MixmodPredict-class {Rmixmod} | R Documentation |
MixmodPredict
] classThis is a class to run discriminant analysis with mixmod.
numeric vector, matrix, or data frame of observations. Either qualitative or quantitative.
character. It defines whether data are quantitative or qualitative.
integer. The number of variables.
integer. The number of observations.
a character. The mixmod error.
a [MixmodResults
] object containing the classification rule.
a matrix containing observations to predict.
a matrix of probabilities.
# start by extract 10 observations from iris data set remaining.obs<-sample(1:nrow(iris),10) # then run a mixmodLearn() analysis without those 10 observations learn<-mixmodLearn(iris[-remaining.obs,1:4], iris$Species[-remaining.obs]) # create a MixmodPredict to predict those 10 observations new("MixmodPredict", data=iris[remaining.obs,1:4], classificationRule=learn["bestResult"]) getSlots("MixmodPredict")