Nothing
# Test all tables for MMRMT01.
library(dplyr)
library(tern)
library(broom)
mmrm_results <- fit_mmrm(
vars = list(
response = "FEV1",
covariates = c("SEX", "FEV1_BL"),
id = "USUBJID",
arm = "ARMCD",
visit = "AVISIT"
),
data = mmrm_test_data,
cor_struct = "unstructured",
weights_emmeans = "proportional"
)
testthat::test_that("LS means table is produced correctly", {
df <- broom::tidy(mmrm_results)
result <- basic_table() %>%
split_cols_by("ARMCD", ref_group = mmrm_results$ref_level) %>%
add_colcounts() %>%
split_rows_by("AVISIT") %>%
summarize_lsmeans(
show_relative = "increase",
# Note: We are using less precise formats here to avoid spurious differences
# between systems while still checking overall structure.
.formats = c(
n = "xx.",
adj_mean_se = sprintf_format("%.1f (%.1f)"),
adj_mean_ci = "(xx.x, xx.x)",
diff_mean_se = sprintf_format("%.1f (%.1f)"),
diff_mean_ci = "(xx.x, xx.x)",
change = "xx.%",
p_value = "xx.xx"
)
) %>%
build_table(df, alt_counts_df = mmrm_test_data)
expect_snapshot(result)
})
testthat::test_that("Fixed effects table is produced correctly", {
result <- as.rtable(mmrm_results, type = "fixed", format = "xx.xx")
testthat::expect_snapshot(result)
})
testthat::test_that("Covariance matrix table is produced correctly", {
result <- as.rtable(mmrm_results, type = "cov", format = "xx.xx")
testthat::expect_snapshot(result)
})
testthat::test_that("Model diagnostics table is produced correctly", {
result <- as.rtable(mmrm_results, type = "diagnostic", format = "xx.xx")
testthat::expect_snapshot(result)
})
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