<p>"Transitioning into the tidyverse"</p> <p>• Description:<br/>Most people who learned R before the tidyverse have likely started to feel a nibble of pressure to get aboard the tidyverse train. Sadly a fact of human nature is that once you’re comfortable doing something a certain way, it’s hard to find the motivation to learn a different way of doing something that you already know how to do. While the tidyverse is primarily made up of a set of super useful R packages (ggplot2, dplyr, purrr, tidyr, readr, tibble), it is also a way of thinking about implementing “tidy” data analysis. If you combine tidy thinking with the tidy packages, you will inevitably become a master of tidy analysis. This talk will provide a guide for easing into the tidyverse for new users by first focusing on piping, dplyr, and ggplot2, and then providing short summaries and references for the remaining packages that form the tidyverse (and how they play together). Additional resources for continuing your tidyverse journey will be provided.</p> <p>• Target audience:<br/>People familiar with base R who want to familiarize themselves with the tidyverse, as well as those who have a little experience with the tidyverse and want a big picture of how it all fits together.</p> <p>The talk will be a combination of slides and live-coding, and is based on my two-part blog post on the tidyverse: <a href="http://www.rebeccabarter.com/blog/2019-08-05_base_r_to_tidyverse/" class="linkified">http://www.rebeccabarter.com/blog/2019-08-05_base_r_to_tidyverse/</a> and <a href="http://www.rebeccabarter.com/blog/2019-08-05_base_r_to_tidyverse_pt2/" class="linkified">http://www.rebeccabarter.com/blog/2019-08-05_base_r_to_tidyverse_pt2/</a></p> <p>• Bio:<br/>Rebecca is a Statistics PhD Student at UC Berkeley as well as a Data Science Fellow at the Berkeley Institute for Data Science (BIDS). Her dual passions are explaining “seemingly complicated” concepts to others in plain English, and exploring and presenting the stories that underlie complex datasets. She has dabbled in writing software as the author of the superheat R package for creating beautiful and customizable heatmaps in R. Rebecca also writes blog posts about R and statistics over at her website, www.rebeccabarter.com. When she's not doing R or stats stuff, she can usually be found climbing rocks somewhere, taking photos of beautiful places, or throwing wonky mugs and bowls at the pottery studio!</p> <p>================================================<br/>AGENDA:<br/>5:30pm - 6pm: Help with the setup (install R packages and anything else that is needed for the workshop)<br/>6pm - 6:30pm: Networking<br/>6:30pm - 7:45pm: Workshop<br/>7:45pm - 8pm: Networking</p> <p>================================================<br/>• Important to know<br/>CODE OF CONDUCT<br/>Anyone who violates or has previously violated this community's Code of Conduct will be refused entry, expelled, and/or any other action deemed appropriate by the Organizer, regardless of event registration, meetup membership or other condition.<br/><a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct</a></p> <p>• The mission of R-Ladies is to achieve proportionate representation by encouraging, inspiring, and empowering people of genders currently underrepresented in the R community.</p> <p>We are emphatically queer and trans-friendly.</p> <p>• Refreshments and food will be provided.</p> <p>A huge thank you to Sojern (<a href="https://www.sojern.com/" class="linkified">https://www.sojern.com/</a>) for hosting us!</p>