Models:
Joseph Gordon
joseph-gordon/
eventPrediction
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Downloads: 1
[f2e496]: / tests / testthat / test-ctrlSpec.R

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context("test-ctrlSpec")



test_that("give_median",{

  expect_error(CtrlSpecfromMedian(ctrl.median=NA)) 

  expect_error(CtrlSpecfromMedian(ctrl.median=-6))

  expect_error(CtrlSpecfromMedian(ctrl.median="ew"))

  expect_warning(expect_error(CtrlSpecfromMedian(ctrl.median=c(1,2,3))))

  

  cs <- CtrlSpecfromMedian(ctrl.median=10)

  expect_equal(10,cs@median)

  expect_equal("median=10",cs@text)

  

  expmed <- cs@experimentaltext(HR=1,shape=1)

  expect_equal("median=10",expmed)

  

  expmed <- cs@experimentaltext(HR=1,shape=1)

  expect_equal("median=10",expmed)

  

  expmed <- cs@experimentaltext(HR=1/1.5672,shape=1)

  expect_equal("median=15.67",expmed)

  

  expmed <- cs@experimentaltext(HR=0.25,shape=0.5)

  expect_equal("median=160",expmed)

  

})



test_that("give_prop",{

  expect_error(CtrlSpecfromProportion(time=-8,proportion.had.event=0.5,shape=1))

  expect_error(CtrlSpecfromProportion(time=8,proportion.had.event=-0.5,shape=1))

  expect_error(CtrlSpecfromProportion(time=8,proportion.had.event=1.0,shape=1))

  expect_error(CtrlSpecfromProportion(time=8,proportion.had.event=0.5,shape=0))

  expect_error(CtrlSpecfromProportion(time=8,proportion.had.event=0.5,shape=c(1,4)))

  

  x <- CtrlSpecfromProportion(time=8,proportion.had.event=0.75,shape=2.5)

  m <- (log(2)^0.4)/(log(4)^0.4/8)

  expect_equal(m,x@median)

  

  expect_equal("75% of subjects had an event by 8",x@text)

  

  x <- CtrlSpecfromProportion(time=8.5,proportion.had.event=0.5,shape=2)

  m <- 8.5

  expect_equal(m,x@median)

  expect_equal("50% of subjects had an event by 8.5",x@text)

  

  

  expect_equal("50% of subjects had an event by 8.5",x@experimentaltext(HR=1,shape=2))

  

  prop <- paste(round((1-(1-0.5)^2)*100,2),"% of subjects had an event by 8.5",sep="")

  expect_equal(prop, x@experimentaltext(HR=2,shape=2))

  

})