predictRaw {cNORM} | R Documentation |
Predict raw values
Description
Most elementary function to predict raw score based on Location (L, T score), Age (grouping variable) and the coefficients from a regression model.
Usage
predictRaw(norm, age, coefficients, minRaw = -Inf, maxRaw = Inf)
Arguments
norm |
The norm score, e. g. a specific T score or a vector of scores |
age |
The age value or a vector of scores |
coefficients |
The a cnorm object or the coefficients from the regression model |
minRaw |
Minimum score for the results; can be used for clipping unrealistic outcomes, usually set to the lower bound of the range of values of the test (default: 0) |
maxRaw |
Maximum score for the results; can be used for clipping unrealistic outcomes usually set to the upper bound of the range of values of the test |
Value
the predicted raw score or a data.frame of scores in case, lists of norm scores or age is used
See Also
Other predict:
derivationTable()
,
getNormCurve()
,
normTable()
,
predict.cnormBetaBinomial()
,
predict.cnormBetaBinomial2()
,
predictNorm()
,
rawTable()
Examples
# Prediction of single scores
model <- cnorm(raw = elfe$raw, group = elfe$group)
predictRaw(35, 3.5, model)