R Cookbook : Proven Recipes for Data Analysis, Statistics, and Graphics, 2/e
Long, Jd, Teetor, Paul
- 出版商: O'Reilly
- 出版日期: 2019-07-30
- 定價: $2,700
- 售價: 9.0 折 $2,430
- 語言: 英文
- 頁數: 500
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1492040681
- ISBN-13: 9781492040682
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相關分類:
R 語言、Data Science、機率統計學 Probability-and-statistics
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相關翻譯:
R語言經典實例(原書第2版) (簡中版)
R 錦囊妙計, 2/e (R Cookbook, 2/e) (繁中版)
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相關主題
商品描述
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
商品描述(中文翻譯)
這本擴充版的書籍提供超過275個實用的食譜,幫助您快速高效地進行R語言的數據分析。R語言提供了進行統計工作所需的一切,但其結構可能難以掌握。這些以任務為導向的食譜能讓您立即在R中提高工作效率。解決方案從基本任務到輸入和輸出、一般統計、圖形和線性回歸等各個方面。
每個食譜都解決了特定的問題,並包含了解決方案的討論,以及對其工作原理的深入洞察。如果您是初學者,《R Cookbook》將幫助您入門。如果您是中級用戶,這本書將提醒您並擴展您的視野。您將能更快地完成工作,並在過程中學到更多關於R的知識。
本書包含以下內容:
- 創建向量,處理變量和執行其他基本功能
- 簡化數據的輸入和輸出
- 處理數據結構,如矩陣、列表、因子和數據框
- 使用概率、概率分佈和隨機變量
- 計算統計量和置信區間,執行統計檢驗
- 創建各種圖形顯示
- 使用線性回歸和方差分析(ANOVA)建立統計模型
- 探索高級統計技術,例如在數據中尋找聚類
以上是這本書的內容概述。
作者簡介
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.
作者簡介(中文翻譯)
J.D. Long是一位被誤置的南方農業經濟學家,目前在紐約市的Renaissance Re工作。J.D.是Python、R、AWS和色彩豐富的隱喻的狂熱使用者,經常在R會議上演講,也是芝加哥R使用者群體的創始人。他與他的妻子(一位正在康復的試驗律師)和他11歲的電路彎曲女兒一起居住在新澤西州的澤西城。
Paul Teetor是一位擁有統計學和計算機科學碩士學位的量化開發人員。他專注於投資管理、證券交易和風險管理的分析和軟體工程。他在芝加哥地區與對沖基金、市場製造商和投資組合經理合作。