apa_print.merMod: Typeset Statistical Results from Hierarchical GLM

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

Typeset Statistical Results from Hierarchical GLM

Description

These methods take objects from various R functions that calculate hierarchical (generalized) linear models to create formatted character strings to report the results in accordance with APA manuscript guidelines.

Usage

## S3 method for class 'merMod'
apa_print(
  x,
  effects = "fixed",
  conf.int = 0.95,
  in_paren = FALSE,
  est_name = NULL,
  ...
)

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

Arguments

x	A fitted hierarchical (generalized) linear model, either from lme4::lmer(), lmerTest::lmer(), afex::mixed(), or lme4::glmer().
effects	Character. Determines which information is returned. Currently, only fixed-effects terms ("fixed") are supported.
conf.int	Numeric specifying the required confidence level or a named list specifying additional arguments that are passed to lme4::confint.merMod(), see details.
in_paren	Logical. Whether the formatted string is to be reported in parentheses. If TRUE, parentheses in the formatted string (e.g., those enclosing degrees of freedom) are replaced with brackets.
est_name	An optional character. The label to be used for fixed-effects coefficients.
...	Further arguments that may be passed to apa_num to format estimates (i.e., columns estimate and conf.int).

Details

Confidence intervals are calculated by calling lme4::confint.merMod(). By default, Wald confidence intervals are calculated, but this may change in the future.

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()

Examples

  # Fit a linear mixed model using the lme4 package
  # or the lmerTest package (if dfs and p values are desired)
  library(lmerTest)
  fm1 <- lmer(Reaction ~ Days + (Days | Subject), sleepstudy)
  # Format statistics for fixed-effects terms (the default)
  apa_print(fm1)

crsh/papaja documentation built on Feb. 21, 2024, 6:11 p.m.