Paul Love has completed

# Introduction to Writing Functions in R

4 hours
4,350 XP

## Course Description

Being able to write your own functions makes your analyses more readable, with fewer errors, and more reusable from project to project. Function writing will increase your productivity more than any other skill! In this course you'll learn the basics of function writing, focusing on the arguments going into the function and the return values. You'll be writing useful data science functions, and using real-world data on Wyoming tourism, stock price/earnings ratios, and grain yields.

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1. 1

### How to Write a Function

Free

Learn why writing your own functions is useful, how to convert a script into a function, and what order you should include the arguments.

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Why you should use functions
50 xp
Calling functions
100 xp
The benefits of writing functions
50 xp
Converting scripts into functions
50 xp
Converting a script to a function
100 xp
Your first function: tossing a coin
100 xp
Inputs to functions
100 xp
Multiple inputs to functions
100 xp
Y kant I reed ur code?
50 xp
Data or detail?
100 xp
Renaming GLM
100 xp
2. 2

Learn how to set defaults for arguments, how to pass arguments between functions, and how to check that users specified arguments correctly.

3. 3

### Return Values and Scope

Learn how to return early from a function, how to return multiple values, and understand how R decides which variables exist.

4. 4

### Case Study on Grain Yields

Apply your function writing skills to a case study involving data preparation, visualization, and modeling.

In the following tracks

Associate Data ScientistR DeveloperR Programming

Collaborators

Richie Cotton

Data Evangelist at DataCamp

Richie is a Data Evangelist at DataCamp. He has been using R since 2004, in the fields of proteomics, debt collection, and chemical health and safety. He has released almost 30 R packages on CRAN and Bioconductor – most famously the assertive suite of packages – as well as creating and contributing to many others. He also has written two books on R programming, Learning R and Testing R Code.
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