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.numeric gt1 Logical. Indicates if the statistic can, in principle, have an absolute value greater than 1. If FALSE, leading zeros are omitted. zero Logical. Indicates if the statistic can, in principle, be 0. If FALSE, a string of the form ⁠< 0.001⁠ is returned instead of 0. na_string Character. String to print if any element of x is NA. use_math Logical. Indicates whether to use $ in the output so that Inf or scientific notation is rendered correctly. add_equals Logical. Indicates if the output string should be prepended with an =.

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 Oct. 30, 2024, 9:09 a.m.