derivationTable {cNORM} | R Documentation

## Create a table based on first order derivative of the regression model for specific age

### Description

In order to check model assumptions, a table of the first order derivative of the model coefficients is created.

### Usage

    derivationTable(
      A,
      model,
      minNorm = NULL,
      maxNorm = NULL,
      step = 0.1,
      covariate = NULL
    )

### Arguments

`A` | the age
`model` | The regression model or a cnorm object
`minNorm` | The lower bound of the norm value range
`maxNorm` | The upper bound of the norm value range
`step` | Stepping parameter with lower values indicating higher precision
`covariate` | In case, a covariate has been used, please specify the degree of the covariate / the specific value here.

### Value

data.frame with norm scores and the predicted scores based on the derived regression function

### See Also

plotDerivative, derive

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

### Examples

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

    # retrieve function for time point 6
    d <- derivationTable(6, cnorm.elfe, step = 0.5)

[Package cNORM version 2.0.3 Index]