predictNorm function

Retrieve norm value for raw score at a specific age

This functions numerically determines the norm score for raw scores depending on the level of the explanatory variable A, e. g. norm scores for raw scores at given ages.

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

Arguments

• raw: The raw value, either single numeric or numeric vector
• A: the explanatory variable (e. g. age), either single numeric or numeric vector
• 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
• silent: set to TRUE to suppress messages

Returns

The predicted norm score for a raw score, either single value or vector

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)

# predicted norm scores for the elfe dataset
# predictNorm(elfe$raw, elfe$group, cnorm.elfe)

See Also

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