What Is R Programming?
R Programming is a programming language and environment used for statistical analysis and data mining. It was developed by Robert Gentleman and Ross Ihaka in 1993 at the University of Auckland, New Zealand. The language is named after the first names of its creators (Robert & Ross).
One of the main advantages of R is that it has thousands of open-source packages that extend its functionality. The language and the packages are free, and it can be easily downloaded from the internet. These features make R a popular choice among data scientists and analysts for analysis, visualization, machine learning, predictive modeling, and natural language processing.
R is available on all major platforms, including Windows, Linux, Mac OS, and even on Raspberry Pi. It can be used to work with data from a variety of sources, such as databases, spreadsheets, text files, and web APIs. The language is written in C, C++, and Fortran.
Some of the most popular packages that are available for R include dplyr, ggplot2, lubridate, reshape2, caret, and stringr. The language has a large community of users and developers around the world who constantly work on extending its capabilities by developing new packages and improving old ones.
R is also used in various fields such as healthcare, social sciences, marketing, and sports analytics. Its popularity among data scientists can be attributed to the various features that it offers, such as support for data processing, visualization, and statistical computations.
R is a strong competitor to other statistical programming languages such as SAS, SPSS, and Python. While it may take some time for users to learn the language, its capabilities make an effort worthwhile. If you are interested in learning more about R Programming, you can visit online forums and communities that provide tutorials and resources to help you get started with the language.
How to Start Learning R Programming?
To start learning R Programming, you can visit various online forums and communities that offer tutorials and resources on the language. Some popular resources include:
Codecademy. This is an interactive tutorial for beginners which uses simple examples to teach users about R Programming. It also provides exercises that help users practice the concepts taught in the lessons.
RStudio. This website offers a complete package for learning R Programming, including documentation and tutorials. You can also access books, forums, and blog posts that have been contributed by experienced users of the language. There is also an option to connect with other users on the platform, which helps to start gaining experience by contributing to discussion groups and asking questions.
DataCamp. This is one of the most popular online resources for learning R Programming. It offers interactive tutorials with plenty of exercises to help users master the concepts taught in each lesson. It also has a forum where you can ask questions and start discussions with other members of the community.
R-Bloggers. This website provides blog posts on various topics related to R Programming, including tutorials and resources. It also has a discussion forum where you can connect with other users and ask questions about the language or any of its features.
There are plenty of online resources available for learning R Programming, including books, forums, and blogs. You can visit these websites and start practicing the concepts taught in the tutorials and also interact with other users on popular forums. As you proceed through these resources, you will gain experience with the language and start using it for your analytics projects. If it is a part of your homework, request do my R assignment help from experts online.
Courses to Study R Programming
R Programming Certification Course Overview (Video)
A Complete Guide to R Programming: From Beginner to Expert is a comprehensive guide that teaches you how to start learning R Programming. In this training, you will learn how to install R and start using it for your various data science projects. You will also understand the basic terminology used in the language and use it while performing certain tasks. The course teaches you how to manipulate data sets, explore linear models and perform statistical analysis on the data that you have. It also covers some useful libraries like reshape2, stringr, and lubridate. By the end of this training, you will be able to perform various big data analytics tasks using R Programming.
R Programming Tutorial: Introduction to R (Video)
This introductory tutorial provides a basic overview of R, which is a powerful programming language for performing data analysis. You will also learn about the various features of R, which include its flexibility and support for statistical computing. The course also covers a basic example to help you understand how to write code in R and execute it on your system. By the end of this tutorial, you will find it much easier to start learning R programming.
R Programming Video Tutorial: Data Types (Video)
In this R programming tutorial, you will learn about the various data types in R. It covers both the vector and matrix data types along with other useful features of these objects. The course also teaches you how to use functions that convert one type of object into another to help you perform specific tasks. You will also learn about the different types of R functions and how to use them for your data analysis tasks. By the end of this tutorial, you will have a better understanding of how objects are stored internally in R.
R Programming Tutorial: Variables (Video)
This course teaches you about variables and their role in R programming. You will learn how to define variables in the language and use them for your data analysis tasks. The course also covers different assignment operators that are used for assigning values to variables and functions that can help you perform certain tasks on variables. By the end of this tutorial, you will find it much easier to handle different types of objects in R.
R Programming Tutorial: Lists (Video)
This tutorial covers lists, which are among the most important data types in R programming. You will learn about the different operations supported on list objects and how to modify them as per your requirements. The course also teaches you how to split a single list into multiple parts based on certain conditions. By the end of this tutorial, you will be able to work with list objects in R programming.
