tests/testthat/test-methods.R

In acoppock/randomizr: Easy-to-Use Tools for Common Forms of Random Assignment and Sampling

context("Declaration Methods")

test_that("RA Methods", {
  d <- declare_ra(N = 100)
  
  expect_warning(d[["foo"]] <- 2)
  expect_warning(d$foo <- 2)
  expect_error(ra_function(NULL))
  
  
  ### Testing pretty printer
  expect_output(print(d), "Complete random assignment")
  expect_output(print(d), "Number of units: 100")
  expect_output(print(d), "Number of treatment arms: 2")
  expect_output(print(d), "0 and 1")
  expect_output(print(d), "are constant across units")
  
  
  
})

test_that("RA block clust pretty printer", {
  d <-
    declare_ra(
      blocks = c(1, 1, 1, 2, 2, 2),
      clusters = c(1, 1, 2, 3, 3, 4),
      block_prob = c(.3, .7)
    )
  
  ### Testing pretty printer
  expect_output(print(d), "Blocked and clustered random assignment")
  expect_output(print(d), "Number of units: 6")
  expect_output(print(d), "Number of blocks: 2")
  expect_output(print(d), "Number of clusters: 4")
  expect_output(print(d), "NOT constant across units")
  
})


test_that("RS Methods", {
  d <- declare_rs(N = 100)
  
  expect_warning(d[["foo"]] <- 2)
  expect_warning(d$foo <- 2)
  
  expect_error(rs_function(NULL))
  
  
  ### Testing pretty printer
  expect_output(print(d), "Complete random sampling")
  expect_output(print(d), "Number of units: 100")
  expect_output(print(d), "are constant across units")
  
})

test_that("RS strata clust pretty printer", {
  d <-
    declare_rs(
      strata = c(1, 1, 1, 2, 2, 2),
      clusters = c(1, 1, 2, 3, 3, 4),
      strata_prob = c(.3, .7)
    )
  
  ### Testing pretty printer
  expect_output(print(d), "Stratified and clustered random sampling")
  expect_output(print(d), "Number of units: 6")
  expect_output(print(d), "Number of strata: 2")
  expect_output(print(d), "Number of clusters: 4")
  expect_output(print(d), "NOT constant across units")
  
})