After doing these courses, I feel confident creating professional visualizations and dashboards
Shoebur RahmanProcurement Specialist, Giz Bangladesh
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.The videos contain live transcripts you can reveal by clicking "Show transcript" at the bottom left of the videos.
The course glossary can be found on the right in the resources section.
To obtain CPE credits you need to complete the course and reach a score of 70% on the qualified assessment. You can navigate to the assessment by clicking on the CPE credits callout on the right.
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Start Course for FreeWhat you'll learn
- Apply mathematical and data-structure utility functions (abs(), round(), seq(), rep(), sort(), str()) to transform and inspect R objects.
- Create, convert, and compute with R date and time objects using Sys.Date(), Sys.time(), as.Date(), and as.POSIXct().
- Use lapply(), sapply(), and vapply() to apply functions over lists/vectors and reason about simplification behavior and return types.
- Use regular expression functions (grepl(), grep(), sub(), gsub()) to detect, extract, and replace text patterns in character data.
- Write custom R functions with arguments, defaults, control flow, and safe processing logic using if, else if, and return().
Prerequisites
Curriculum
Course outline
1
Conditionals and Control Flow
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 Operators50 XP
- Equality100 XP
- Greater and less than100 XP
- Compare vectors100 XP
- Compare matrices100 XP
- Logical Operators50 XP
- & and |100 XP
- & and | (2)100 XP
- Reverse the result: !50 XP
- Blend it all together100 XP
- Conditional Statements50 XP
- The if statement100 XP
- Add an else100 XP
- Customize further: else if100 XP
- Else if 2.050 XP
- Take control!100 XP
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.
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.
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.
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.
R
Intermediate R
Course
Complete
