plot.MixtComp {RMixtCompUtilities}

Plot of a MixtComp object

Description

Plot of a MixtComp object

Usage

## S3 method for class 'MixtComp'
plot(
  x,
  nVarMaxToPlot = 3,
  pkg = c("ggplot2", "plotly"),
  plotData = c("CI", "Boxplot"),
  ...
)

Arguments

x

MixtComp object

nVarMaxToPlot

number of variables to display

pkg

"ggplot2" or "plotly". Package used to plot

plotData

"CI" or "Boxplot". If "CI", uses plotDataCI function. If "Boxplot", uses plotDataBoxplot

...

extra parameter for plotDataCI

Author(s)

Quentin Grimonprez

See Also

mixtCompLearn mixtCompPredict

Other plot: heatmapClass(), heatmapTikSorted(), heatmapVar(), histMisclassif(), plotConvergence(), plotDataBoxplot(), plotDataCI(), plotDiscrimClass(), plotDiscrimVar(), plotParamConvergence(), plotProportion()

Examples

if (requireNamespace("RMixtCompIO", quietly = TRUE)) {
  dataLearn <- list(
    var1 = as.character(c(rnorm(50, -2, 0.8), rnorm(50, 2, 0.8))),
    var2 = as.character(c(rnorm(50, 2), rpois(50, 8)))
  )

  model <- list(
    var1 = list(type = "Gaussian", paramStr = ""),
    var2 = list(type = "Poisson", paramStr = "")
  )

  algo <- list(
    nClass = 2,
    nInd = 100,
    nbBurnInIter = 100,
    nbIter = 100,
    nbGibbsBurnInIter = 100,
    nbGibbsIter = 100,
    nInitPerClass = 3,
    nSemTry = 20,
    confidenceLevel = 0.95,
    ratioStableCriterion = 0.95,
    nStableCriterion = 10,
    mode = "learn"
  )

  resLearn <-RMixtCompIO::rmcMultiRun(algo, dataLearn, model, nRun = 3)

  plot(resLearn)
}