Automating tasks in R to streamline your workflow
Details
Hello R-Ladies!
Do you look at your script and see the same code repeated but with one word changed? Do you wish your script could run thousands of tasks while you take a break? Or does your script already run all those tasks but take forever? In this workshop, we tackle some automation functions (for, apply, mutate) that will help you to streamline code and time to accomplish repetitive tasks in R.
Dr. Kim Dill-McFarland has been teaching data science since her graduate years, including as a teaching fellow at the U. of British Columbia and as a Carpentries certified instructor. She absolutely loves R, using it every day at work as a bioinformatician at the U. of Washington and at home modelling her new kitten's weight gain. Kim strongly believes in open-source tools and the power coding can bring to scientists of all levels and disciplines.
Workshop details:
Day and time: Dec 10th, 2020 at 6pm
Webinar link: RSVP to view link
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General workshop information:
-Please expect a hands-on session in a friendly and laid-back atmosphere where we all encouraged to learn together.
- All levels!
- Workshop materials: https://github.com/hawn-lab/workshops_UW_Seattle/tree/master/2020.12.10_automation
- Install R: https://mirror.its.sfu.ca/mirror/CRAN/
- Install RStudio (choose the Desktop version): https://www.rstudio.com/products/rstudio/download/#download
- Install tidyverse package with install.packages("tidyverse")
- Install penguin data package with install.packages("palmerpenguins")
- Install multiprocessor packages with install.packages(c("foreach", "doParallel"))
IMPORTANT**
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Have your computer and a steady internet connection ready
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If this is your first R-Ladies event, please take a moment to review our R-Ladies Global code of conduct: https://github.com/rladies/starter-kit/wiki/Code-of-Conduct
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Who is this allowed to attend the workshop?
Everyone is welcome to join us at our events and to be a part of our mission to empower gender minorities with the skills and knowledge to code in one of the top programming language in data science, which is R.
To fulfill this mission we do ask participants to respect a focus on the encouragement and support for women and non-binary people during our events.
See you there!
Lisa, Jasmine, Lucia, Zubia, and Yuka
