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R For Dummies
Wollen Sie auch die umfangreichen M�glichkeiten von R nutzen, um Ihre Daten zu analysieren, sind sich aber nicht sicher, ob Sie mit der Programmiersprache wirklich zurechtkommen? Keine Sorge - dieses Buch zeigt Ihnen, wie es geht - selbst wenn Sie keine Vorkenntnisse in der Programmierung oder Statistik haben. Andrie de Vries und Joris Meys zeigen Ihnen Schritt f�1/4r Schritt und anhand zahlreicher Beispiele, was Sie alles mit R machen k�nnen und vor allem wie Sie es machen k�nnen. Von den Grundlagen und den ersten Skripten bis hin zu komplexen statistischen Analysen und der Erstellung aussagekr�ftiger Grafiken. Auch fortgeschrittenere Nutzer finden in diesem Buch viele Tipps und Tricks, die Ihnen die Datenauswertung erleichtern.
406 pages, Paperback
Published June 25, 2012
140 people are currently reading
267 people want to read
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Displaying 1 - 16 of 16 reviews
February 8, 2013
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.
March 8, 2019
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.
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.
April 26, 2015
"R for Dummies" was quite helpful for getting a start with the data exploration in R.
May 9, 2020
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.
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.
June 24, 2019
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.
Now, on to Statistical Analysis with R for Dummies.
September 19, 2019
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.
November 15, 2019
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
January 3, 2021
This was a very helpful guide to learning th e basics of programming in R.
July 8, 2023
Will make you cry and feel stupid.
October 18, 2014
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.
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.
January 20, 2015
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!
Currently reading
December 29, 2012So far so good. Very simple to follow, and I actually started writing some code on my first night.
September 22, 2013
Great introductory text. Just enough space and latitude for me to get started.
August 17, 2015
Great book to refer to for quick tip and advise.
July 17, 2016
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
September 23, 2014
Excellent step by step approach to learning R while both learning coding
Displaying 1 - 16 of 16 reviews