Interactive Course

# Intermediate R

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

• 6 hours
• 14 Videos
• 81 Exercises
• 315,677 Participants
• 6,950 XP

### Course Description

The intermediate R course is the logical next stop on your journey in the R programming language. In this R training you will learn about conditional statements, loops and functions to power your own R scripts. Next, you can 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 the R programming language, data structure manipulations and times and dates. This R tutorial will allow you to learn R and take the next step in advancing your overall knowledge and capabilities while programming in R.

1. 1

#### Conditionals and Control Flow

Free

To be TRUE or not be TRUE, that's the question. In this chapter you'll learn about relational operators to see how R objects compare and logical operators to combine logicals. Next, you'll use this knowledge to build conditional statements.

2. #### Functions

Functions are an extremely important concept in almost every programming language; R is not different. After learning what a function is and how you can use one, you'll take full control by writing your own functions.

3. #### Utilities

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

4. #### 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 all about them in this chapter.

5. #### The apply family

Whenever you're using a for loop, you might want to revise your code and 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 its variants sapply and vapply.

1. 1

#### Conditionals and Control Flow

Free

To be TRUE or not be TRUE, that's the question. In this chapter you'll learn about relational operators to see how R objects compare and logical operators to combine logicals. Next, you'll use this knowledge to build conditional statements.

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 all about them in this chapter.

3. #### Functions

Functions are an extremely important concept in almost every programming language; R is not different. After learning what a function is and how you can use one, you'll take full control by writing your own functions.

4. #### The apply family

Whenever you're using a for loop, you might want to revise your code and 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 its variants sapply and vapply.

5. #### Utilities

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

### What do other learners have to say?

“I've used other sites, but DataCamp's been the one that I've stuck with.”

Devon Edwards Joseph

Lloyd's Banking Group

“DataCamp is the top resource I recommend for learning data science.”

Louis Maiden

“DataCamp is by far my favorite website to learn from.”

Ronald Bowers

Decision Science Analytics @ USAA

##### Filip Schouwenaars

Data Science Instructor at DataCamp

Filip is the passionate developer behind several of DataCamp's interactive courses, covering both R and Python. Under the motto 'Eat your own dog food', he has used the techniques DataCamp teaches its students to perform data analysis for DataCamp. Filip holds degrees in Electrical Engineering and Artificial Intelligence.

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