R Cookbook : Proven Recipes for Data Analysis, Statistics, and Graphics, 2/e

R Cookbook : Proven Recipes for Data Analysis, Statistics, and Graphics, 2/e

作者: Long Jd Teetor Paul
出版社: O'Reilly
出版在: 2019-07-16
ISBN-13: 9781492040682
ISBN-10: 1492040681
裝訂格式: Quality Paper - also called trade paper
總頁數: 500 頁





內容描述


With more than 275 practical recipes, this expanded edition 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. These task-oriented recipes make you productive with R immediately. Solutions range from basic tasks to input and output, general statistics, graphics, and linear regression.
Each recipe addresses a specific problem and includes a discussion that explains the solution and provides insight into how it works. If you're a beginner, R Cookbook will help get you started. If you're an intermediate user, this book 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
Simplify data input and output
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


作者介紹


J.D. Long is a misplaced southern agricultural economist currently working for Renaissance Re in New York City. J.D. is an avid user of Python, R, AWS and colorful metaphors, and is a frequent presenter at R conferences as well as the founder of the Chicago R User Group. He lives in Jersey City, NJ with his wife, a recovering trial lawyer, and his 11-year-old circuit bending daughter.
Paul Teetor is a quantitative developer with Masters degrees in statistics and computer science. He specializes in analytics and software engineering for investment management, securities trading, and risk management. He works with hedge funds, market makers, and portfolio managers in the greater Chicago area.




相關書籍

Python Machine Learning by Example : Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn, 3/e

作者 Liu Yuxi (Hayden)

2019-07-16

文科生也能懂的 Python 程式設計|用 Python 寫出高中數學解題程式

作者 谷尻 かおり 游子賢 譯

2019-07-16

Adopting Agile Across Borders: A Guide to Navigating Cultural Complexity in Agile Teams and Organizations

作者 Califano Glaudia Spinks David

2019-07-16