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Introduction to Writing Functions in R

Take your R skills up a notch by learning to write efficient, reusable functions.

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4 Hours14 Videos52 Exercises26,710 Learners
4350 XP

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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.

  1. 1

    How to write a function


    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

In the following tracks

Data ScientistR ProgrammerR Programming


Marianna Lamnina
Richie Cotton Headshot

Richie Cotton

Curriculum Architect at DataCamp

Richie is a Learning Solutions Architect 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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Lloyds Banking Group

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Harvard Business School

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Decision Science Analytics, USAA