Introduction -- Why use R for your statistical work? -- Whom is this book for? -- My own background -- Getting started -- How to run R -- A first R session -- Introduction to functions -- Preview of ...

The three most common open source technologies for writing data science programs are Python, SciLab, and R. Here's how to write program-defined functions in R. There's no clear definition of the term ...

This online data science specialization is designed for anyone interested in learning how to program in R. You will learn the basics of R, including imputing data, performing basic analysis, graphing, ...

The R programming language is an important tool for development in the numeric analysis and machine learning spaces. With machines becoming more important as data generators, the popularity of the ...

Looking to get into statistical programming but lack industry experience? We spoke with several statistical programmers from diverse backgrounds, and one thing became clear—there’s no single path to ...

In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a ...

Of course you could search online yourself for resources on how to program in R, but we thought we'd go ahead and share a few that we find useful. Some will provide content mainly for the very ...

Statistical programming language R has fallen off Tiobe index's list of the 20 most popular languages, having spent three years in the top tier. Tiobe now places R in 21st position and suggests the ...

The generative AI technology powering ChatGPT—OpenAI's GPT-3.5 and GPT-4 LLMs—is available to R users, with a growing collection of packages and apps to choose from. ChatGPT can answer questions about ...