Nothing
### simulateData
# test extreme values
library(nlcv)
myEset <- simulateData(nCols = 40, nRows = 1000, nEffectRows = 0)
### check the converter works as expected
set.seed(120)
x <- matrix(rnorm(1000*20), ncol=20)
y <- sample(c(1:4), size=20, replace=TRUE)
traindf <- cbind.data.frame(t(x[,1:15]), y = y[1:15])
alldf <- cbind.data.frame(t(x), y)
pamrMLObj <- pamrML(y ~ ., traindf)
nlcv:::pamrIconverter(obj = pamrMLObj, data = alldf, trainInd = 1:15)
### test pamrI for an ExpressionSet
EsetStrongSignal <- simulateData(nCols = 40, nRows = 1000, nEffectRows = 10, nNoEffectCols = 0,
betweenClassDifference = 3, withinClassSd = 0.5)
mlobj <- MLearn(type ~ .,
data = EsetStrongSignal,
.method = pamrI,
trainInd = sample(1:40, 20))
mlobj
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.