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Intermediate R

4.5+
120 reviews
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Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.

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Course Description

Intermediate R is the next stop on your journey in mastering the R programming language. In this R training, you will learn about conditional statements, loops, and functions to power your own R scripts. Next, make your R code more efficient and readable using the apply functions. Finally, the utilities chapter gets you up to speed with regular expressions in R, data structure manipulations, and times and dates. This course will allow you to take the next step in advancing your overall knowledge and capabilities while programming in R.
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In the following Tracks

Certification Available

Associate Data Scientist in R

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R Programming Fundamentals

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  1. 1

    Conditionals and Control Flow

    Free

    In this chapter, you'll learn about relational operators for comparing R objects, and logical operators like "and" and "or" for combining TRUE and FALSE values. Then, you'll use this knowledge to build conditional statements.

    Play Chapter Now
    Relational Operators
    50 xp
    Equality
    100 xp
    Greater and less than
    100 xp
    Compare vectors
    100 xp
    Compare matrices
    100 xp
    Logical Operators
    50 xp
    & and |
    100 xp
    & and | (2)
    100 xp
    Reverse the result: !
    50 xp
    Blend it all together
    100 xp
    Conditional Statements
    50 xp
    The if statement
    100 xp
    Add an else
    100 xp
    Customize further: else if
    100 xp
    Else if 2.0
    50 xp
    Take control!
    100 xp
  2. 2

    Loops

    Loops can come in handy on numerous occasions. While loops are like repeated if statements, the for loop is designed to iterate over all elements in a sequence. Learn about them in this chapter.

    Play Chapter Now
    While loop
    50 xp
    Write a while loop
    100 xp
    Throw in more conditionals
    100 xp
    Stop the while loop: break
    100 xp
    Build a while loop from scratch
    100 xp
    For loop
    50 xp
    Loop over a vector
    100 xp
    Loop over a list
    100 xp
    Loop over a matrix
    100 xp
    Mix it up with control flow
    100 xp
    Next, you break it
    100 xp
    Build a for loop from scratch
    100 xp
  3. 3

    Functions

    Functions are an extremely important concept in almost every programming language, and R is no different. Learn what functions are and how to use them—then take charge by writing your own functions.

    Play Chapter Now
    Introduction to Functions
    50 xp
    Function documentation
    100 xp
    Use a function
    100 xp
    Use a function (2)
    100 xp
    Use a function (3)
    100 xp
    Functions inside functions
    100 xp
    Required, or optional?
    50 xp
    Writing Functions
    50 xp
    Write your own function
    100 xp
    Write your own function (2)
    100 xp
    Write your own function (3)
    100 xp
    Function scoping
    50 xp
    R passes arguments by value
    50 xp
    R you functional?
    100 xp
    R you functional? (2)
    100 xp
    R Packages
    50 xp
    Load an R Package
    100 xp
    Different ways to load a package
    50 xp
  4. 4

    The apply family

    Whenever you're using a for loop, you may want to revise your code to see whether you can use the lapply function instead. Learn all about this intuitive way of applying a function over a list or a vector, and how to use its variants, sapply and vapply.

    Play Chapter Now
    lapply
    50 xp
    Use lapply with a built-in R function
    100 xp
    Use lapply with your own function
    100 xp
    lapply and anonymous functions
    100 xp
    Use lapply with additional arguments
    100 xp
    Apply functions that return NULL
    50 xp
    sapply
    50 xp
    How to use sapply
    100 xp
    sapply with your own function
    100 xp
    sapply with function returning vector
    100 xp
    sapply can't simplify, now what?
    100 xp
    sapply with functions that return NULL
    100 xp
    Reverse engineering sapply
    50 xp
    vapply
    50 xp
    Use vapply
    100 xp
    Use vapply (2)
    100 xp
    From sapply to vapply
    100 xp
  5. 5

    Utilities

    Mastering R programming is not only about understanding its programming concepts. Having a solid understanding of a wide range of R functions is also important. This chapter introduces you to many useful functions for data structure manipulation, regular expressions, and working with times and dates.

    Play Chapter Now
    Useful Functions
    50 xp
    Mathematical utilities
    100 xp
    Find the error
    100 xp
    Data Utilities
    100 xp
    Find the error (2)
    100 xp
    Beat Gauss using R
    100 xp
    Regular Expressions
    50 xp
    grepl & grep
    100 xp
    grepl & grep (2)
    100 xp
    sub & gsub
    100 xp
    sub & gsub (2)
    50 xp
    Times & Dates
    50 xp
    Right here, right now
    100 xp
    Create and format dates
    100 xp
    Create and format times
    100 xp
    Calculations with Dates
    100 xp
    Calculations with Times
    100 xp
    Time is of the essence
    100 xp
For Business

GroupTraining 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more

In the following Tracks

Certification Available

Associate Data Scientist in R

Go To Track

R Programming Fundamentals

Go To Track

prerequisites

Introduction to R
Filip Schouwenaars HeadshotFilip Schouwenaars

Data Science Instructor at DataCamp

Filip is the passionate developer behind several of DataCamp's most popular Python, SQL, and R courses. Currently, Filip leads the development of DataCamp Workspace, a collaborative data science notebook. Under the motto 'Eat your own dog food', he uses Workspace to understand how users learn on and interact with DataCamp. Filip holds degrees in Electrical Engineering and Artificial Intelligence.
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Don’t just take our word for it

*4.5
from 120 reviews
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  • Daniel N.
    about 1 month

    Data Camp made coding Intermediate R exciting.

  • Michael M.
    about 1 month

    Great. There were two things that I think could have been better explained: 1. In the section of the course where it is explaining grep and replacement, I have no idea what ".*\\s([0-9]+)\\snomination.*$" is doing, particular the [0-9]+. This section introduces a lot of regex characters very quickly all at once without much or any explanation or individual examples. 2. The sapply() function is very cool and I really liked seeing it output a table with named columns and rows where one function had multiple outputs. However, I feel like it would be useful to have more practice creating functions that have multiple outputs first.

  • Alexa R.
    about 1 month

    Loved the course, and recommended DataCamp to my friends and family

  • Jonathan A.
    about 2 months

    Extremely informative course. I loved it

  • Augusto P.
    3 months

    I couldn't tell because so far it's all theory and no real-life excercises. I mean, an actual project I can share afterwards

"Data Camp made coding Intermediate R exciting."

Daniel N.

"Loved the course, and recommended DataCamp to my friends and family"

Alexa R.

"Extremely informative course. I loved it"

Jonathan A.

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