compare: Compare Two Norm Models Visually

In cNORM: Continuous Norming

Compare Two Norm Models Visually

Description

This function creates a visualization comparing two norm models by displaying their percentile curves. The first model is shown with solid lines, the second with dashed lines. If age and score vectors are provided, manifest percentiles are displayed as dots. The function works with both regular cnorm models and beta-binomial models and allows comparison between different model types.

Usage

compare(
  model1,
  model2,
  percentiles = c(0.025, 0.1, 0.25, 0.5, 0.75, 0.9, 0.975),
  age = NULL,
  score = NULL,
  weights = NULL,
  title = NULL,
  subtitle = NULL
)

Arguments

model1	First model object (distribution free or beta-binomial)
model2	Second model object (distribution free or beta-binomial)
percentiles	Vector with percentile scores, ranging from 0 to 1 (exclusive)
age	Optional vector with manifest age or group values
score	Optional vector with manifest raw score values
weights	Optional vector with manifest weights
title	Custom title for plot (optional)
subtitle	Custom subtitle for plot (optional)

Value

A ggplot object showing the comparison of both models

See Also

Other plot: plot.cnorm(), plot.cnormBetaBinomial(), plot.cnormBetaBinomial2(), plotDensity(), plotDerivative(), plotNorm(), plotNormCurves(), plotPercentileSeries(), plotPercentiles(), plotRaw(), plotSubset()

Examples

## Not run: 
# Compare different types of models
model1 <- cnorm(group = elfe$group, raw = elfe$raw)
model2 <- cnorm.betabinomial(elfe$group, elfe$raw)
compare(model1, model2, age = elfe$group, score = elfe$raw)

## End(Not run)

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