predictNorm: Retrieve norm value for raw score at a specific age

In cNORM: Continuous Norming

Retrieve norm value for raw score at a specific age

Description

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.

Usage

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

Value

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

See Also

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

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)

cNORM documentation built on Nov. 4, 2024, 5:07 p.m.