plot.cnormBetaBinomial function

Plot cnormBetaBinomial Model with Data and Percentile Lines

This function creates a visualization of a fitted cnormBetaBinomial model, including the original data points manifest percentiles and specified percentile lines.

## S3 method for class 'cnormBetaBinomial'
plot(x, ...)

Arguments

• x: A fitted model object of class "cnormBetaBinomial" or "cnormBetaBinomial2".

• ...: Additional arguments passed to the plot method.

  • age A vector the age data.
  • A vector of the score data.
  • weights An optional numeric vector of weights for each observation.
  • percentiles An optional vector with the percentiles to plot.
  • points Logical indicating whether to plot the data points. Default is TRUE.

Returns

A ggplot object.

Examples

## Not run:

# Computing beta binomial models already displays plot
model.bb <- cnorm.betabinomial(elfe$group, elfe$raw)

# Without data points
plot(model.bb, age = elfe$group, score = elfe$raw, weights=NULL, points=FALSE)
## End(Not run)

See Also

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