heatmapTikSorted: Heatmap of the tik = P(Z_i=k|x_i)

In RMixtCompUtilities: Utility Functions for 'MixtComp' Outputs

Heatmap of the tik = P(Z_i=k|x_i)

Description

Heatmap of the tik = P(Z_i=k|x_i)

Usage

heatmapTikSorted(output, pkg = c("ggplot2", "plotly"), ...)

Arguments

output	object returned by mixtCompLearn function from RMixtComp or rmcMultiRun function from RMixtCompIO
pkg	"ggplot2" or "plotly". Package used to plot
...	arguments to be passed to plot_ly

Details

Observation are sorted according to the hard partition then for each component they are sorted by decreasing order of their tik's

Author(s)

Matthieu MARBAC

See Also

getTik

Other plot: heatmapClass(), heatmapVar(), histMisclassif(), plot.MixtComp(), 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
  heatmapTikSorted(resLearn)
}

RMixtCompUtilities documentation built on Sept. 22, 2023, 5:10 p.m.