Introduction to R

Welcome to R:

Welcome to R. Let’s begin!

Ahoy! We’re excited for you to begin your learning journey with a language designed for data nerds! People who are passionate about the intersection of numbers, data, analysis, and code make up the R community. We’ll go over some basic R syntax in this lesson, as well as how R classifies data types so that it can mathematically process them in analysis.

In 1993, Ross Ihaka and Robert Gentleman created R, a programming language and free software. So, R includes a large number of statistical and graphical methods. Machine learning algorithms, linear regression, time series, and statistical inference are just a few of the topics covered. The majority of R libraries are written in R, but C, C++, and Fortran codes are preferred for heavy computational tasks.

But first, let’s talk about how R differs from the majority of programming languages. Unlike other languages, the majority of beginners who want to learn R want to analyse data. R is thus more of a data analysis tool than a programming language for creating software applications. We’ll teach you R in the same way that we’ll teach you how to use a new tool.

What is the purpose of the tool? R is an excellent tool for performing statistics and other types of data analysis. Scientists created it for statistical computing, and a community of specialised packages has sprung up around it.

Some housekeeping: you’ll be doing all of your work in R-notebook files for the next few exercises. You’ll notice the. The Rmd file format allows you to write code blocks and view the results as a webpage. The blocks will wrap inside the following syntax:

This is standard markdown text, which will be rendered as plain text.
` ` `{r}
8 + 8 # R code
` ` `

This format enables you to group code blocks with similar logic, view their output, and then render everything as an HTML file that can be viewed as a static webpage in a browser. In the data science industry, the .Rmd format is the preferred standard.

Note: So, this lesson assumes no prior coding experience and will introduce programming concepts as needed to continue using R as a tool for analysis.

Helpful Tools:

Here are some useful tools to help you along your journey!

Setting up an IDE (Integrated Development Environment) can be difficult for beginners. The Online Compiler will enable you to run your code inside your browser without the need to install an IDE. If you need a more detailed explanation of a specific topic, the best place to find answers is in the Official Documentation.

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