tests/testthat/test-cbind-study-individual.R

rxodeTest(
  {
    test_that("cbind study and individual", {


      ## lognCv <- function(x){log((x/100)^2+1)}

      ## set.seed(32)
      ## nSub <- 3
      ## nStud <- 2

      ## theta <- c(lka=log(0.5), # log ka
      ##            lCl=log(5), # log Cl
      ##            lV=log(300) # log V
      ##            )

      ## thetaMat <- lotri(lCl ~ lognCv(5),
      ##                   lV  ~ lognCv(5),
      ##                   lka ~ lognCv(5))


      ## nev <- nSub*nStud

      ## ev1 <- data.frame(COV1=rnorm(nev,50,30),COV2=rnorm(nev,75,10),
      ##                   COV3=sample(c(1.0,2.0),nev,replace=TRUE))


      ## tmat <-rxRmvn(nStud, theta[dimnames(thetaMat)[[1]]], thetaMat)

      ## x1 <- rxCbindStudyIndividual(tmat, ev1)


      ## nev <- nStud

      ## ev2 <- data.frame(COV1=rnorm(nev,50,30),COV2=rnorm(nev,75,10),
      ##                   COV3=sample(c(1.0,2.0),nev,replace=TRUE))


      ## x2 <- rxCbindStudyIndividual(tmat, ev2)

      ## qs::qsave(list(tmat=tmat, ev1=ev1, ev2=ev2, x1=x1, x2=x2), "test-cbind-study-individual.qs")

      qs <- test_path("test-cbind-study-individual.qs")

      if (file.exists(qs)) {
        l <- qs::qload(qs)

        tmat <- l$tmat
        ev1 <- l$ev1
        ev2 <- l$ev2

        expect_equal(rxCbindStudyIndividual(tmat, ev1), l$x1)

        expect_equal(rxCbindStudyIndividual(as.data.frame(tmat), ev1), l$x1)

        expect_equal(rxCbindStudyIndividual(tmat, ev2), l$x2)

        expect_equal(rxCbindStudyIndividual(as.data.frame(tmat), ev2), l$x2)

        expect_error(rxCbindStudyIndividual(c(a = 1), ev1))

        expect_error(rxCbindStudyIndividual(tmat, c(a = 1)))

        tmat2 <- tmat

        dimnames(tmat2) <- list(c("c", "cq"), NULL)

        expect_error(rxCbindStudyIndividual(tmat2, ev1))
      }
    })
  },
  test = "lvl2"
)

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RxODE documentation built on March 23, 2022, 9:06 a.m.