lm_effsize_ci: Confidence intervals for (partial) eta-squared and...

In groupedstats: Grouped Statistical Analyses in a Tidy Way

Description

This function will convert a linear model object to a dataframe containing statistical details for all effects along with effect size measure and its confidence interval. For more details, see effectsize::eta_squared and effectsize::omega_squared.

Usage

lm_effsize_ci(object, effsize = "eta", partial = TRUE, conf.level = 0.95, ...)

Arguments

object	The linear model object (can be of class lm, aov, anova, or aovlist).
effsize	Character describing the effect size to be displayed: "eta" (default) or "omega".
partial	Logical that decides if partial eta-squared or omega-squared are returned (Default: TRUE). If FALSE, eta-squared or omega-squared will be returned. Valid only for objects of class lm, aov, anova, or aovlist.
conf.level	Numeric specifying Level of confidence for the confidence interval (Default: 0.95).
...	Ignored.

Value

A dataframe with results from stats::lm() with partial eta-squared, omega-squared, and bootstrapped confidence interval for the same.

Author(s)

Indrajeet Patil

Examples

# for reproducibility
set.seed(123)

# model
mod <-
  stats::aov(
    formula = mpg ~ wt + qsec + Error(disp / am),
    data = mtcars
  )

# dataframe with effect size and confidence intervals
groupedstats::lm_effsize_ci(mod)

groupedstats documentation built on May 29, 2021, 1:06 a.m.