test_that("Compare estimate_mdiff_2mixed to statpsych::ci.2x2.mean.mixed, Example", {
# example_data <- data.frame(
# pretest = c(
# 19, 18, 19, 20, 17, 16, 16, 10, 12, 9, 13, 15
# ),
# posttest = c(
# 18, 19, 20, 17, 20, 16, 19, 16, 16, 14, 16, 18
# ),
# condition = as.factor(
# c(
# rep("Control", times = 6),
# rep("Treated", times = 6)
# )
# )
# )
#
# estimates <- esci::estimate_mdiff_2x2_mixed(
# data = example_data,
# outcome_variable_level1 = pretest,
# outcome_variable_level2 = posttest,
# grouping_variable = condition,
# repeated_measures_name = "Time"
# )
#
# plot_mdiff(estimates$interaction)
y11 <- c(18, 19, 20, 17, 20, 16)
y12 <- c(19, 18, 19, 20, 17, 16)
y21 <- c(19, 16, 16, 14, 16, 18)
y22 <- c(16, 10, 12, 9, 13, 15)
myconf_level <- 0.95
mydf <- data.frame(
posttest = c(y11, y21),
pretest = c(y12, y22),
Between = as.factor(
c(
rep("B1", times = length(y11)),
rep("B2", times = length(y21))
)
)
)
myconfs <- c(0.90, 0.95, 0.99)
for (myconf_level in myconfs) {
estimates <- esci::estimate_mdiff_2x2_mixed(
data = mydf,
outcome_variable_level1 = "pretest",
outcome_variable_level2 = "posttest",
grouping_variable = "Between",
repeated_measures_name = "Rmeasures",
conf_level = myconf_level
)
# Main effect of Between-Subjects Factor
estimate <- estimates$main_effect_A
mysp <- as.list(
as.data.frame(
statpsych::ci.2x2.mean.mixed(
alpha = 1 - myconf_level,
y11 = y21,
y12 = y22,
y21 = y11,
y22 = y12
)
)[3, ]
)
testthat::expect_s3_class(estimate, "esci_estimate")
testthat::expect_equal(estimate$es_mean_difference$effect_size[3], mysp$Estimate)
testthat::expect_equal(estimate$es_mean_difference$LL[3], mysp$LL)
testthat::expect_equal(estimate$es_mean_difference$UL[3], mysp$UL)
testthat::expect_equal(estimate$es_mean_difference$SE[3], mysp$SE)
testthat::expect_equal(estimate$es_mean_difference$df[3], mysp$df)
testthat::expect_equal(estimate$es_mean_difference$SE[3], mysp$SE)
mytest <- esci::test_mdiff(estimate)
testthat::expect_equal(mytest$point_null$t, mysp$t)
testthat::expect_equal(mytest$point_null$p, mysp$p)
# Main effect of B
estimate <- estimates$main_effect_B
mysp <- as.list(
as.data.frame(
statpsych::ci.2x2.mean.mixed(
alpha = 1 - myconf_level,
y11 = y21,
y12 = y22,
y21 = y11,
y22 = y12
)
)[2, ]
)
testthat::expect_s3_class(estimate, "esci_estimate")
testthat::expect_equal(estimate$es_mean_difference$effect_size[3], mysp$Estimate)
testthat::expect_equal(estimate$es_mean_difference$LL[3], mysp$LL)
testthat::expect_equal(estimate$es_mean_difference$UL[3], mysp$UL)
testthat::expect_equal(estimate$es_mean_difference$SE[3], mysp$SE)
testthat::expect_equal(estimate$es_mean_difference$df[3], mysp$df)
testthat::expect_equal(estimate$es_mean_difference$SE[3], mysp$SE)
mytest <- esci::test_mdiff(estimate)
testthat::expect_equal(mytest$point_null$t, mysp$t)
testthat::expect_equal(mytest$point_null$p, mysp$p)
# Interaction
estimate <- estimates$interaction
mysp <- as.list(
as.data.frame(
statpsych::ci.2x2.mean.mixed(
alpha = 1 - myconf_level,
y11 = y21,
y12 = y22,
y21 = y11,
y22 = y12
)
)[1, ]
)
testthat::expect_s3_class(estimate, "esci_estimate")
testthat::expect_equal(estimate$es_mean_difference$effect_size[3], mysp$Estimate)
testthat::expect_equal(estimate$es_mean_difference$LL[3], mysp$LL)
testthat::expect_equal(estimate$es_mean_difference$UL[3], mysp$UL)
testthat::expect_equal(estimate$es_mean_difference$SE[3], mysp$SE)
testthat::expect_equal(estimate$es_mean_difference$df[3], mysp$df)
testthat::expect_equal(estimate$es_mean_difference$SE[3], mysp$SE)
mytest <- esci::test_mdiff(estimate)
testthat::expect_equal(mytest$point_null$t, mysp$t)
testthat::expect_equal(mytest$point_null$p, mysp$p)
}
})
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.