Beginning R 4: From Beginner to Pro
暫譯: 從入門到專家：R 4 初學者指南

Wiley, Matt, Wiley, Joshua F.

Beginning R 4: From Beginner to Pro

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商品描述

Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical methods. This in-depth tutorial includes key R 4 features including a new color palette for charts, an enhanced reference counting system (useful for big data), and new data import settings for text (as well as the statistical methods to model text-based, categorical data).

Each chapter starts with a list of learning outcomes and concludes with a summary of any R functions introduced in that chapter, along with exercises to test your new knowledge. The text opens with a hands-on installation of R and CRAN packages for both Windows and macOS. The bulk of the book is an introduction to statistical methods (non-proof-based, applied statistics) that relies heavily on R (and R visualizations) to understand, motivate, and conduct statistical tests and modeling.

Beginning R 4 shows the use of R in specific cases such as ANOVA analysis, multiple and moderated regression, data visualization, hypothesis testing, and more. It takes a hands-on, example-based approach incorporating best practices with clear explanations of the statistics being done.

You will:

  • Acquire and install R and RStudio
  • Import and export data from multiple file formats
  • Analyze data and generate graphics (including confidence intervals)
  • Interactively conduct hypothesis testing
  • Code multiple and moderated regression solutions

Who This Book Is For

Programmers and data analysts who are new to R. Some prior experience in programming is recommended.

商品描述(中文翻譯)

學習如何使用 R 4，撰寫和儲存 R 腳本，讀取和寫入數據檔案，使用內建函數，並理解常見的統計方法。這本深入的教程包括 R 4 的關鍵特性，包括用於圖表的新顏色調色板、增強的參考計數系統（對於大數據非常有用）以及用於文本的新數據導入設置（以及用於建模基於文本的類別數據的統計方法）。

每一章都以學習成果列表開始，並以該章中介紹的任何 R 函數的總結結束，還包括測試您新知識的練習。文本開頭是針對 Windows 和 macOS 的 R 和 CRAN 套件的實作安裝。書籍的主要內容是統計方法的介紹（非證明基礎的應用統計），這在很大程度上依賴於 R（和 R 視覺化）來理解、激勵和進行統計測試和建模。

《Beginning R 4》展示了 R 在特定案例中的使用，例如 ANOVA 分析、多重和調節回歸、數據視覺化、假設檢驗等。它採取了實作為主的示例導向方法，結合最佳實踐，並清楚解釋所進行的統計。

您將：
- 獲取並安裝 R 和 RStudio
- 從多種檔案格式導入和導出數據
- 分析數據並生成圖形（包括信賴區間）
- 互動式進行假設檢驗
- 編寫多重和調節回歸解決方案

本書適合對象
對 R 新手的程式設計師和數據分析師。建議具備一些程式設計的先前經驗。

作者簡介

Matt Wiley is a tenured, associate professor of mathematics with awards in both mathematics education and honor student engagement. He earned degrees in pure mathematics, computer science, and business administration through the University of California and Texas A&M systems. He serves as director for Victoria College's quality enhancement plan and managing partner at Elkhart Group Limited, a statistical consultancy. With programming experience in R, C++, Ruby, Fortran, and JavaScript, he has always found ways to meld his passion for writing with his joy of logical problem solving and data science. From the boardroom to the classroom, Matt enjoys finding dynamic ways to partner with interdisciplinary and diverse teams to make complex ideas and projects understandable and solvable.
Joshua F. Wiley is a lecturer in the Monash Institute for Cognitive and Clinical Neurosciences and School of Psychological Sciences at Monash University and a senior partner at Elkhart Group Limited, a statistical consultancy. He earned his PhD from the University of California, Los Angeles, and his research focuses on using advanced quantitative methods to understand the complex interplays of psychological, social, and physiological processes in relation to psychological and physical health. In statistics and data science, Joshua focuses on biostatistics and is interested in reproducible research and graphical displays of data and statistical models. Through consulting at Elkhart Group Limited and former work at the UCLA Statistical Consulting Group, he has supported a wide array of clients ranging from graduate students, to experienced researchers, and biotechnology companies. He also develops or co-develops a number of R packages including varian, a package to conduct Bayesian scale-location structural equation models, and MplusAutomation, a popular package that links R to the commercial Mplus software.

作者簡介(中文翻譯)

馬特·懷利（Matt Wiley）是數學的終身副教授，曾獲得數學教育和優秀學生參與的獎項。他通過加州大學和德克薩斯農工大學系統獲得純數學、計算機科學和商業管理的學位。他擔任維多利亞學院質量提升計劃的主任，以及統計顧問公司Elkhart Group Limited的管理合夥人。擁有R、C++、Ruby、Fortran和JavaScript的編程經驗，他總是能找到將寫作熱情與邏輯問題解決和數據科學的樂趣結合的方法。從董事會到教室，馬特喜歡尋找動態的方式與跨學科和多元化的團隊合作，使複雜的想法和項目變得易於理解和解決。
約書亞·F·懷利（Joshua F. Wiley）是莫納什大學認知與臨床神經科學研究所及心理科學學院的講師，也是統計顧問公司Elkhart Group Limited的高級合夥人。他在加州大學洛杉磯分校獲得博士學位，研究重點是使用先進的定量方法來理解心理、社會和生理過程在心理和身體健康方面的複雜相互作用。在統計和數據科學方面，約書亞專注於生物統計學，並對可重複研究和數據及統計模型的圖形顯示感興趣。通過在Elkhart Group Limited的顧問工作以及在UCLA統計顧問小組的前期工作，他支持了從研究生到經驗豐富的研究人員以及生物技術公司的各類客戶。他還開發或共同開發了多個R套件，包括varian，一個用於進行貝葉斯尺度-位置結構方程模型的套件，以及MplusAutomation，一個將R與商業Mplus軟件連接的流行套件。

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