# Number of patients to simulate
n <- 20
# Simulate a disposition table
set.seed(8675309)
patient_disposition <- dplyr::tibble(
subject = sample(111111:999999, n, replace = FALSE) %>%
as.character(),
weeks_on_study = runif(n, min = 0, max = 100),
cohort = sample(c("Cohort A", "Cohort B"), n, replace = TRUE),
# For patients who have been on study for sufficient time,
# assign either Active (indicated by NA) or Completed; others
# are assigned standard early stopping phrases
reason_off_study = case_when(
weeks_on_study < 75 ~ sample(
c(
"Adverse event", "Withdrawal by subject",
"Physician decision", "Disease progression"
),
n, replace = TRUE
),
weeks_on_study >= 75 ~ sample(
c("Completed", NA_character_), n, replace = TRUE
)
),
# Create a baseline characteristic
prior_drug = sample(c("Yes", "No"), n, replace = TRUE)
) %>%
# Create an indicator for partial response for some patients
group_by(subject) %>%
mutate(
partial_response = sample(
c(runif(1, min = 0, max = weeks_on_study), NA_real_),
size = 1
)
) %>%
ungroup()
usethis::use_data(patient_disposition, overwrite = TRUE)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.