| regressionFunction {cNORM} | R Documentation |
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)
[Package cNORM version 3.0.4 Index]