apa_print.papaja_wsci: Typeset Within-Subjects Confidence Intervals

In papaja: Prepare American Psychological Association Journal Articles with R Markdown

Typeset Within-Subjects Confidence Intervals

Description

This method takes an output object from wsci and creates a table and character strings to report means and within-subjects confidence intervals in a table or in text.

Usage

## S3 method for class 'papaja_wsci'
apa_print(x, ...)

Arguments

x	An object of class papaja_wsci.
...	Arguments passed on to apa_num

Value

apa_print()-methods return a named list of class apa_results containing the following elements:

estimate	One or more character strings giving point estimates, confidence intervals, and confidence level. A single string is returned in a vector; multiple strings are returned as a named list. If no estimate is available the element is NULL.
statistic	One or more character strings giving the test statistic, parameters (e.g., degrees of freedom), and p-value. A single string is returned in a vector; multiple strings are returned as a named list. If no estimate is available the element is NULL.
full_result	One or more character strings comprised 'estimate' and 'statistic'. A single string is returned in a vector; multiple strings are returned as a named list.
table	A data.frame of class apa_results_table that contains all elements of estimate and statistics. This table can be passed to apa_table() for reporting.

Column names in apa_results_table are standardized following the broom glossary (e.g., term, estimate conf.int, statistic, df, df.residual, p.value). Additionally, each column is labelled (e.g., $\hat{\eta}^2_G$ or $t$) using the tinylabels package and these labels are used as column names when an apa_results_table is passed to apa_table().

papaja documentation built on Sept. 29, 2023, 9:07 a.m.