Download Ebook R For Dummies
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R For Dummies
Download Ebook R For Dummies
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From the Back Cover
Learn to: Use R for data analysis and processing Write functions and scripts for repeatable analysis Create high-quality charts and graphics Perform statistical analysis and build models All the R you need for statistical and data analysis, explained in plain English! Do you have to use R on the job, but you don't know much about programming? Relax! Here's a quick and painless guide to using R for all sorts of statistical and data analysis. Through real-world examples and step-by-step exercises you'll learn how to reshape and manipulate data, perform calculations, create graphical representations, and more. Get started with R — acquire and install R, learn what makes R unique, compare code editors, and write your first R script Play well with others — see how R interacts with Excel and other programs and why statisticians and data analysts favor it R ABCs — make your code clear and explore functions and arguments A calculating side — take advantage of R's calculating power, working with numbers, infinity, missing values, mathematical functions, and vectors Get textual — use character vectors for text data, manipulate text, and work with strings and factors Data tells a tale — manipulate and process data using subsets, merge data from different sources, sort it, and summarize using statistical techniques Go graphic — present your data visually using plots and lattice graphics Open the book and find: User packages that extend R Tips for getting data into and out of R How R handles basic arithmetic What to do with regression models Advice on managing the logical flow Effective debugging strategies How to incorporate dates and times Additional graphics packages you can use
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About the Author
Andrie de Vries is a leading R expert and Business Services Director for Revolution Analytics. With over 20 years of experience, he provides consulting and training services in the use of R. Joris Meys is a statistician, R programmer and R lecturer with the faculty of Bio-Engineering at the University of Ghent.
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Product details
Series: For Dummies
Paperback: 432 pages
Publisher: For Dummies; 2 edition (July 7, 2015)
Language: English
ISBN-10: 1119055806
ISBN-13: 978-1119055808
Product Dimensions:
7.3 x 0.9 x 9.1 inches
Shipping Weight: 1.2 pounds (View shipping rates and policies)
Average Customer Review:
4.2 out of 5 stars
39 customer reviews
Amazon Best Sellers Rank:
#21,006 in Books (See Top 100 in Books)
With very clear and insightful explanations, this book correctly starts with vectors and leaves subjects like graphics to the end, it offers solid advice on software engineering principles often neglected by books on R. Even seasoned R programmers will find pearls in this brilliant book. The authors have done a superb job.
This covers a surprising variety of topics in R from the very basic to the more sophisticated such as linear models and anova. It also discusses user-friendly interfaces such as the very important R Studio. The breadth of topics is encyclopedic which is amazing for a book of this type. This is written in a clear and easy to understand manner with lots of examples. This book is one of the most complete and friendly books on R I have encountered.
This book is just what I was looking for. It teaches you how to program in R and does so with simple, easy to understand examples that you can try for yourself in R and RStudio. If you already know the R language and environment then this book is not for you. If you want to learn to do advanced statistical analysis or graphics with R, then this book is not for you. If you just want to learn how to do fairly basic programming functions in R because you are just beginning to learn R, then this book is definitely for you!
Before purchasing this book I read a lot of mixed reviews. I have no background in programming and a basic understanding of data analytics. I found this book useful as a neophyte to programming and learning the rudimentary skills for accomplishing the things I wanted to in R. It really helped me to get my feet wet and now I feel more comfortable delving into other R data analysis oriented books that often neglect beginner R users as potential audiences.
Very clear and understandable introduction to R. The book is written for readers who have no idea of how to use R. With the methods teached in this book, the reader is able to work with R by himself and to search for new R applications in the help files and in the net.
I had to buy this book for class. It was quite informative, but by no means a textbook. I do recommend it if you are getting acquainted with r and are looking for a simple resource.
Well written book. However, I wish they would introduce earlier in the book how to make charts, box plots, regression lines, etc.
Another great Dummies book for those looking to learn R
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