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---
title: "Introducing {gtreg}: an R package to produce regulatory tables for clinical research"
subtitle: "R in Pharma 2022 Workshop"
editor: source
---
------------------------------------------------------------------------
🗓 November 2, 2022 \| 9:00am - 12:00pm EDT
🏨 Virtual
💥 **FREE** [workshop registration](https://www.eventbrite.com/e/introducing-gtreg-tickets-429262073417)
------------------------------------------------------------------------
# Overview
In this workshop you will learn how to make standard regulatory tables and table
shells for clinical research using the {gtreg} package in R. This includes:
adverse event tables, summary tables with multi-line statistics for continuous variables,
and raw data listings tables with grouped data. Table elements like headers,
footers, or captions are customizable using {gtreg} column selectors, and the
{gt} package can be used to implement final styling tweaks on your table. Lastly,
{gtreg} tables are easily output to various formats, including HTML, PDF, RTF, Word, and Excel.
## Learning objectives
Build and customize tables often required for clinical reporting.
## Is this course for me?
If your answer to any of the following questions is "yes", then this is the right workshop for you.
- Do you make adverse event tables or descriptive statistics tables in R? Or table shells for either?
- Do you want your workflow to be reproducible?
- Are you often frustrated with the immense amount of code required to create great-looking tables in R?
The workshop is designed for those with some experience in R.
It will be assumed that participants can perform basic data manipulation.
Experience with the {tidyverse} and the `%>%` operator is a plus, but not required.
## Prework
Before attending the workshop please have the following installed and configured on your machine.
- Recent version of **R**
- Recent version of **RStudio**
- Most recent release of the [**gtreg**](https://shannonpileggi.github.io/gtreg/) and other packages used in workshop.
```r
instll_pkgs <- c("gtreg", "gtsummary", "tidyverse", "labelled", "usethis")
install.packages(instll_pkgs)
```
- Ensure you can knit R markdown documents
- Open RStudio and create a new Rmarkdown document
- Save the document and check you are able to knit it.
# Instructors
![](images/Shannon_circle.png){style="float:left;padding: 0 10px 0 0;" fig-alt="Headshot of Shannon Pileggi" width="150"}
[**Shannon Pileggi**](https://www.pipinghotdata.com/) (she/her) is a Lead Data Scientist at The Prostate Cancer Clinical Trials Consortium, a frequent blogger, and a member of the R-Ladies Global team. She enjoys automating data wrangling and data outputs, and making both data insights and learning new material digestible.
<br>
<br>
![](images/dan-modified.png){style="float:left;padding: 0 10px 0 0;" fig-alt="Headshot of Daniel D. Sjoberg" width="150"}
[**Daniel D. Sjoberg**](https://www.danieldsjoberg.com/) (he/him) is a Senior Biostatistician at Memorial Sloan Kettering Cancer Center in New York City and a DrPH candidate in Biostatistics at Columbia University. His research interests include adaptive methods in clinical trials, precision medicine, and predictive modeling. He also enjoys R package development, creating many packages available on [CRAN](https://cran.r-project.org/web/packages/), [R-Universe](https://ddsjoberg.r-universe.dev/ui#packages), [GitHub](https://github.com/ddsjoberg), and internally at MSKCC. Daniel is the the winner of the 2021 American Statistical Association (ASA) Innovation in Statistical Programming and Analytics award.