apa_print.papaja_wsci {papaja} | R Documentation |
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 |
... |
Arguments passed on to |
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 |
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 |
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 |
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()
.