Applying R Built-in Functions
Offered By: Pluralsight
Course Description
Overview
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.
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.
Taught by
Chase DeHan
Related Courses
Statistics OnePrinceton University via Coursera Introduction to Computational Finance and Financial Econometrics
University of Washington via Coursera Curso Práctico de Bioestadística con R
Universidad San Pablo CEU via Miríadax Análisis Estadístico de datos con R
Universidad Católica de Murcia via Miríadax Data Analysis with R
Facebook via Udacity