Nothing
binary_df <- read.csv(
testthat::test_path("testdata", "binary_variables.csv")
)
categorical_df <- read.csv(
testthat::test_path("testdata", "categorical_variables.csv")
)
continuous_df <- read.csv(
testthat::test_path("testdata", "continuous_variables.csv")
)
summary_df <- read.csv(
testthat::test_path("testdata", "summary.csv")
)
empty_df <- data.frame()
ist_id <- IST
ist_id$id <- 1:nrow(IST)
ist_1 <- ist_id[,c(
"id",
"SEX",
"AGE",
"ID14",
"RSBP",
"RATRIAL",
"SET14D")]
ist_2 <- ist_id[,c(
"id",
"HOSPNUM",
"RDELAY",
"RCONSC",
"DSIDEX"
)]
marginal_distributions <- get_marginal_distributions(
IST,
variables = c(
"SEX",
"AGE",
"ID14",
"RSBP",
"RATRIAL",
"SET14D"
)
)
# pharmaversesdtm is only suggested, tests using the multiple table
# data should call skip_if_not_installed("pharmaversesdtm")
if (requireNamespace("pharmaversesdtm", quietly = TRUE)) {
dfs <- list(
dm = pharmaversesdtm::dm,
cm = pharmaversesdtm::cm,
ae = pharmaversesdtm::ae
)
multitable_marginals <- suppressWarnings(
get_marginal_distributions(
dfs,
subject_identifier = "USUBJID"
)
)
}
# Quick and dirty random string function
random_string <- function() {
return(
runif(1, 1000000000000, 9999999999999) %>% round %>% as.character
)
}
# Function to return a new directory in the temporary directory
new_temp_dir <- function() {
.temp_dir <- file.path(
tempdir(),
random_string()
)
dir.create(.temp_dir)
return(
.temp_dir
)
}
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