R Cookbook
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- Nombre de pages436
- FormatMulti-format
- ISBN978-0-596-80927-0
- EAN9780596809270
- Date de parution03/03/2011
- Protection num.NC
- Infos supplémentairesMulti-format incluant PDF sans p...
- ÉditeurO'Reilly
Résumé
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 Cookbookwill help get you started. If you're an experienced data programmer, it will jog your memory and expand your horizons. You'll get the job done faster and learn more about R in the process. - Create vectors, handle variables, and perform other basic functions - Input and output data - Tackle data structures such as matrices, lists, factors, and data frames - Work with probability, probability distributions, and random variables - Calculate statistics and confidence intervals, and perform statistical tests - Create a variety of graphic displays - Build statistical models with linear regressions and analysis of variance (ANOVA) - Explore advanced statistical techniques, such as finding clusters in your data "Wonderfully readable, R Cookbookserves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language-one practical example at a time."-Jeffrey Ryan, software consultant and R package author
If you're a beginner, R Cookbookwill help get you started. If you're an experienced data programmer, it will jog your memory and expand your horizons. You'll get the job done faster and learn more about R in the process. - Create vectors, handle variables, and perform other basic functions - Input and output data - Tackle data structures such as matrices, lists, factors, and data frames - Work with probability, probability distributions, and random variables - Calculate statistics and confidence intervals, and perform statistical tests - Create a variety of graphic displays - Build statistical models with linear regressions and analysis of variance (ANOVA) - Explore advanced statistical techniques, such as finding clusters in your data "Wonderfully readable, R Cookbookserves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language-one practical example at a time."-Jeffrey Ryan, software consultant and R package author
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 Cookbookwill help get you started. If you're an experienced data programmer, it will jog your memory and expand your horizons. You'll get the job done faster and learn more about R in the process. - Create vectors, handle variables, and perform other basic functions - Input and output data - Tackle data structures such as matrices, lists, factors, and data frames - Work with probability, probability distributions, and random variables - Calculate statistics and confidence intervals, and perform statistical tests - Create a variety of graphic displays - Build statistical models with linear regressions and analysis of variance (ANOVA) - Explore advanced statistical techniques, such as finding clusters in your data "Wonderfully readable, R Cookbookserves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language-one practical example at a time."-Jeffrey Ryan, software consultant and R package author
If you're a beginner, R Cookbookwill help get you started. If you're an experienced data programmer, it will jog your memory and expand your horizons. You'll get the job done faster and learn more about R in the process. - Create vectors, handle variables, and perform other basic functions - Input and output data - Tackle data structures such as matrices, lists, factors, and data frames - Work with probability, probability distributions, and random variables - Calculate statistics and confidence intervals, and perform statistical tests - Create a variety of graphic displays - Build statistical models with linear regressions and analysis of variance (ANOVA) - Explore advanced statistical techniques, such as finding clusters in your data "Wonderfully readable, R Cookbookserves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language-one practical example at a time."-Jeffrey Ryan, software consultant and R package author