Learning R: A Step-by-Step Function Guide to Data Analysis 1st Edition by Richard Cotton (PDF)

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, youâ??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 youâ??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

User’s Reviews

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐If you want to start learning R, there several things you may want to consider. There are two kind of skills you want to cultivate: programming skills and actual data analysis ones. In principle, you can learn techniques alone, but then your creativity as a data analyst will be limited and probably you will end up writing poor code. Alternatively focusing only on coding may make you a good programmer, but it will be hard to get started on putting your skill into practice. Any book should strike a tradeoff in where to stand between training you in these two topics. Cotton’s book try its best in this and does a pretty good job. The first part of the book, covering the intricacies of the language is the one I found most useful. I has all sort of good advise and explanations on the data structures and functions you can use. It is appropriately applied – not just about computation and programming, but actually links how they are applied in the actual data analysis. In this sense, this was the most original and interesting part of the book. The second part of the book, covering data analysis techniques was more conventional but still good. As such, there are perhaps better books if you are interested on any of the two sides (“machine learning for hackers” is very good to learn how to apply the techniques and seeing them in action; “Introduction to statistical learning” is a bit more theoretical; Advanced R or The Art of R Computing are unbeatable about teaching the language, although a bit dray).The approach of Cotton is really instructive. He is friendly, he write well in a easygoing fashion and the book is full of useful tips that helped me to understand how the language merge with the technique.The book is not encyclopedic, it does not cover every single topic (there are better books for that, Matloff and Wickhams books are better). Instead, it does a really good job as a tutorial that walks you through many topics that are somehow not covered in many other books -the chapter that covers factors and dates is perhaps not something you will deal with everyday, but very useful if you have to.Overall, I think the book teaches you really well how to play with the R language.A very final remark. I’ve seen other comments that suggest this is an introductory book. The book hardly takes things from scratch. If you have never written a line of code, you are likely to find it, particularly the first part, pretty dry. It is more an intermediate text, otherwise you will find yourself wondering why you need to know all these pages about data structures if you just want to learn to load a csv file and run a regression.

⭐arrived as described and on time.

⭐Very good book.. easy to read and follow.. well worth the price if you’d like to work with R, and I have a few R books already. I really like how he gives his opinion and takes a stand on whether to use some functions over others.. i only wish he didn’t spend time talking about the worse way to do it… just give me the best.. which he eventually does.

⭐I don’t have a programming background, but I want to learn R, so I use this book as a supplement to an online course. It’s a decent introduction to R, but I will have to buy another book that goes into more detail— I rented “The Book of R” from the library, and I wish I had bought that instead of this O’Reilly book.

⭐This book is tremendous. It takes the reader through R without getting bogged down in an explanation of statistics and data modeling. It even includes chapters at the end on writing your own packages.

⭐good book but not as applied as I’d like; it would be nice to have specific programming problems and their solutions too.

⭐A gift so no personal opinion. Seems well liked.

⭐Well written and easy to follow. I very much appreciated the questions at the end of each segment testing ones ability to practice the material. I would highly recommend this book

⭐Excellent book, especially if you are completely new to R. In hind-sight, I would make this the first book to read about R before moving to other books (no single book on R will ever be sufficient, in my opinion) The exercises are a bonus.

⭐Very useful book, very well written and not boring. It will be a precious guide to your first experience in R. If you buy it because you are looking for some statistical theory you are in the wrong place.

⭐Zeigt die relevante R-Programmierungstechniken und Plots (ggplot2) für Einsteiger in einer gut verständlichen Art und einer logischen Reihenfolge. Wer keine/geringe Vorkenntnisse in R hat sollte damit starten. Sobald man das geschafft hat, wird man sich – was R als Programmiersprache betrifft – zu helfen wissen.Good read!

⭐You might find this book confusing and dry if you don’t have any programming experiences, even though it says no programming experience is necessary. Explanations on codes and definition are not deep enough, making it hard to grasp the concept.

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