vector of length two specifying the two levels of
the group variable.

levels

a logical variable indicating whether to treat the two
variances as being equal. If <code>TRUE</code> then the pooled variance is used to
estimate the variance otherwise the Welch (or Satterthwaite) approximation
to the degrees of freedom is used. Defaults to <code>TRUE</code>.

var.equal

a logical indicating whether you want a paired t-test. Defaults
to <code>FALSE</code>.

paired

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

pooled_sd

Computes and outputs a t-test for one test variable

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.

compute_t_test: Compute t-test

Description

Usage

Arguments

Value

See Also