num_pages: 400
description: Learn how to perform data analysis with the R language and software environment even if you have little or no programming experience. With the tutorials in this hands-on guide you'll learn how to use the essential R tools you need to know to analyze data including data types and programming concepts.The second half of Learning R shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includes a quiz on what you've learned and concludes with exercises most of which involve writing R code.Write a simple R program and discover what the language can doUse data types such as vectors arrays lists data frames and stringsExecute code conditionally or repeatedly with branches and loopsApply R add-on packages and package your own work for othersLearn how to clean data you import from a variety of sourcesUnderstand data through visualization and summary statisticsUse statistical models to pass quantitative judgments about data and make predictionsLearn what to do when things go wrong while writing data analysis code
language: None
title: Learning R: A Step-By-Step Function Guide to Data Analysis
publisher: O'Reilly Media