R Cookbook : Proven Recipes for Data Analysis, Statistics, and Graphics, 2/e
暫譯: R 食譜:數據分析、統計與圖形的實用範例,第二版
Long, Jd, Teetor, Paul
- 出版商: O'Reilly
- 出版日期: 2019-07-30
- 定價: $2,700
- 售價: 8.0 折 $2,160
- 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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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)
這本擴充版的書籍包含超過275個實用的食譜,幫助您快速且有效地使用R進行數據分析。R語言提供了進行統計工作的所有必要工具,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提高使用R的生產力。解決方案涵蓋從基本任務到輸入和輸出、一般統計、圖形以及線性回歸等各個方面。
每個食譜針對特定問題,並包含解釋解決方案的討論,提供對其運作方式的深入見解。如果您是初學者,《R Cookbook》將幫助您入門。如果您是中級使用者,這本書將喚起您的記憶並擴展您的視野。您將能更快地完成工作,並在過程中學習更多有關R的知識。
- 創建向量、處理變數並執行其他基本功能
- 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
- 處理機率、機率分佈和隨機變數
- 計算統計數據和信賴區間,並執行統計檢定
- 創建各種圖形顯示
- 構建包含線性回歸和變異數分析(ANOVA)的統計模型
- 探索高級統計技術,例如在數據中尋找聚類
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 是一位失落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 的熱衷使用者,並且喜愛使用生動的隱喻,他經常在 R 會議上發表演講,也是芝加哥 R 使用者小組的創始人。他與妻子(正在康復中的訴訟律師)和他 11 歲的電路彎曲女兒一起住在新澤西州的澤西市。
Paul Teetor 是一位量化開發者,擁有統計學和計算機科學的碩士學位。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。他與大芝加哥地區的對沖基金、市場做市商和投資組合經理合作。