Nothing
# default ----
test_that("default", {
data <- sim_mixed_cc()
expect_equal(nrow(data), 2000)
expect_equal(ncol(data), 7)
expect_equal(names(data), c("sub_id", "item_id", "y", "grand_i", "sub_i", "item_i", "err"))
res <- lme4::lmer(y ~ 1 + (1 | sub_id) + (1 | item_id), data = data) %>%
broom.mixed::tidy(effects = "ran_pars")
expect_equal(res$estimate, c(1,1,1), tolerance = 0.4)
})
# n ----
test_that("n", {
data <- sim_mixed_cc(100, 100)
expect_equal(nrow(data), 10000)
expect_equal(ncol(data), 7)
expect_equal(names(data), c("sub_id", "item_id", "y", "grand_i", "sub_i", "item_i", "err"))
res <- lme4::lmer(y ~ 1 + (1 | sub_id) + (1 | item_id), data = data) %>%
broom.mixed::tidy(effects = "ran_pars")
expect_equal(res$estimate, c(1,1,1), tolerance = 0.1)
})
# seed ----
test_that("seed", {
# # setting seed returns same DF, but is reset
# set.seed(1)
# rnd0 <- rnorm(1)
# df1 <- sim_mixed_cc(seed = 910210)
# rnd1 <- rnorm(1)
# df2 <- sim_mixed_cc(seed = 910210)
# rnd2 <- rnorm(1)
# set.seed(1)
# rnd0b <- rnorm(1)
# rnd1b <- rnorm(1)
# rnd2b <- rnorm(1)
# df3 <- sim_mixed_cc(seed = 8675309)
#
# expect_equal(df1, df2)
# expect_false(rnd1 == rnd2)
# expect_equal(rnd0, rnd0b)
# expect_equal(rnd1, rnd1b)
# expect_equal(rnd2, rnd2b)
# expect_true(!identical(df1, df3))
# user sets seed externally
set.seed(1)
df4 <- sim_mixed_cc()
set.seed(1)
df5 <- sim_mixed_cc()
expect_equal(df4, df5)
})
# fixed intercepts ----
test_that("fixed intercepts", {
# unnamed vectors
data <- sim_mixed_cc(3, 3, 0, 1:3, 4:6)
sub_ids <- unique(data$sub_id) %>% as.vector()
item_ids <- unique(data$item_id) %>% as.vector()
sub_is <- unique(data$sub_i) %>% as.vector()
item_is <- unique(data$item_i) %>% as.vector()
expect_equal(sub_ids, c("S1", "S2", "S3"))
expect_equal(item_ids, c("I1", "I2", "I3"))
expect_equal(sub_is, 1:3)
expect_equal(item_is, 4:6)
# named vectors
sub_sd <- c("A" = 1, "B" = 2, "C" = 3)
item_sd <- c("D" = 4, "E" = 5, "F" = 6)
data <- sim_mixed_cc(3, 3, 0, sub_sd, item_sd)
sub_ids <- unique(data$sub_id) %>% as.vector()
item_ids <- unique(data$item_id) %>% as.vector()
sub_is <- unique(data$sub_i) %>% as.vector()
item_is <- unique(data$item_i) %>% as.vector()
expect_equal(sub_ids, LETTERS[1:3])
expect_equal(item_ids, LETTERS[4:6])
expect_equal(sub_is, 1:3)
expect_equal(item_is, 4:6)
})
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