regressionFunction: Regression function

In WLenhard/cNORM: Continuous Norming

Regression function

Description

The method builds the regression function for the regression model, including the beta weights. It can be used to predict the raw scores based on age and location.

Usage

regressionFunction(model, raw = NULL, digits = NULL)

Arguments

model	The regression model from the bestModel function or a cnorm object
raw	The name of the raw value variable (default 'raw')
digits	Number of digits for formatting the coefficients

Value

The regression formula as a string

See Also

Other model: bestModel(), checkConsistency(), cnorm.cv(), derive(), modelSummary(), print.cnorm(), printSubset(), rangeCheck(), summary.cnorm()

Examples

result <- cnorm(raw = elfe$raw, group = elfe$group)
regressionFunction(result)

WLenhard/cNORM documentation built on Nov. 30, 2024, 4:45 p.m.