Nothing
context('confounder.trans - transform confounders ready to be used by PLSIM')
test_that('Output of confounder.trans', {
dat.cov <- data.frame(
age = c(1.5, 2.3, 3.1, 4.8, 5.2),
sex = c(1, 2, 1, 2, 2),
race = c(1, 2, 3, 4, 5)
)
dat.cov$sex <- factor(dat.cov$sex, 1:2, c('Male', 'Female'))
dat.cov$race <- factor(dat.cov$race,1:5,c("NH-White", "NH-Black",
"MexicanAmerican", "OtherRace", "Hispanic"))
Z_continuous = c("age")
Z_discrete = c("sex", "race")
cov_m <- confounder.trans(Z_continuous = c("age"), Z_discrete = c("sex", "race"), data = dat.cov)
expect_true(is.list(cov_m))
expect_true(is.vector(cov_m$New.Name))
expect_true(is.data.frame(cov_m$Updated.data))
expect_equal(ncol(cov_m$Updated.data), ncol(dat.cov) + length(cov_m$New.Name))
})
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