5.0 / 5
We will cover the following tasks in 34 minutes:
The Select function is your friend. You will learn how to quickly slice your data frames to create new ones using this function.
It’s time to dice. Do you want to quickly know which rows meet a certain criteria? This is your function. Join me and we will go over it.
This is not plumbing. Nope. The pipe is the glue that keeps the dplyr verbs together. Use this for neat and efficient code.
Oh you want to arrange your data in descending order. Look no further than arrange. I will walk you through this bad boy.
This is my favorite. Think pivot table in Excel on Steroids. I’ll walk you through its magic. By the way, this lesson is a two’fer since I throw in group_by as well. Join me and I’ll show you all about this wicked great verb combo.
Last but not least, mutate will help you create new variables – and much quicker than base R ways.
In this section we will discuss the dplyr cheat sheet on RStudio’s website. We will talk about course objectives. We will then go over the Virtual Machine and I will tell you a little about myself.
About the Host
I am a R enthusiast, hiker, and amateur astronomer. My favorite hike is located in Mt. Rainier National Park, my favorite Deep Sky Object is Alberio, and my favorite R package is dplyr (since I use it everyday). I am single too. Maybe because I spend too much time playing? I have a dog named Coog (Lllasa Apso), who would rather be outside than inside, which means I have to take him on a lot of walks. I work as a Data Analyst/Financial Analyst for a Metals Co. located in Seattle, WA. I have been in my current position for 4 years. My hope is that I can help you, even if its with my enthusiasm. Yes you can learn R and the Rhyme Interface will help you. But. You also must take what you learn and practice, practice, practice. So... Let's get after it. See you soon.