This week’s R Open Labs will cover data transformations! Lesson 3 will teach you how to manipulate data in R. You can get a head start by reading R for Data Science Chapter 5. We look forward to seeing you … Read more

Hello, everyone! Our next R Open Lab will focus on basic workflows. We will cover creating projects in R, and how to import, explore and save our data. For those of you who are new to object-oriented programming, we will … Read more

Welcome! We are excited to kick off the fall semester with our first lab: Introduction to R. Join us at the Research Hub on the second floor of the Davis Library Thursdays, 2:00-3:30pm, starting September 5th.

For the final Open Lab of Spring 2019, Nuvan will be showing us linear regression and simulations. To get a head start, take a look at R For Data Science Chapter 22. We hope to see you there!

Welcome back! We hope you all enjoyed your spring break. For our next lab, Lorin will introduce us to working with loops and error handling in R. See you Thursday! These topics are covered in R For Data Science Chapter … Read more

There will be no R Open Lab during the week of Spring Break. See you next week!

So far we’ve been doing a lot of data cleaning, transformation and analysis, but now it’s time to start taking a look at the different scripting techniques available in R. Tomorrow, Lorin will walk us through writing functions and using … Read more

Today, Nuvan will guide you through working with text and categorical data while exploring strings and factors. This is also covered in R for Data Science Chapters 14 and 15.

Now that we’ve got some practice importing and cleaning data in R, it’s time to move on to the next step: analysis. This week, Lorin will show you how to use EDA techniques in R to discover patterns in your … Read more

Do you ever wonder how we are able to present R code, plots, and formatted text all together on a single web page for our weekly lessons? The answer is R Markdown. This week, Nuvan will show you how to … Read more