getNormCurve {cNORM} | R Documentation |
As with this continuous norming regression approach, raw scores are modeled as a function of age and norm score (location), getNormCurve is a straightforward approach to show the raw score development over age, while keeping the norm value constant. This way, e. g. academic performance or intelligence development of a specific ability is shown.
getNormCurve( norm, model, minAge = NULL, maxAge = NULL, step = 0.1, minRaw = NULL, maxRaw = NULL, covariate = NULL )
norm |
The specific norm score, e. g. T value |
model |
The model from the regression modeling or a cnorm object |
minAge |
Age to start from |
maxAge |
Age to stop at |
step |
Stepping parameter for the precision when retrieving of the values, lower values indicate higher precision (default 0.1). |
minRaw |
lower bound of the range of raw scores (default = 0) |
maxRaw |
upper bound of raw scores |
covariate |
In case, a covariate has been used, please specify the degree of the covariate or the specific value here. |
data.frame of the variables raw, age and norm
Other predict:
derivationTable()
,
normTable()
,
predictNorm()
,
predictRaw()
,
rawTable()
# Generate cnorm object from example data cnorm.elfe <- cnorm(raw = elfe$raw, group = elfe$group) getNormCurve(35, cnorm.elfe)