R Cookbook (O'Reilly Cookbooks)
| Author | : | |
| Rating | : | 4.82 (809 Votes) |
| Asin | : | 0596809158 |
| Format Type | : | paperback |
| Number of Pages | : | 438 Pages |
| Publish Date | : | 2016-11-08 |
| Language | : | English |
DESCRIPTION:
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 an experienced data programmer, it will jog your memory and expand your horizons. With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. If you’re a beginner, R Cookbook will help get you started. The R language provides everything you need to do statistical work, but its structure can be difficult to master. You’ll get the job done faster and learn more 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 stati
"Very Practical -- Saved me tons of time!!!" according to Bill y. I'd give this book ten stars if I could. I bought one copy for the office and one for my house. This guy has the ability to write simply and with the mind set of people who are busy and want to get results right away. Of course we'd all love to be leisurely sc. XIANGFEI SUN said Five Stars. Good product! Totally meet my requirement.. "Five Stars" according to AliW. Good condition
He specializes in analytics and software engineering for investment management, securities trading, and risk management. Paul Teetor is a quantitative developer with Masters degrees in statistics and computer science. He works with hedge funds, market makers, and portfolio managers in the greater Chicago area.
He works with hedge funds, market makers, and portfolio managers in the greater Chicago area.. He specializes in analytics and software engineering for investment management, securities trading, and risk management. About the AuthorPaul Teetor is a quantitative developer with Masters degrees in statistics and computer science