### test the sanity checks
testthat::test_that("sanity checks work", {
### 1
### if (class(formula1) != "formula") {
testthat::expect_error(getBootCICorrSD("a"))
### 2
### if (length(formula1) != 3)
testthat::expect_error(getBootCICorrSD(y ~ x + z))
testthat::expect_error(getBootCICorrSD(y))
testthat::expect_error(getBootCICorrSD(~ x))
### 3
### if (length(var1) != 1 | length(var2) != 1) {
testthat::expect_error(getBootCICorrSD(y + x + z ~ u))
testthat::expect_error(getBootCICorrSD(y ~ + x + z))
### 4
### if (!is.numeric(vecVar1) | !is.numeric(vecVar2)) {
testthat::expect_error(getBootCICorrSD("y" + x + z ~ u))
testthat::expect_error(getBootCICorrSD(y + x + z ~ "u"))
### 5
### R must be numeric and integer
### if (!is.numeric(bootReps) | !is.wholenumber(bootReps) | bootReps < 20) {
testthat::expect_error(getBootCICorrSD(bootReps = "a"))
testthat::expect_error(getBootCICorrSD(bootReps = 10))
testthat::expect_error(getBootCICorrSD(bootReps = 50.1))
### 6
### if (!is.numeric(conf) | conf <= 0 | conf > .999 )
testthat::expect_error(getBootCICorrSD(conf = "a"))
testthat::expect_error(getBootCICorrSD(conf = 0))
testthat::expect_error(getBootCICorrSD(conf = .9999))
### 7
### if (!is.character(method) | length(method) != 1) {
### if (!method %in% c("p", "s", "k"))
testthat::expect_error(getBootCICorrSD(method = 1))
testthat::expect_error(suppressWarnings(getBootCICorrSD(method = letters[1:2])))
testthat::expect_error(getBootCICorrSD(method = "a"))
### 8
### if (!is.character(method) | length(method) != 1)
### if (!bootCImethod %in% c("no", "ba", "st", "pe", "bc"))
testthat::expect_error(getBootCICorrSD(method = 1))
testthat::expect_error(suppressWarnings(getBootCICorrSD(method = letters[1:2])))
testthat::expect_error(getBootCICorrSD(method = "a"))
})
### there are no warnings to test
### make data and results for them
set.seed(12345)
list(score1 = rnorm(50),
score2 = rnorm(50)) %>%
dplyr::as_tibble() -> tmpTib
# getBootCICorr(score1 ~ score2,
# tmpTib,
# method = "p", # gets the Pearson correlation
# bootReps = 1000,
# ### "pe" in next line gets the percentile bootstrap CI
# bootCImethod = "pe") -> tmp
# dput(tmp)
tmpRes <- list(obsCorr = -0.00170735054720914, LCLCorr = -0.303274967702902,
UCLCorr = 0.283094333272494)
### trivial tests of outputs
testthat::test_that("Output correct", {
testthat::expect_equal(getBootCICorr(score1 ~ score2,
tmpTib,
method = "p", # gets the Pearson correlation
bootReps = 1000,
### "pe" in next line gets the percentile bootstrap CI
bootCImethod = "pe"), tmpRes)
})
### test comment:
### nothing to say!
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