context("Scenario of un wanted inputs")
test_that("NA values are avoided",{
expect_that(fitGrassiaIIBin(0:7,c(47,12,43,40,40,41,39,95),NA,3),
throws_error("NA or Infinite or NAN values in the Input"))
})
test_that("Infinite values are avoided",{
expect_that(fitGrassiaIIBin(0:7,c(47,12,43,40,40,41,39,95),Inf,3),
throws_error("NA or Infinite or NAN values in the Input"))
})
test_that("NAN values are avoided",{
expect_that(fitGrassiaIIBin(0:7,c(47,54,45,40,40,41,39,95),NaN,5),
throws_error("NA or Infinite or NAN values in the Input"))
})
context("Chi-squared issues")
test_that("Chi-squared approximation issues",{
expect_that(fitGrassiaIIBin(0:4,c(12,15,11,5,10),0.16,0.013),
shows_message("Chi-squared approximation is not suitable because expected frequency approximates to zero"))
})
test_that("Chi-squared approximation issues",{
expect_that(fitGrassiaIIBin(0:6,c(2,5,4,40,40,4,3),0.1,3),
shows_message("Chi-squared approximation may be doubtful because expected frequency is less than 5"))
})
context("Degree of Freedom")
test_that("Degree of freedom less than zero",{
expect_that(fitGrassiaIIBin(c(0,1,2),c(8,9,13),3.03,1.6),
throws_error("Degrees of freedom cannot be less than or equal to zero"))
})
test_that("Degree of freedom equal to zero",{
expect_that(fitGrassiaIIBin(c(0,1,2),c(10,11,12),6.1,6.03),
throws_error("Degrees of freedom cannot be less than or equal to zero"))
})
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