set.seed(42)
test_that("sim, default parameters", {
sim_dat <- sim_confounded_crisk(n=15)
expect_true(nrow(sim_dat)==15)
expect_true(ncol(sim_dat)==9)
expect_true(all(apply(sim_dat, 2, is.numeric)))
expect_true(length(unique(sim_dat$event))==3)
expect_true(length(unique(sim_dat$group))==2)
})
test_that("sim, custom values", {
outcome_betas <- list(c(0.03, 0.4),
c(1.1, 0.8),
c(0, 0),
c(-0.2, -0.4),
c(log(1.3), log(1.3)/3),
c(0, 0))
treatment_betas <- c(x1=0, x2=log(3), x3=log(1.2),
x4=0, x5=log(1.1), x6=log(1.4))
lcovars <- list(x1=c("rbinom", 1, 0.3),
x2=c("rbinom", 1, 0.7),
x3=c("rbinom", 1, 0.5),
x4=c("rnorm", 0, 1),
x5=c("rnorm", 0, 1.1),
x6=c("rnorm", 0, 0.9))
sim_dat <- sim_confounded_crisk(n=15,
treatment_betas=treatment_betas,
outcome_betas=outcome_betas,
lcovars=lcovars)
expect_true(nrow(sim_dat)==15)
expect_true(ncol(sim_dat)==9)
expect_true(all(apply(sim_dat, 2, is.numeric)))
expect_true(length(unique(sim_dat$event))==3)
expect_true(length(unique(sim_dat$group))==2)
})
test_that("sim, just one covariate", {
outcome_betas <- list(c(0.03, 0.4))
treatment_betas <- c(x1=0)
lcovars <- list(x1=c("runif", 1, 10))
sim_dat <- sim_confounded_crisk(n=15,
treatment_betas=treatment_betas,
outcome_betas=outcome_betas,
lcovars=lcovars)
expect_true(nrow(sim_dat)==15)
expect_true(ncol(sim_dat)==4)
expect_true(all(apply(sim_dat, 2, is.numeric)))
expect_true(length(unique(sim_dat$event))==3)
expect_true(length(unique(sim_dat$group))==2)
})
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