View source: R/PLOT_plotCrit.R
plotCrit | R Documentation |
Plot BIC and ICL with regards to the number of classes
plotCrit(output, crit = c("BIC", "ICL"), pkg = c("ggplot2", "plotly"), ...)
output |
MixtCompLearn object |
crit |
criterion to plot (can be "BIC", "ICL" or c("BIC", "ICL") (default)) |
pkg |
"ggplot2" or "plotly". Package used to plot |
... |
arguments to be passed to plot_ly |
ggplot2
or plotly
object
Quentin Grimonprez
Other plot:
plot.MixtCompLearn()
data(iris)
# define the algorithm's parameters
algo <- createAlgo()
# keep only 3 variables
model <- list(
Petal.Width = "Gaussian", Petal.Length = "Gaussian",
Sepal.Width = "Gaussian", Sepal.Length = "Gaussian"
)
# run RMixtComp in unsupervised clustering mode + data as matrix
res <- mixtCompLearn(iris, model, algo, nClass = 1:4, nCore = 1)
# plot
plotCrit(res)
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