Getting Started

Check out the introduction slides to review the goals and context for the event! If you’re interested in learning more, links to relevant papers are included in the Useful Links section below. There are a couple ways that you can get started.

  1. If you have R already installed and ready to go, clone or download this repository to your computer and open the .Rmd files with RStudio or any other editor that you’re comfortable using.
  2. If you don’t have R installed on your computer, create a free account with RStudio Cloud, click the blue dropdown arrow next to [New Project], select [New Project from Git Repo], and enter this GitHub repo URL:

Free accounts on RStudio Cloud have unlimited access to cloud computing until August 3, 2020! Unfortunately, after that, free accounts will be limited to 15 hours per month.

Reinforcement Questions

After going over the introductory slides and presentation, work through these reinforcement questions to make sure you and your team has a good understanding of replicability and the problem.

Main Analysis Template


Data files are included under the data folder.


Tutorials are included under the tutorial folder.

Each tutorial contains text and code that explores various aspects of data science, replicability, and reproducibility. Tutorial 0a provides a gentle introduction to R for those with limited programming experience, and Tutorial 0b introduces some of the main functions in the dplyr and tidyr packages. Tutorials 1a and 1b get us started with exploring the two original datasets from the CCLE and GDSC studies, rawPharmacoData.rds and summarizedPharmacoData.rds. Tutorials 2a and 2b dig deeper into specific issues that can impact replicability and provide ideas for things to look into for this Replicathon. Finally, the Supplementary Tutorials provide more details that are useful but not immediately necessary for getting started.

Supplementary Tutorials

Code to generate data files (You do not need to use this)

For full reproducibility, this is the script to generate the RDS files. This step has already been done for you, and the data files should be available as part of this repository without running the script.


Code of Conduct

To ensure a safe, enjoyable, and friendly experience for everyone who participates, we have a strict code of conduct that all participants are expected to follow.