Introduction to teal.data

NEST CoreDev

2022-07-20

Introduction

The teal.data package enables teal application developers to convert their data into a format which can be used inside teal applications.

Quick Start

For creating ADaM clinical trial data please use the cdisc_data and cdisc_dataset functions:

library(teal.data)
library(scda)

# create some dummy data
adsl <- synthetic_cdisc_data("latest")$adsl
adtte <- synthetic_cdisc_data("latest")$adtte

my_data <- cdisc_data(
  cdisc_dataset("ADSL", adsl),
  cdisc_dataset("ADTTE", adtte)
)

For more general data use the teal_data and dataset functions:

my_general_data <- teal_data(
  dataset("iris", iris),
  dataset("mtcars", mtcars)
)

Additional functionality

The teal.data package provides many features to help specify your data:

• Specifying ADaM data
• Specifying MultiAssayExperiment data
• Specifying general relational data
• Specifying relationships between your datasets
• Dynamically loading your data (DDL)
• Pre-processing data
• Pre-processing DDL data
• Checking for reproducibility
• Using python to create your data