Hello,
I've got a problem with the preparation of data for a training set in Rmixmod. I want to do semi supervised learning with the data in data.train (dir==I|B). Than, I want to predict the data of data.predict. I want to cluster this data into 4 clusters (2 known clusters and 2 unknown clusters). But there is a problem with reading the data, respectively the message appears "Empty mixture component". Has anybody an idea, whats the reason for this problem? Thank you very much!
#> A B C D E F dir
#> 1 2.56823821 1.1585366 0.3401361 -0.2900232 -0.7588739 -1.32496513 G
#> 2 2.56823821 1.8902439 -0.2267574 1.6821346 0.2203182 0.63150236 G
#> 3 1.32754342 2.1341463 0.5668934 -1.2180974 -2.1052632 0.20920502 I
#> 4 -0.03722084 1.2804878 -1.3605442 -1.5661253 -1.0036720 -0.62761506 I
#> 5 -0.28535980 -0.4268293 -0.1133787 1.2180974 -1.0036720 0.06973501 B
#> 6 -0.53349876 0.6707317 0.9070295 1.4501160 1.8115055 2.85913529 B
Created on 2022-02-24 by the reprex package (v2.0.1)
#Preparation of data
data.train<-subset(abcdef, dir=="I"|dir=="B")
data.predict<-subset(abcdef, dir=="G")
#train
library(Rmixmod)
#> Warning: Paket 'Rmixmod' wurde unter R Version 4.0.5 erstellt
#> Lade nötiges Paket: Rcpp
#> Warning: Paket 'Rcpp' wurde unter R Version 4.0.5 erstellt
#> Rmixmod v. 2.1.6 / URI: www.mixmod.org
set.seed(1234)
learn<-mixmodLearn(data.train[2:7],dataType="quantitative", knownLabels=data.train$dir
#predict
new("MixmodPredict", data=data.predict[ ,2:7], classificationRule=learn["bestResult"])
getSlots("MixmodPredict")
<sup>Created on 2022-02-24 by the [reprex package](https://reprex.tidyverse.org) (v2.0.1)</sup>