This R package is for supervised, unsupervised, and semi-supervised classification with MIXture MODelling (interface of MIXMOD software). First, let's look at a dataset called birds:
> library(Rmixmod) > data(birds)
> head(birds) gender eyebrow collar sub-caudal border 1 male poor pronounced dotted white few 2 female none dotted black none 3 female pronounced none white none 4 male pronounced dotted white none 5 male pronounced dotted white none 6 male pronounced dotted white none > dim(birds) [1] 69 5
From the previous output, we know that there are 69 observations with 5 characteristics. The following example code is designed to plot bars based on eyebrow and collar:
x <- mixmodCluster(birds,2)
bb<-barplotCluster
bb(x["bestResult"], birds)
bb(x["bestResult"], birds, variables=c(2,3,4))
bb(x["bestResult"], birds, variables=c("eyebrow","collar"))
The graphs are shown here:
