The built-in functionality in R is one of the primary reasons R has become the dominant language in numeric and scientific computing. In this course, you will explore a number of important and widely used functions that come with an R installation.
R is an amazing language with a strong ecosystem of powerful functions that lend themselves to producing incredible functionality with only a little bit of typing. The collection of R’s built-in functions is unmatched in numerical and scientific computing. In this course, Applying R Built-in Functions, you will learn foundational knowledge of being able to use the strong ecosystem of R's built-in functions. First, you will learn the basics of using functions. Next, you will discover functions to apply to numeric and character data. Finally, you will explore how to leverage and use the statistical functions in R. When you’re finished with this course, you will have the skills and knowledge of some of the built-in functionality needed to transform data into a needed output quickly and easily.
Course Overview (Music playing) Hello everyone, my name is Chase Dehan, and welcome to my course, Applying R Built-in Functions. I'm currently the lead data scientist at Tesorio and hold a PhD in Economics from the University of Utah. R is an amazing language with a strong ecosystem of powerful functions that lend themselves to producing incredible functionality with only a little bit of typing. The collection of R's built-in functions is unmatched in numerical and scientific computing. First, we'll talk about what a function is, how to call those functions, and what arguments are. Then, we'll go into functions dealing with This will be followed by one of the great reasons to be an R user, a dive into some of the statistical functions. We'll wrap up with a few other helpful functions in R. By the end of this course, you'll have the foundational knowledge to start leveraging the language and be able to explore other functions that may suit your needs. There aren't any prerequisites to starting this course, except for having R installed on your computer. From here, you should feel comfortable diving into advanced functionality with R's great libraries with courses on the Tidyverse, which is a great ecosystem of other packages, as well as Data Visualization with ggplot2. I hope you'll join me on this journey to learn how do use some great functionality with R's built-ins with the Applying R Built-in Functions course here at Pluralsight.