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Carregando... R Cookbook (edição: 2011)de Paul Teetor
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Registre-se no LibraryThing tpara descobrir se gostará deste livro. Ainda não há conversas na Discussão sobre este livro. 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 this fashion. There are parts of the book that educate us about Statistics itself, but prior knowledge of some Statistics is a must if you want to make the best of this book. The author shows examples from a variety of libraries - MASS, Cars93, zoo, XML to name a few. Enthusiastic readers will explore the data sets in these libraries and become more hands-on. The chapter on Useful Tricks exposed many of the "helper" functions. These add to the convenience while working with R. The code samples for the book seemed incomplete when I downloaded them. But this worked for my benefit in the sense that I spent more time actually writing the code or creating the data myself - helped me get a little more comfortable around it's syntax. Blessing in disguise I guess. Imprescindible reference for anyone using R. Is true that you can find all this information in internet, and specifically in http://stackoverflow.com/, but here is full of useful recipes to usual problems. sem resenhas | adicionar uma resenha
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With more 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 you're a beginner, R Coo Não foram encontradas descrições de bibliotecas. |
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Google Books — Carregando... GênerosClassificação decimal de Dewey (CDD)519.502855133Natural sciences and mathematics Mathematics Applied Mathematics, Probabilities Statistical MathematicsClassificação da Biblioteca do Congresso dos E.U.A. (LCC)AvaliaçãoMédia:
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This book is written by a quant (Wall Street data analyst) who has Masters degrees in both statistics and computer science. I find his statistics section interesting and most helpful. His visualization section is dated as it should use ggplot instead of R's native plotting techniques.
He analyzes several helpful methods; figuring out those methods constitutes the learning part of the book. The short script (this is a computer cookbook after all) were helpful to extend my knowledge and agility with the language.
The statistics section consists of a plethora of helpful analytical techniques to get what you want out of R. The information in this section is unique to me and as such new/useful. It tells me what techniques to use for certain types of data (e.g., normal vs. non-normal). Short of a statistics textbook, that's all you can ask for from a computer script cookbook.
So this book served its purpose well. I would not classify it as essential R reading, however. There are other texts which are more important. Some of the scripts are obvious, but this book provided good reading while I was eating lunch for a couple of weeks.
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