report_effectsize: Report the effect size(s) of a model or a test

In neuropsychology/report: Automated Reporting of Results and Statistical Models

Report the effect size(s) of a model or a test

Description

Computes, interpret and formats the effect sizes of a variety of models and statistical tests (see list of supported objects in report()).

Usage

report_effectsize(x, ...)

Arguments

x	The R object that you want to report (see list of of supported objects above).
...	Arguments passed to or from other methods.

Value

An object of class report_effectsize().

Examples

library(report)

# h-tests
report_effectsize(t.test(iris$Sepal.Width, iris$Sepal.Length))

# ANOVAs
report_effectsize(aov(Sepal.Length ~ Species, data = iris))

# GLMs
report_effectsize(lm(Sepal.Length ~ Petal.Length * Species, data = iris))
report_effectsize(glm(vs ~ disp, data = mtcars, family = "binomial"))



# Mixed models
library(lme4)
model <- lme4::lmer(Sepal.Length ~ Petal.Length + (1 | Species), data = iris)
report_effectsize(model)




# Bayesian models
library(rstanarm)
model <- suppressWarnings(stan_glm(Sepal.Length ~ Species, data = iris, refresh = 0, iter = 600))
report_effectsize(model, effectsize_method = "basic")

neuropsychology/report documentation built on April 3, 2024, 4:08 p.m.