supernova: supernova

In supernova: Judd, McClelland, & Ryan Formatting for ANOVA Output

supernova

Description

An alternative set of summary statistics for ANOVA. Sums of squares, degrees of freedom, mean squares, and F value are all computed with Type III sums of squares, but for fully-between subjects designs you can set the type to I or II. This function adds to the output table the proportional reduction in error, an explicit summary of the whole model, separate formatting of p values, and is intended to match the output used in Judd, McClelland, and Ryan (2017).

Usage

supernova(fit, type = 3, verbose = TRUE)

## S3 method for class 'lm'
supernova(fit, type = 3, verbose = TRUE)

## S3 method for class 'lmerMod'
supernova(fit, type = 3, verbose = FALSE)

Arguments

fit	A model fit by lm() or lme4::lmer()
type	The type of sums of squares to calculate (see generate_models()). Defaults to the widely used Type III SS.
verbose	If FALSE, the description column is suppressed.

Value

An object of the class supernova, which has a clean print method for displaying the ANOVA table in the console as well as a named list:

tbl	The ANOVA table as a data.frame
fit	The original lm or lmer object being tested
models	Models created by generate_models

References

Judd, C. M., McClelland, G. H., & Ryan, C. S. (2017). Data Analysis: A Model Comparison Approach to Regression, ANOVA, and Beyond (3rd ed.). New York: Routledge. ISBN:879-1138819832

Examples

supernova(lm(mpg ~ disp, data = mtcars))

change_p_decimals <- supernova(lm(mpg ~ disp, data = mtcars))
print(change_p_decimals, pcut = 8)

supernova documentation built on May 29, 2024, 4:47 a.m.