largeRCRF/tests/testthat/test_running.R

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R

context("Train and predict without error")
test_that("Competing Risks doesn't crash", {
sampleData <- data.frame(x=rnorm(100))
sampleData$T <- rexp(100) + abs(sampleData$x)
sampleData$delta <- sample(0:2, size = 100, replace=TRUE)
testData <- sampleData[1:5,]
trainingData <- sampleData[6:100,]
forest <- train(CR_Response(delta, T) ~ x, trainingData, ntree=50, numberOfSplits=0, mtry=1, nodeSize=5, cores=2, displayProgress=FALSE)
predictions <- predict(forest, testData)
expect_true(T) # show Ok if we got this far
})
test_that("Regresssion doesn't crash", {
sampleData <- data.frame(x=rnorm(100))
sampleData$y <- rexp(100) + sampleData$x
testData <- sampleData[1:5,]
trainingData <- sampleData[6:100,]
forest <- train(y ~ x, trainingData, ntree=50, numberOfSplits=0, mtry=1, nodeSize=5, cores=2, displayProgress=FALSE)
predictions <- predict(forest, testData)
other_predictions <- predict(forest) # there was a bug if newData wasn't provided.
expect_true(T) # show Ok if we got this far
})