predictNorm {cNORM} | R Documentation

## Retrieve norm value for raw score at a specific age

### Description

In real test scenarios, usually the results are available as raw values, for which norm scores have to be looked up. This function conducts this reverse transformation via a numerical solution: A precise norm table is generated and the closest fitting norm score for a raw score is returned.

### Usage

    predictNorm(
      raw,
      A,
      model,
      minNorm = NULL,
      maxNorm = NULL,
      force = FALSE,
      covariate = NULL
    )

### Arguments

`raw` | The raw value, either single numeric or list of values
`A` | the age, either single numeric or list of values
`model` | The regression model or a cnorm object
`minNorm` | The lower bound of the norm score range
`maxNorm` | The upper bound of the norm score range
`force` | Try to resolve missing norm scores in case of inconsistent models
`covariate` | In case, a covariate has been used, please specify the degree of the covariate / the specific value here.

### Value

The predicted norm score for a raw score, either single value or list of results

### See Also

Other predict: `derivationTable()`, `getNormCurve()`, `normTable()`, `predictRaw()`, `rawTable()`

### Examples

    # Generate cnorm object from example data
    cnorm.elfe <- cnorm(raw = elfe$raw, group = elfe$group)

    # return norm value for raw value 21 for grade 2, month 9
    specificNormValue <- predictNorm(raw = 21, A = 2.75, cnorm.elfe)

[Package cNORM version 2.0.3 Index]