context("test-faux2anova_design")
# errors ----
test_that("errors", {
design <- check_design(plot = FALSE)
expect_error(faux2ANOVA_design(design),
"You need at least one factor to use Superpower")
design <- check_design(c(2,2,2,2), plot = FALSE)
expect_error(faux2ANOVA_design(design),
"You can't use Superpower with more than 3 factors")
})
test_that("?", {
mu <- c(1.1, 1.2, 1.3, 1.4)
r <- c(0.91, 0.92, 0.93,
0.94, 0.95,
0.96)
within <- list(COLOR = c("red", "blue"),
SPEED = c("fast","slow"))
design <- check_design(within,
n = 80, mu = mu, sd = 1, r = r)
design_av <- faux2ANOVA_design(design)
design_sp <- Superpower::ANOVA_design(
design = "2w*2w",
n = 80,
mu = c(1.1, 1.2, 1.3, 1.4),
sd = 1,
r = c(0.91, 0.92, 0.93, 0.94, 0.95, 0.96),
labelnames = c("COLOR", "red", "blue",
"SPEED", "fast", "slow"),
plot = TRUE
)
names(design_sp)
design$within
})
# 2w ----
test_that("2w", {
design <- check_design(2, list(), plot = FALSE)
ap <- faux2ANOVA_design(design, plot = FALSE)
expect_equal(ap$design, "2w", check.environment=FALSE)
#expect_equal(ap$design_list, c("A1", "A2"), check.environment=FALSE)
#expect_equal(ap$factors, 1, check.environment=FALSE)
expect_equal(ap$mu, c(0,0), check.environment=FALSE)
expect_equal(ap$sd, c(1,1), check.environment=FALSE)
expect_equal(ap$r, 0, check.environment=FALSE)
expect_equal(ap$n, 100, check.environment=FALSE)
#expect_equal(ap$design_factors, 1, check.environment=FALSE)
expect_equal(ap$labelnames, c("A", "A1", "A2"), check.environment=FALSE)
expect_equal(ap$plot, FALSE, check.environment=FALSE)
})
# 2b ----
test_that("2b", {
design <- check_design(list(), 2, plot = FALSE, check.environment=FALSE)
ap <- faux2ANOVA_design(design, plot = FALSE, check.environment=FALSE)
expect_equal(ap$design, "2b", check.environment=FALSE)
#expect_equal(ap$design_list, c("A1", "A2"), check.environment=FALSE)
#expect_equal(ap$factors, 1, check.environment=FALSE)
expect_equal(ap$mu, c(0,0), check.environment=FALSE)
expect_equal(ap$sd, c(1,1), check.environment=FALSE)
expect_equal(ap$r, 0, check.environment=FALSE)
expect_equal(ap$n, 100, check.environment=FALSE)
#expect_equal(ap$design_factors, 0, check.environment=FALSE)
expect_equal(ap$labelnames, c("A", "A1", "A2"), check.environment=FALSE)
expect_equal(ap$plot, FALSE, check.environment=FALSE)
})
# 2w*2w*2b ----
test_that("2w*2w*2b", {
within <- list(
time = c(night = "night time", day = "day time"),
condition = c(A = "condition A", B = "condition B")
)
between <- list(
pet = c(dog = "has dogs", cat = "has cats")
)
n <- 100
mu <- 1:8
sd <- 1:8
r <- list(
dog = seq(0, .25, .05),
cat = seq(.3, .55, .05)
)
des <- check_design(within, between, n, mu, sd, r, plot = FALSE)
ap <- faux2ANOVA_design(des, plot = FALSE)
expect_equal(ap$design, "2b*2w*2w")
# expect_equal(ap$design_list, c(
# "dog_night_A", "dog_night_B", "dog_day_A", "dog_day_B",
# "cat_night_A", "cat_night_B", "cat_day_A", "cat_day_B"),
# check.environment=FALSE)
# expect_equal(ap$factors, 3, check.environment=FALSE)
expect_equal(ap$mu, 1:8, check.environment=FALSE)
expect_equal(ap$sd, 1:8, check.environment=FALSE)
expect_equal(ap$r, c(0, 0.05, 0.15, 0.10, 0.20, 0.25,
0, 0, 0, 0, 0, 0, 0, 0,
0.30, 0, 0, 0, 0, 0.35, 0.45,
0, 0, 0, 0, 0.40, 0.50, 0.55),
check.environment=FALSE)
expect_equal(ap$n, 100, check.environment=FALSE)
#expect_equal(ap$design_factors, c(0,1,1), check.environment=FALSE)
expect_equal(ap$labelnames, c("pet", "dog", "cat",
"time", "night", "day",
"condition", "A", "B"),
check.environment=FALSE)
expect_equal(ap$plot, FALSE, check.environment=FALSE)
})
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