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tests/heterogeneousDAtest.R
In Rmixmod: Classification with Mixture Modelling
library(Rmixmod)
data(heterodatatest)
data(heterodatatrain)
# learn <- mixmodLearn(heterodatatrain[-1], knownLabels = heterodatatrain$V1)
# predict <- mixmodPredict(heterodatatest[-1], classificationRule = learn["bestResult"])
# missclassified <- sum(as.integer(predict@partition) - as.integer(heterodatatest$V1))
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Rmixmod documentation built on Sept. 25, 2023, 5:08 p.m.
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library(Rmixmod)
data(heterodatatest)
data(heterodatatrain)
# learn <- mixmodLearn(heterodatatrain[-1], knownLabels = heterodatatrain$V1)
# predict <- mixmodPredict(heterodatatest[-1], classificationRule = learn["bestResult"])
# missclassified <- sum(as.integer(predict@partition) - as.integer(heterodatatest$V1))
Try the Rmixmod package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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