Nothing
#context("Run Examples for boot_t_TOST")
# need hush function to run print through examples
hush = function(code) {
sink("NUL") # use /dev/null in UNIX
tmp = code
sink()
return(tmp)
}
test_that("compare_smd", {
# Errors ----
expect_error(compare_smd())
# One sample
set.seed(7894021)
datx1 = rnorm(20)
datx2 = rnorm(45)
one_boot1 = boot_compare_smd(x1 = datx1,
x2 = datx2)
one_1 = compare_smd(smd1 = one_boot1$df_ci$estimate[2],
n1 = length(datx1),
smd2 = one_boot1$df_ci$estimate[3],
n2 = length(datx2),
paired = TRUE)
expect_error(compare_smd(smd1 = one_boot1$df_ci$estimate[2],
n1 = length(datx1),
smd2 = one_boot1$df_ci$estimate[3],
n2 = c(1,1),
paired = TRUE))
se1 = TOSTER:::se_dz(one_boot1$df_ci$estimate[2], length(datx1))
se2 = TOSTER:::se_dz(one_boot1$df_ci$estimate[3], length(datx2))
one_11 = compare_smd(smd1 = one_boot1$df_ci$estimate[2],
n1 = length(datx1),
se1 = se1,
smd2 = one_boot1$df_ci$estimate[3],
n2 = length(datx2),
se2 = se2,
paired = TRUE)
expect_equal(unname(one_1$statistic),
unname(one_boot1$statistic))
# Paired sample -----
daty1 = rnorm(20)
daty2 = rnorm(45)
one_boot2 = boot_compare_smd(x1 = datx1,
x2 = datx2,
y1 = daty1,
y2 = daty2,
paired = TRUE)
one_2 = compare_smd(smd1 = one_boot2$df_ci$estimate[2],
n1 = length(datx1),
smd2 = one_boot2$df_ci$estimate[3],
n2 = length(datx2),
paired = TRUE)
expect_equal(unname(one_2$statistic),
unname(one_boot2$statistic))
# Two sample -----
one_boot3 = boot_compare_smd(x1 = datx1,
x2 = datx2,
y1 = daty1,
y2 = daty2,
paired = FALSE)
one_3 = compare_smd(smd1 = one_boot3$df_ci$estimate[2],
n1 = c(length(datx1),length(daty1)),
smd2 = one_boot3$df_ci$estimate[3],
n2 = c(length(datx2),length(daty2)),
paired = FALSE)
expect_error(compare_smd(smd1 = one_boot3$df_ci$estimate[2],
n1 = c(length(datx1),length(daty1)),
smd2 = one_boot3$df_ci$estimate[3],
n2 = c(length(datx2),length(daty2),1),
paired = FALSE))
se1 = TOSTER:::se_dz(one_boot1$df_ci$estimate[2], c(length(datx1),length(daty1)))
se2 = TOSTER:::se_dz(one_boot1$df_ci$estimate[3], c(length(datx2),length(daty2)))
one_33 = compare_smd(smd1 = one_boot3$df_ci$estimate[2],
n1 = length(datx1),
se1 = se1,
smd2 = one_boot3$df_ci$estimate[3],
n2 = length(datx2),
se2 = se2,
paired = TRUE)
expect_equal(unname(one_3$statistic),
unname(one_boot3$statistic))
one_3 = compare_smd(smd1 = one_boot3$df_ci$estimate[2],
n1 = c(length(datx1),length(daty1)),
smd2 = one_boot3$df_ci$estimate[3]+.32,
n2 = c(length(datx2),length(daty2)),
paired = FALSE,
TOST = TRUE,
null = .25)
one_31 = compare_smd(smd1 = one_boot3$df_ci$estimate[2],
n1 = c(length(datx1),length(daty1)),
smd2 = one_boot3$df_ci$estimate[3]+.32,
n2 = c(length(datx2),length(daty2)),
paired = FALSE,
alternative = "e",
null = .25)
expect_equal(one_3$p.value,
one_31$p.value)
one_4 = compare_smd(smd1 = one_boot3$df_ci$estimate[2],
n1 = c(length(datx1),length(daty1)),
smd2 = one_boot3$df_ci$estimate[3]+.32,
n2 = c(length(datx2),length(daty2)),
paired = FALSE,
alternative = "m",
null = .25)
one_41 = compare_smd(smd1 = one_boot3$df_ci$estimate[2],
n1 = c(length(datx1),length(daty1)),
smd2 = one_boot3$df_ci$estimate[3]+.32,
n2 = c(length(datx2),length(daty2)),
paired = FALSE,
alternative = "m",
null = c(.25,-.25))
expect_equal(one_4$p.value,
one_41$p.value)
one_5 = compare_smd(smd1 = one_boot3$df_ci$estimate[2],
n1 = c(length(datx1),length(daty1)),
smd2 = one_boot3$df_ci$estimate[3]+.32,
n2 = c(length(datx2),length(daty2)),
paired = FALSE,
alternative = "g",
null = .25)
one_51 = compare_smd(smd1 = one_boot3$df_ci$estimate[2],
n1 = c(length(datx1),length(daty1)),
smd2 = one_boot3$df_ci$estimate[3]+.32,
n2 = c(length(datx2),length(daty2)),
paired = FALSE,
alternative = "l",
null = c(.25))
expect_error(compare_smd(smd1 = one_boot3$df_ci$estimate[2],
n1 = c(length(datx1),length(daty1)),
smd2 = one_boot3$df_ci$estimate[3]+.32,
n2 = c(length(datx2),length(daty2)),
paired = FALSE,
alternative = "l",
null = c(.25,-.25)))
})
test_that("compare_cor",{
# Compare the difference between two correlations based
# on two independent groups:
r1.jk <- .7 # Correlation between age and intelligence measured in group 1
n1 <- 305 # Size of group 1
r2.hm <- .6 # Correlation between age and intelligence measured in group 2
n2 <- 210 # Size of group 2
test_cor = compare_cor(r1 = r1.jk, r2 = r2.hm,
df1 = n1-2, df2 = n2-2)
expect_equal(unname(test_cor$statistic),
1.93, tolerance = 0.0001)
expect_equal(test_cor$p.value,
0.0536, tolerance = 0.0001)
test_cor2 = compare_cor(r1 = r1.jk, r2 = r2.hm,
df1 = n1-2, df2 = n2-2,
alternative = "l")
test_cor3 = compare_cor(r1 = r1.jk, r2 = r2.hm,
df1 = n1-2, df2 = n2-2,
alternative = "g")
test_cor4 = compare_cor(r1 = r1.jk, r2 = r2.hm,
df1 = n1-2, df2 = n2-2,
alternative = "l",
method = "k")
test_cor5 = compare_cor(r1 = r1.jk, r2 = r2.hm,
df1 = n1-2, df2 = n2-2,
alternative = "g",
method = "k")
})
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