Our next and final Open Lab for Fall 2019 covers Modeling in R. You can learn more about this topic in R for Data Science Chapters 22-25. We look forward to seeing you there!

This week’s R Open Lab will be the first in a two-part introduction to scripting. We will start by taking a look at how you can create your own functions in R. Conditionals (if/then/else) will also be covered. More information … Read more

Once we’ve written some code in R and gotten our results, what’s the best way to share them with an audience? Join us this week for an introduction to R Markdown: a simple way of working in R that allows … Read more

There will be no R Open Labs this week. Enjoy your Fall Break!

This week we will learn how to merge multiple datasets together along with some methods for reshaping our data. To get a head start, you can read R for Data Science Chapters 12 & 13. We hope to see you … Read more

Our next Lab puts a spotlight on text and categorical data as we explore using strings and factors in R. You can read about what we’re going to cover in R for Data Science Chapters 14 and 15. See you … Read more

Apologies, everyone! The last post said we would be covering R Markdown in today’s Lab, when in fact we will be covering Exploratory Data Analysis (EDA). Please see the lesson materials and optional reading materials. Sorry for the confusion!

Once we’ve written some code in R and gotten our results, what’s the best way to share them with an audience? Join us tomorrow for an introduction to R Markdown: a simple way of working in R that allows us … Read more

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