context("Simulating a categorical survey")
prop_sex <- c(0.5, 0.5)
prop_raceethnicity <- c(0.55, 0.25, 0.1, 0.05, 0.05)
prop_age <- c(0, 0.1, 0.4, 0.3, 0.2)
prop_education <- c(0.1, 0.3, 0.4, 0.2)
prop_geography <- c(0.5, 0.2, 0.3)
odds_sex <- c(0.5, 2)
odds_raceethnicity <- c(0.2, 2, 2.5, 1, 1)
odds_age <- rep(1, 5)
odds_education <- c(0.4, 0.5, 2, 2.5)
odds_geography <- c(2, 1, 0.5)
n <- 10
su <- simulate_survey(prop_sex, odds_sex,
prop_raceethnicity, odds_raceethnicity,
prop_age, odds_age,
prop_education, odds_education,
prop_geography, odds_geography,
n)
test_that("can simulate a categorical survey question", {
expect_is(su, "tbl_df")
expect_true(all(dim(su) == c(10, 6)))
expect_true(all(names(su) == c("sex",
"raceethnicity",
"age",
"education",
"geography",
"response")))
expect_is(su$sex, "character")
expect_is(su$response, "character")
})
context("Simulating a continuous survey")
prop_sex <- c(0.5, 0.5)
prop_raceethnicity <- c(0.55, 0.25, 0.1, 0.05, 0.05)
prop_age <- c(0, 0.1, 0.4, 0.3, 0.2)
prop_education <- c(0.1, 0.3, 0.4, 0.2)
prop_geography <- c(0.5, 0.2, 0.3)
lambda_sex <- c(25, 75)
lambda_raceethnicity <- c(90, 10, 50, 50, 50)
lambda_age <- rep(NA, 5)
lambda_education <- rep(NA, 4)
lambda_geography <- rep(NA, 3)
n <- 10
su <- simulate_survey_continuous(prop_sex, lambda_sex,
prop_raceethnicity, lambda_raceethnicity,
prop_age, lambda_age,
prop_education, lambda_education,
prop_geography, lambda_geography,
n)
test_that("can simulate a continuous survey question", {
expect_is(su, "tbl_df")
expect_true(all(dim(su) == c(10, 6)))
expect_true(all(names(su) == c("sex",
"raceethnicity",
"age",
"education",
"geography",
"response")))
expect_is(su$sex, "character")
expect_is(su$response, "integer")
})
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