R for Dummies

R for Dummies

  • Downloads:7089
  • Type:Epub+TxT+PDF+Mobi
  • Create Date:2021-03-27 11:21:12
  • Update Date:2025-09-06
  • Status:finish
  • Author:Joris Meys
  • ISBN:1119055806
  • Environment:PC/Android/iPhone/iPad/Kindle

Summary

Mastering R has never been easier Picking up R can be tough, even for seasoned statisticians and data analysts。 R For Dummies2nd Edition provides a quick and painless way to master all the R you'll ever need。 Requiring no prior programming experience and packed with tons of practical examples, step-by-step exercises, and sample code, this friendly and accessible guide shows you how to know your way around lists, data frames, and other R data structures, while learning to interact with other programs, such as Microsoft Excel。 You'll learn how to reshape and manipulate data, merge data sets, split and combine data, perform calculations on vectors and arrays, and so much more。

R is an open source statistical environment and programming language that has become very popular in varied fields for the management and analysis of data。 R provides a wide array of statistical and graphical techniques, and has become the standard among statisticians for software development and data analysis。 R For Dummies, 2nd Edition takes the intimidation out of working with R and arms you with the knowledge and know-how to master the programming language of choice among statisticians and data analysts worldwide。


Covers downloading, installing, and configuring R Includes tips for getting data in and out of R Offers advice on fitting regression models and ANOVA Provides helpful hints for working with graphics R For Dummies, 2nd Edition is an ideal introduction to R for complete beginners, as well as an excellent technical reference for experienced R programmers。

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Reviews

Daniel Morgan

This was a very helpful guide to learning th e basics of programming in R。

Reinhardt

A good conceptual overview of R, but not necessarily a good way to learn R。 Gives the highlights of the base R install and touches briefly on some popular packages。 A better choice to learn R would be to get a book specific to the domain you want to use it in, like R for Data Science。 A book like that will use R Studio, which is the only sensible way to use R, and cover the packages that make the most sense for that particular application。 Any introduction to R should cover the ggplot package as A good conceptual overview of R, but not necessarily a good way to learn R。 Gives the highlights of the base R install and touches briefly on some popular packages。 A better choice to learn R would be to get a book specific to the domain you want to use it in, like R for Data Science。 A book like that will use R Studio, which is the only sensible way to use R, and cover the packages that make the most sense for that particular application。 Any introduction to R should cover the ggplot package as that is one of the most used and most powerful tools in the R universe。 Data analysis and visualization is where R is probably the best tool available。 This book cover ggplot only briefly。 Good to read as a supplement to another book on learning R。 But of course the only way to learn R is the same way you learn to ride a bike - by doing it。 。。。more

Ieben

Explains how to code with R in a clear manner but is too repetitive, while coding is all about finding efficient ways to solve problems。 I would suggest using an online learn platform like DataCamp instead, which forces you to write the code you are learning

Démi

As someone with absolutely zero experience with any programming language, this book really helped me get started on understanding what R's about。 I can't say I understood everything perfectly, but it helped me realize that I actually quite enjoy working with R, which is something I never would've thought。 I think the book is quite clear on the majority of subjects, and a good start if you don't know much about programming。 Do realize that most of the book is about understanding R syntax, coding, As someone with absolutely zero experience with any programming language, this book really helped me get started on understanding what R's about。 I can't say I understood everything perfectly, but it helped me realize that I actually quite enjoy working with R, which is something I never would've thought。 I think the book is quite clear on the majority of subjects, and a good start if you don't know much about programming。 Do realize that most of the book is about understanding R syntax, coding, and just how to use the program, and not about statistics。 。。。more

Eduardo

When I committed to learning to code in R, my first thought was "there has to be a 'for Dummies' book on this subject"。 There is and I'm glad that this is the introductory book that I read。 There may be lots of resources out there for the basics of R and this one teaches those basics very well。 I took a few online courses and attended a few workshops while reading this book and I found the book to always be more thorough than the other media I used。 I intend to continue learning more about R and When I committed to learning to code in R, my first thought was "there has to be a 'for Dummies' book on this subject"。 There is and I'm glad that this is the introductory book that I read。 There may be lots of resources out there for the basics of R and this one teaches those basics very well。 I took a few online courses and attended a few workshops while reading this book and I found the book to always be more thorough than the other media I used。 I intend to continue learning more about R and I certain that this well-highlighted and notes-in-margins book will be a constant reference for me。Now, on to Statistical Analysis with R for Dummies。 。。。more

