plotDensity: Plot the density function per group by raw score

In WLenhard/cNORM: Continuous Norming

Plot the density function per group by raw score

Description

The function plots the density curves based on the regression model against the actual percentiles from the raw data. As in 'plotNormCurves', please check for inconsistent curves, especially curves showing implausible shapes as f. e. violations of biuniqueness.

Usage

plotDensity(
  model,
  minRaw = NULL,
  maxRaw = NULL,
  minNorm = NULL,
  maxNorm = NULL,
  group = NULL,
  covariate = NULL
)

Arguments

model	The model from the bestModel function or a cnorm object
minRaw	Lower bound of the raw score
maxRaw	Upper bound of the raw score
minNorm	Lower bound of the norm score
maxNorm	Upper bound of the norm score
group	Column of groups to plot
covariate	In case, a covariate has been used, please specify the degree of the covariate / the specific value here.

See Also

plotNormCurves, plotPercentiles

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

Examples

# Load example data set, compute model and plot results for age values 2, 4 and 6
result <- cnorm(raw = elfe$raw, group = elfe$group)
plotDensity(result, group = c (2, 4, 6))

WLenhard/cNORM documentation built on April 1, 2024, 5:41 p.m.