plotDensity {cNORM}

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))