Title
R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics,New
Delivery time: 8-12 business days (International)
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, taskoriented 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 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 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
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To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Secure Payment
Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.
We accept payments with :
Visa, MasterCard, American Express, Paypal, Shopify Payments, Shop Pay and more.
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Frequently Asked Questions
- Q: What topics does R Cookbook cover? A: R Cookbook covers a wide range of topics including data analysis, statistics, graphics, input and output, data structures, probability, and advanced statistical techniques.
- Q: Is R Cookbook suitable for beginners? A: Yes, R Cookbook is designed to assist beginners in getting started with R, providing concise, task-oriented recipes that are easy to follow.
- Q: How many pages are in R Cookbook? A: R Cookbook contains 434 pages of practical recipes and insights for using the R programming language.
- Q: Who is the author of R Cookbook? A: The author of R Cookbook is Paul Teetor, who offers his expertise in R programming and data analysis.
- Q: What is the binding type of R Cookbook? A: R Cookbook is available in paperback binding, making it easy to handle and read.
- Q: When was R Cookbook published? A: R Cookbook was published on April 19, 2011.
- Q: Does R Cookbook include examples and exercises? A: Yes, R Cookbook includes practical examples and exercises that help users understand R through real-world applications.
- Q: Can R Cookbook help with statistical modeling? A: Absolutely, R Cookbook provides guidance on building statistical models, including linear regressions and analysis of variance.
- Q: What level of R programming knowledge is required to use R Cookbook? A: R Cookbook is suitable for all levels, from beginners to experienced programmers, as it offers insights and reminders for seasoned users.
- Q: Are there any additional resources recommended in R Cookbook? A: While R Cookbook focuses on recipes, it may reference additional resources for further learning and exploration of R.