context("Table of Means")
test_that("TableOfMeans", {
data(colas, package = "flipExampleData")
suppressWarnings(TableOfMeans(colas$q2c, colas$d1, colas$d2))
suppressWarnings(OneWayANOVA(colas$q2c, colas$d2, subset = colas$d1 == "18 to 24", compare = "To mean"))
# Filtered
suppressWarnings(TableOfMeans(colas$q2c, colas$d1, colas$d2, subset = colas$d1 == "18 to 24", correction = "None"))
suppressWarnings(OneWayANOVA(colas$q2c, colas$d2, subset = colas$d1 == "18 to 24", compare = "To mean", correction = "None"))
# Weighted
wgt <- as.integer(colas$d1 == "18 to 24")
suppressWarnings(TableOfMeans(colas$q2c, colas$d1, colas$d2, weights = wgt, correction = "None"))
suppressWarnings(OneWayANOVA(colas$q2c, colas$d2, subset = colas$d1 == "18 to 24", compare = "To mean", correction = "None"))
# Robust
expect_error(suppressWarnings(TableOfMeans(colas$q2c, colas$d1, colas$d2, correction = "None", robust.se = TRUE)), NA)
suppressWarnings(OneWayANOVA(colas$q2c, colas$d2, compare = "To mean", correction = "None", robust.se = TRUE))
# Variable names
suppressWarnings(TableOfMeans(colas$q2c, colas$d1, colas$d2, show.labels = FALSE))
# Numeric variables
data(bank, package = "flipExampleData")
attach(bank)
expect_error(TableOfMeans(Overall, Interest, Phone, show.labels = TRUE), NA)
detach(bank)
bank <- bank[bank$Interest < 3 & bank$Phone > 2 & bank$Phone < 5 , ]
attach(bank)
expect_error(TableOfMeans(Overall, Interest, Phone, robust.se = TRUE), NA)
detach(bank)
})
outcome <- rnorm(10)
row.input <- as.factor(letters[rep(1:2,times=5)])
test_that("DS-4284: Check for constant inputs",
{
const <- integer(length(outcome))
expect_error(TableOfMeans(const, row.input, outcome),
"All values in Outcome are identical.")
expect_error(TableOfMeans(outcome, const, row.input),
"All values in Rows are identical.")
expect_error(TableOfMeans(outcome, row.input, const),
"All values in Columns are identical.")
})
test_that("DS-4284: Check for identical inputs",
{
expect_error(TableOfMeans(outcome, row.input, row.input),
"The variables in Rows and Columns contain identical values")
expect_error(TableOfMeans(outcome, row.input, outcome),
"The variables in Outcome and Columns contain identical values")
expect_error(TableOfMeans(outcome, outcome, row.input),
"The variables in Outcome and Rows contain identical values")
})
test_that("DS-4284: Check inputs have same length (are from same dataset)",
{
input.wrong.n <- c(1, outcome)
expect_error(TableOfMeans(outcome, row.input, input.wrong.n),
"The variables in Outcome and Columns are different lengths.")
expect_error(TableOfMeans(outcome, input.wrong.n, row.input),
"The variables in Outcome and Rows are different lengths.")
expect_error(TableOfMeans(outcome, row.input, row.input,
subset = logical(length(outcome)+1)),
"The variables in Outcome and Filter\\(s\\) are different lengths.")
expect_error(TableOfMeans(outcome, row.input, row.input,
weight = numeric(length(outcome)+1)),
"The variables in Outcome and Weight are different lengths.")
})
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