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R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics

R Cookbook Proven Recipes for Data Analysis Statistics and Graphics With than practical recipes this book helps you perform data analysis with R quickly and efficiently The R language provides everything you need to do statistical work but its structure can be dif

  • Title: R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics
  • Author: Paul Teetor
  • ISBN: 9780596809157
  • Page: 417
  • Format: Paperback
  • With than 200 practical recipes this book helps you perform data analysis with R quickly and efficiently The R language provides everything you need to do statistical work but its structure can be difficult to master This collection of concise task oriented recipes makes you productive with R immediately with solutions ranging from basic tasks to input and output geneWith than 200 practical recipes this book helps you perform data analysis with R quickly and efficiently The R language provides everything you need to do statistical work but its structure can be difficult to master This collection of concise task oriented recipes makes you productive with R immediately with solutions ranging from basic tasks to input and output general statistics graphics and linear regression Each recipe addresses a specific problem with a discussion that explains the solution and offers insight into how it works If youre a beginner R Cookbook will help get you started If youre an experienced data programmer it will jog your memory and expand your horizons Youll get the job done faster and learn about R in the process Create vectors handle variables and perform other basic functionsInput and output dataTackle data structures such as matrices lists factors and data framesWork with probability probability distributions and random variablesCalculate statistics and confidence intervals and perform statistical testsCreate a variety of graphic displaysBuild statistical models with linear regressions and analysis of variance ANOVAExplore advanced statistical techniques such as finding clusters in your dataWonderfully readable R Cookbook serves not only as a solutions manual of sorts but as a truly enjoyable way to explore the R languageone practical example at a time Jeffrey Ryan software consultant and R package author

    • Best Download [Paul Teetor] ✓ R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics || [Travel Book] PDF º
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    1 thought on “R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics

    1. A part of the cookbook series is expected to provide a multitude of examples of useful tasks. The R Cookbook does this, but also more. This provides more, teaching about R beyond what reference books and most tutorials.One weakness of R compared to other data analysis environments and programming languages is it's lack of coherence that comes from a central design. Instead it seems like a set of constructs, each designed differently. As an example, the multiple packages for graphic. Every user o [...]

    2. If you love learning by doing this is your book!R is the best statistical software package on the market (although it's free, so technically there is no market for it). Its functions outstrip those of SPSS and STATA by far. So naturally everyone doing statistical work should be familiar with R. The R Cookbook is designed for clear cut problem solving. You want something being done by R? This book will have a description how to do it and a detailed section of what you are actually doing. This boo [...]

    3. I agree that this is not a book for the beginners, but nevertheless it started with the very basics. I was impressed about it though it is from a Cookbook series.The approach in the book is: if this is your problem, here's the solution, followed by a discussion which provides great amount of detail about the concept or function. This format allows the book to be used as a reference guide as well as it will assist us to jump to a point directly. The book illustrates plenty of functions of R in th [...]

    4. Great R Reference BookThe book contains numerous recipes for addressing specific topics related to R. I found several solutions to topics that I have faced while using R. I found the coverage of solutions strike a good balance for beginning and advanced users. The author directs the reader to other books where necessary to learn more about specific topics.

    5. The recipes are short and start to the point. It however has the problem that not all basics and details of the syntax are explained. For example, at some point the notation "plot( x ~ y)" shows up without any indication of what the tilde does there. Good intermediate book, and would complement, but likely not replace, an introduction book.

    6. This is an excellent book on R. If you don't know anything about R, this isn't the book to start with. However, it will be really useful after you have learned some really basic concepts about R (basically, one week after you start learning R!). The book consists of user-oriented tasks. The reader looks up the task they are interested in performing from the contents pages at the front of the book. So the book is designed as a reference book. The strength of this book are: ** the range and number [...]

    7. Como a maior parte dos livros da O'Reilly, este possui muitos exemplos e é bastante orientado para a prática e realização em computador das suas propostas de trabalho.Constitui uma boa fonte para aprofundar o conhecimento desta linguagem de programação e programação de análise de dados / estatística, cada vez mais popular.Possui uma página de recursos na Web que facilita a sua aprendizagem: cookbook-r/

    8. The R programming language is well suited for exploring correlation in medium size data sets. If you already understand the null hypothesis and know which algorithms are appropriate to use for statistical variance testing, then this book will really boost your productivity with R.If you don't have much understanding of statistics and what purpose it serves, then this is not the first book that you should turn to.

    9. As someone who isn't a practicing statistician I was blown away by how accessible and informative this cookbook was. I expected examples to be inaccessible, but the author educated me on both R and applied statistics at the same time.

    10. It is my Top-1 recommended book for people starting to study R. Concise and with very useful examples.

    11. Seems to cover just the right topics for a book of its size. To get more info on graphics or prorgamming, you may need additional books, but this is the ideal cookbook.

    12. Useless unless you need specific formulas for checking certain formats like driver's licence numbers per state.

    13. Much better than "R in a Nutshell", even given what needs they're supposed to serve. Read this first if you're learning R (and already know some statistics).

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