Description Usage Arguments Details Value Author(s) Examples
This function takes an existing MDR object and a set of new observations and classifies them according to the best n sets of MDR classifiers.
1 |
mdr |
The MDR object. |
data |
The new data. |
new.status |
Optional, the true status of the new data. |
fold |
Level of SNP-SNP interaction. |
This function takes an exisitng MDR object and a set of new observations and classifies them then using the top results of it, as it was defined in the previous MDR run.
A classification of the new observations.
Daniel Fischer
1 2 3 4 5 6 7 8 | ## Not run:
data(mdrExample)
mdrSNP.train <- mdrExample[1:350,1:20]
mdrSNP.test <- mdrExample[351:400,1:20]
fit.mdr <- mdr(mdrSNP.train, mdrExample$Class[1:350], fold=2, top=20)
ensResult <- mdrEnsemble(fit.mdr, data = mdrSNP.test)
## End(Not run)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.