Intro to R and RStudio

Virginia Tech

August 19, 2024

9:00-5:00

Instructors: Mariana Castañeda, Jacob Lahne

Helpers: Nathaniel Porter, Jesse Sadler, Shamar Stewart

This is the workshop template. Delete these lines and use it to customize your own website. If you are running a self-organized workshop or have not put in a workshop request yet, please also fill in this workshop request form to let us know about your workshop and our administrator may contact you if we need any extra information. If this is a pilot workshop for a new lesson, set the `pilot` field to `true` in `_config.yml`. For workshops teaching a lesson in The Carpentries Incubator, remember to uncomment the `incubator_lesson_site`, `incubator_pre_survey`, and `incubator_post_survey` fields in `_config.yml`

General Information

The Carpentries project comprises the Software Carpentry, Data Carpentry, and Library Carpentry communities of Instructors, Trainers, Maintainers, helpers, and supporters who share a mission to teach foundational computational and data science skills to researchers.

Want to learn more and stay engaged with The Carpentries? Carpentries Clippings is The Carpentries' biweekly newsletter, where we share community news, community job postings, and more. Sign up to receive future editions and read our full archive: https://carpentries.org/newsletter/

Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.

For more information on what we teach and why, please see our paper "Good Enough Practices for Scientific Computing".

Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.

Where: 2104 University Mall, Blacksburg, VA OR Online. Get directions with OpenStreetMap or Google Maps.

When: August 19, 2024; 9:00-5:00 Add to your Google Calendar.

Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).

Accessibility: We are committed to making this workshop accessible to everybody. The workshop organizers have checked that:

The room is wheelchair / scooter accessible.
Accessible restrooms are available.

We are dedicated to providing a positive and accessible learning environment for all. We do not require participants to provide documentation of disabilities or disclose any unnecessary personal information. However, we do want to help create an inclusive, accessible experience for all participants. We encourage you to share any information that would be helpful to make your Carpentries experience accessible. To request an accommodation for this workshop, please fill out the accommodation request form. If you have questions or need assistance with the accommodation form please email us.

Glosario is a multilingual glossary for computing and data science terms. The glossary helps learners attend workshops and use our lessons to make sense of computational and programming jargon written in English by offering it in their native language. Translating data science terms also provides a teaching tool for Carpentries Instructors to reduce barriers for their learners.

Contact: Please email ndporter@vt.edu for more information.

Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.

Code of Conduct

Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.

Surveys

Please be sure to complete these surveys before and after the workshop.

Pre-workshop Survey

Post-workshop Survey

Schedule

Day 1

Before starting	Pre-workshop survey
Morning	Data Organization in Spreadsheets
	OpenRefine for Data Cleaning
Afternoon	Introduction to R
Evening	END

Day 2

Morning	Continuation of R: Data Analysis & Visualization
Afternoon	Data Management with SQL
Evening	Post-workshop survey
	END

Setup

To participate in a Data Carpentry workshop, you will need access to software as described below. In addition, you will need an up-to-date web browser.

We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.

The setup instructions for the Data Carpentry Social Sciences workshops (with R) can be found at the workshop overview site.