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.

Relational Operators

Equality

Greater and less than

Compare vectors

Compare matrices

Logical Operators

& and |

& and | (2)

Reverse the result: !

Blend it all together

Conditional Statements

The if statement

Add an else

Customize further: else if

Else if 2.0

Take control!

Conditionals and Control Flow

Chapter 1

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.

While loop

Write a while loop

Throw in more conditionals

Stop the while loop: break

Build a while loop from scratch

For loop

Loop over a vector

Loop over a list

Loop over a matrix

Mix it up with control flow

Next, you break it

Build a for loop from scratch

Loops

Chapter 2

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.

Introduction to Functions

Function documentation

Use a function

Use a function (2)

Use a function (3)

Functions inside functions

Required, or optional?

Writing Functions

Write your own function

Write your own function (2)

Write your own function (3)

Function scoping

R passes arguments by value

R you functional?

R you functional? (2)

R Packages

Load an R Package

Different ways to load a package

Functions

Chapter 3

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.

lapply

Use lapply with a built-in R function

Use lapply with your own function

lapply and anonymous functions

Use lapply with additional arguments

Apply functions that return NULL

sapply

How to use sapply

sapply with your own function

sapply with function returning vector

sapply can't simplify, now what?

sapply with functions that return NULL

Reverse engineering sapply

vapply

Use vapply

Use vapply (2)

From sapply to vapply

The apply family

Chapter 4

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.

Useful Functions

Mathematical utilities

Find the error

Data Utilities

Find the error (2)

Beat Gauss using R

Regular Expressions

grepl & grep

grepl & grep (2)

sub & gsub

sub & gsub (2)

Times & Dates

Right here, right now

Create and format dates

Create and format times

Calculations with Dates

Calculations with Times

Time is of the essence

Utilities

Chapter 5

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.

Introduction to R

Discover conditional statements, loops, and functions to power your own R scripts, and learn to make your R code more efficient using the apply functions.

Intermediate R

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

Associate Data Scientist in R

R Programming Fundamentals

Likely to Recommend

Greater and less than

“Intermediate R”

Exercise instructions

Hands-on interactive exercise

Intermediate R

Chapter 1: Conditionals and Control Flow

Chapter 2: Loops

Chapter 3: Functions

Chapter 4: The apply family

Chapter 5: Utilities

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