#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") })