derivationTable {cNORM} | R Documentation |
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, covariate = NULL )
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. |
data.frame with norm scores and the predicted scores based on the derived regression function
plotDerivative, derive
Other predict:
getNormCurve()
,
normTable()
,
predictNorm()
,
predictRaw()
,
rawTable()
# 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)