Read R in a Nutshell: A Desktop Quick Reference (In a Nutshell (O'Reilly)) by Joseph Adler Online
^ Read ! R in a Nutshell: A Desktop Quick Reference (In a Nutshell (O'Reilly)) by Joseph Adler ¼ eBook or Kindle ePUB. R in a Nutshell: A Desktop Quick Reference (In a Nutshell (O'Reilly)) "Gateway into the world of R" according to Tony DaBoney. 'R in a Nutshell' is the essential introductory book on R. Do not try to learn R without it.I made two attempts to learn R before purchasing this book. In both previous attempts, I had to abort and use another tool to solve my problem because it was taking me too long to accomplish very simple things in R.The reason R is hard to learn is that its documentation is organized for statisticians that already know R, but have forgotten a detail
| Title | : | R in a Nutshell: A Desktop Quick Reference (In a Nutshell (O'Reilly)) |
| Author | : | |
| Rating | : | 4.13 (898 Votes) |
| Asin | : | 059680170X |
| Format Type | : | paperback |
| Number of Pages | : | 636 Pages |
| Publish Date | : | 2015-06-07 |
| Language | : | English |
He graduated from MIT with an Sc.B and M.Eng in Computer Science and Electrical Engineering from MIT. Joseph Adler has many years of experience in data mining and data analysis at companies including DoubleClick, American Express, and VeriSign. He is the inventor of several patents for computer security and cryptography, and the author of Baseball Hacks. Currently, he is a senior data scientist at LinkedIn.
"Gateway into the world of R" according to Tony DaBoney. 'R in a Nutshell' is the essential introductory book on R. Do not try to learn R without it.I made two attempts to learn R before purchasing this book. In both previous attempts, I had to abort and use another tool to solve my problem because it was taking me too long to accomplish very simple things in R.The reason R is hard to learn is that its documentation is organized for statisticians that already know R, but have forgotten a detail or two. There are a few other books on learning R, but they are setup like a college course - complete the entire book and THEN you can actually accompl. in purgatory between tutorial and reference Joseph Clark I've just gotten the book, my first resource for learning R, and I find it moderately helpful but in some ways frustrating. O'Reilly's books usually take the form of either a progressive set of lessons in a language (like the famous "Learning Perl") or as an easily navigable reference book (like "Java in a Nutshell"). This book places itself somewhere in the middle. It begins with a fairly limited tutorial that covers basics of the scripting language but doesn't get into what a researcher would really use R for: importing data and running an analysis. This is complemented by a glossary of. Excellent resource for a language with a steep learning curve! Jay Thomas While R, the free statistical computing and graphics software environment and language, is quickly becoming ubiquitous in both academia and the corporate world, many new (especially non-academic) users find its learning curve prohibitively steep. To make matters worse, most documentation is written by and for academic statisticians already relatively familiar with the software, and R's syntax is quite different from most conventional programming languages.Thanks to Joseph Adler's book, there's finally a comprehensive and definitive resource for the rest of us. The book is divided into fiv
Adler provides 'real world' examples, practical advice, and scripts, making it accessible to anyone working with data, not just professional statisticians.". Then, through a variety of practical examples from medicine, business, and sports, you'll learn how you can use this remarkable tool to solve your own data analysis problems.Understand the basics of the language, including the nature of R objectsLearn how to write R functions and build your own packagesWork with data through visualization, statistical analysis, and other methodsExplore the wealth of packages contributed by the R communityBecome familiar with the lattice graphics package for high-level data visualizationLearn about bioinformatics packages provided by Bioconductor "I am excited about this book. R in a Nutshell is a great introduction to R, as well as a comprehensive reference for using R in data analytics and visualization. Why learn R? Because it's rapidly becoming the standard for developing statistical software. You'll not only learn how to program in R, but also how to find the right user-contributed R packages for statistical modeling, visualization, and bioinformatics.The author introduces you to the R environment, including the R graphical user inter
He graduated from MIT with an Sc.B and M.Eng in Computer Science and Electrical Engineering from MIT. He is the inventor of several patents for computer security and cryptography, and the author of Baseball Hacks. About the AuthorJoseph Adler has many years of experience in data mining and data analysis at companies including DoubleClick, American Express, and VeriSign. Currently, he is a senior data scientist at LinkedIn.
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