Course: Using R Programming Structures
duration: 5 hours |
Language: English (US) |
access duration: 90 days |
Details
R is an open source programming language which is used by many data scientists for data analysis. Its various functions make it a valuable component for static data analysis.
In this course you will learn how to use Control FLow and Looping in R. You will learn how to use statements and Loopings effectively.
In addition, you will learn how to create and invoke functions. The difference between variable names and values is explained and you learn how to work with this.
The course ends with a powerful feature of R, working with object systems. You will learn how to identify different object systems and how to work with them effectively.
Result
By the end of the course, you will have the confidence to work with functions in your R programming projects. You will be able to work with Control Flow and Loopings. In addition, you can work with the different object systems.
Prerequisites
Prior knowledge of R structures is required
Target audience
Software Developer, Business Analyst, Data analist
Content
Using R Programming Structures
Using R Programming Structures: Leveraging R with Control Flow & Looping
- Becoming adept at using R will form a valuable part of your statistical data analysis programming language toolkit. Achieving this involves learning how to utilize the functional programming structures of R.
- This course shows how to use conditional constructs, statements, looping, and functions effectively in R. You'll practice using if, else, and the ifelse functions and the switch construct.
- You'll work with for and while loops. Recognize the next and break statements in R. And examine the repeat loop, which does not have a condition at all and must be used with a break statement.
- You'll then move on to advanced looping using the vapply(), lapply(), and sapply() functions in R.
- By the end of this course, you'll be able to use f R for control flow and looping.
Using R Programming Structures: Functions & Environments
- R supports several powerful features, such as first-class functions, functions on the left-hand side of an assignment, and explicit environment objects that bind variables to values. Taken together, these make R a powerful language for functional programming. This course will show you how to work effectively with functions in R.
- Specifically, you'll learn how to create and invoke functions in R and leverage R support for functional programming and first-class functions.
- You'll recognize how an R environment is a virtual binding between variable names and values. You'll create nested environments and leverage the fact that individual functions have their own local environments.
- You'll also create and invoke closures as well as replacement functions. By the end of the course, you'll have the confidence to work with functions in your R programming projects.
Using R Programming Structures: Object Systems
- R supports not one but multiple alternative object-oriented programming paradigms. These are known as object systems and constitute a relatively underutilized but incredibly powerful feature of the R language. This course will show you how to work effectively with object systems in R.
- You'll begin by identifying different object systems. You'll then examine how the S3 object system allows some features of object-oriented programming, albeit in a very different form from other OOP languages.
- You'll move to leverage the R5 object system, also known as the system of reference classes, to create classes and instantiate objects, specify member variables and methods, and initialize values of member functions.
- You'll also implement inheritance using the system of reference classes.
- When you're done with this course, you'll be able to utilize different object systems in your R programming projects.
Course options
We offer several optional training products to enhance your learning experience. If you are planning to use our training course in preperation for an official exam then whe highly recommend using these optional training products to ensure an optimal learning experience. Sometimes there is only a practice exam or/and practice lab available.
Optional practice exam (trial exam)
To supplement this training course you may add a special practice exam. This practice exam comprises a number of trial exams which are very similar to the real exam, both in terms of form and content. This is the ultimate way to test whether you are ready for the exam.
Optional practice lab
To supplement this training course you may add a special practice lab. You perform the tasks on real hardware and/or software applicable to your Lab. The labs are fully hosted in our cloud. The only thing you need to use our practice labs is a web browser. In the LiveLab environment you will find exercises which you can start immediately. The lab enviromentconsist of complete networks containing for example, clients, servers,etc. This is the ultimate way to gain extensive hands-on experience.
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