derivationTable function

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

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

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

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

Returns

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

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)

See Also

plotDerivative, derive

Other predict: getNormCurve(), normTable(), predict.cnormBetaBinomial(), predict.cnormBetaBinomial2(), predictNorm(), predictRaw(), rawTable()