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)

superanova(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.

Details

superanova() is an alias of supernova()

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))
supernova(lm(mpg ~ disp, data = mtcars)) %>% print(pcut = 8)

supernova documentation built on Nov. 5, 2023, 1:09 a.m.