Jessica

3。5 stars。 This was a more helpful introduction to R than my first attempt, an online course that assumed I already knew the basics of R and was mostly about building graphs using ggplot2。 I read this and went, "Ohhhhh, I see why this is useful。" It covers the basics about how R organizes data — the differences between vectors, matrices, data frames, and lists — and then explains how to sort and filter data frames, finally ending with a bit about graphing。 For the most part, they explained the s 3。5 stars。 This was a more helpful introduction to R than my first attempt, an online course that assumed I already knew the basics of R and was mostly about building graphs using ggplot2。 I read this and went, "Ohhhhh, I see why this is useful。" It covers the basics about how R organizes data — the differences between vectors, matrices, data frames, and lists — and then explains how to sort and filter data frames, finally ending with a bit about graphing。 For the most part, they explained the syntax of the code as they went, although there are definitely still pieces I could have used more explanation on。 The biggest difficulty I had with the book is that is was poorly edited。 This was only mildly annoying in the general text of the book, but regularly there was a mismatch between the variables or functions referenced and those actually used in the script。 Near the end it seemed like the copy editor and the technical editor had both given up completely。 At one point the script given was completely wrong, and by the time I turned the page and saw the explanation of the "ifelse" syntax (ifelse was not used at all in the script) I had already run the script and coded the variables backwards。 At another point it references Figure 18-2 and then later references another Figure 18-2 that doesn't exist。The challenge with learning any software from a book is that you aren't forced to solve any problems yourself and may or may not have internalized the lessons to the extent of being able to replicate them。 But as a first step, this was helpful and I think will give more a good base for tackling another online course and eventually using this in my regular work。 。。。more

Aasim Waheed

Dummies books are always good when you want to dabble into a completely new subject; this is another example。 If you are considering learning R, start with this book

SocProf

You know what to expect with Dummies books。 This one is actually a bit more advanced than the usual Dummies book。 I got it because I was taking a class on R programming with one of the authors and read most of it through。 Don't get this if you are really more interested in the statistical part of R。 This is really a book about R PROGRAMMING。 That is, the premise is that R is first a programming language, then, mostly used for statistics。 But 80% of the book is about programming。 Only at the end You know what to expect with Dummies books。 This one is actually a bit more advanced than the usual Dummies book。 I got it because I was taking a class on R programming with one of the authors and read most of it through。 Don't get this if you are really more interested in the statistical part of R。 This is really a book about R PROGRAMMING。 That is, the premise is that R is first a programming language, then, mostly used for statistics。 But 80% of the book is about programming。 Only at the end will you find a couple of chapters on describing data through statistics, then, through plotting。I would not say this is the easiest introduction to R programming but it is still very clear and concise。 。。。more

Rabih

Great book to refer to for quick tip and advise。

Sofia

"R for Dummies" was quite helpful for getting a start with the data exploration in R。 "R for Dummies" was quite helpful for getting a start with the data exploration in R。 。。。more

Amy

This is a great reference book for those who are dipping those toes into the pool of R Programming。 Instead of reading it cover to cover, I keep it beside me while tackling programming homework and extra credit assignments when I get stuck or reach functions I don't understand/remember。 This reference book will come in handy in the future for navigating me through the ins and outs of programming while progressing through Coursera's Data Science Specialization program。 This is written in plain En This is a great reference book for those who are dipping those toes into the pool of R Programming。 Instead of reading it cover to cover, I keep it beside me while tackling programming homework and extra credit assignments when I get stuck or reach functions I don't understand/remember。 This reference book will come in handy in the future for navigating me through the ins and outs of programming while progressing through Coursera's Data Science Specialization program。 This is written in plain English and I couldn't be happier for it! 。。。more

Omer Zeybek

Excellent step by step approach to learning R while both learning coding

Xiao

Great introductory text。 Just enough space and latitude for me to get started。

John Orman

Lots of code snippets listed in the book, but no CD with longer programs written in R, a programming language used for statistical analysis。 I used this book to get a quick learning of R that I was using for a free, online Data Analysis class。 Good text for someone with no knowledge of R or S languages。

Bill

So far so good。 Very simple to follow, and I actually started writing some code on my first night。

Richard

This is a good book for R beginners, even though the structure of the book didn't suit my preferred way of learning。 For learning an unfamiliar programming language, I prefer to learn by being led through basic scenarios by the author。 Learn by doing - picking up some basic knowledge as I go。 Further reading then builds on these basics。 This book isn't structured like that。 It's method is to explain all the parts of R。 There are some work-related tasks at the back, which somewhat pulls the earli This is a good book for R beginners, even though the structure of the book didn't suit my preferred way of learning。 For learning an unfamiliar programming language, I prefer to learn by being led through basic scenarios by the author。 Learn by doing - picking up some basic knowledge as I go。 Further reading then builds on these basics。 This book isn't structured like that。 It's method is to explain all the parts of R。 There are some work-related tasks at the back, which somewhat pulls the earlier material together。 Even so, I really like this book。 The explanations are easy to understand and complete - unlike most of the free documentation and R's built-in help system。 Most of the useful components of R are covered by the book。 Its clear explanations make it one of the better books on R I've seen。 。。。more