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.
apa_print(x, ...)apa_print()-methods return a named list of class apa_results containing the following elements:
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.
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.
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.
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().
A model object.
Additional arguments passed to methods.
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()
# List methods for apa_print()
methods("apa_print")
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