apa_print: Typeset Statistical Results

View source: R/apa_print.R

apa_printR Documentation

Typeset Statistical Results

Description

A generic function that takes objects from various statistical methods to create formatted character strings to report the results in accordance with APA manuscript guidelines. The function invokes particular methods, which depend on the class of the first argument.

Usage

apa_print(x, ...)

Arguments

x

A model object.

...

Additional arguments passed to methods.

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().

See Also

Other apa_print: apa_print.BFBayesFactor(), apa_print.aov(), apa_print.emmGrid(), apa_print.glht(), apa_print.htest(), apa_print.list(), apa_print.lme(), apa_print.lm(), apa_print.merMod()

Examples

# List methods for apa_print()
methods("apa_print")

papaja documentation built on July 5, 2022, 1:08 a.m.