Check πŸ›  Docs πŸ“š Code Coverage πŸ“”

Project Status: Active – The project has reached a stable, usable state and is being actively developed. Current Version

This package is used to create the data needed for teal applications. This data can be:

This package provides:


# stable versions

# install.packages("pak")

Alternatively, you might want to use the development version available on r-universe.

# beta versions
install.packages('teal.data', repos = c('https://pharmaverse.r-universe.dev', getOption('repos')))

# install.packages("pak")


To understand how to use this package, please refer to the Introduction to teal.data article, which provides multiple examples of code implementation.

Below is the showcase of the example usage

# quick start for clinical trial data
my_data <- cdisc_data(
  ADSL = example_cdisc_data("ADSL"),
  ADTTE = example_cdisc_data("ADTTE"),
  code = quote({
    ADSL <- example_cdisc_data("ADSL")
    ADTTE <- example_cdisc_data("ADTTE")

# or 

my_data <- within(teal_data(), {
  ADSL <- example_cdisc_data("ADSL")
  ADTTE <- example_cdisc_data("ADTTE")
datanames <- c("ADSL", "ADTTE")
datanames(my_data) <- datanames
join_keys(my_data) <- default_cdisc_join_keys[datanames]
# quick start for general data
my_general_data <- within(teal_data(), {
  iris <- iris
  mtcars <- mtcars
# reproducibility check
data <- teal_data(iris = iris, code = "iris <- mtcars")
#> Error: Code verification failed.
#>  Object(s) recreated with code that have different structure in data:
#>  β€’ iris
# code extraction
iris2_data <- within(teal_data(), {iris2 <- iris[1:6, ]})
#> "iris2 <- iris[1:6, ]"

Getting help

If you encounter a bug or have a feature request, please file an issue. For questions, discussions, and staying up to date, please use the teal channel in the pharmaverse slack workspace.

Stargazers and Forkers

Stargazers over time

Stargazers over time