R for Microsoft Excel Users: Making the Transition for Statistical Analysis

 Microsoft Excel can perform many statistical analyses, but thousands of business users and analysts are now reaching its limits. R, in contrast, can perform virtually any imaginable analysis—if you can get over its learning curve. In R for Microsoft® Excel Users, Conrad Carlberg shows exactly how to get the most from both programs.

Drawing on his immense experience helping organizations apply statistical methods, Carlberg reviews how to perform key tasks in Excel, and then guides you through reaching the same outcome in R—including which packages to install and how to access them. Carlberg offers expert advice on when and how to use Excel, when and how to use R instead, and the strengths and weaknesses of each tool.

Writing in clear, understandable English, Carlberg combines essential statistical theory with hands-on examples reflecting real-world challenges. By the time you’ve finished, you’ll be comfortable using R to solve a wide spectrum of problems—including many you just couldn’t handle with Excel.

• Smoothly transition to R and its radically different user interface

• Leverage the R community’s immense library of packages

• Efficiently move data between Excel and R

• Use R’s DescTools for descriptive statistics, including bivariate analyses

• Perform regression analysis and statistical inference in R and Excel

• Analyze variance and covariance, including single-factor and factorial ANOVA

• Use R’s mlogit package and glm function for Solver-style logistic regression

• Analyze time series and principal components with R and Excel

Microsoft Excel可以進行許多統計分析，但現在有成千上萬的商業使用者和分析師已經達到了它的極限。相比之下，R可以進行幾乎任何想像得到的分析，只要你能克服它的學習曲線。在《R for Microsoft Excel Users》中，Conrad Carlberg將準確地展示如何充分利用這兩個程式。

借助他在幫助組織應用統計方法方面的豐富經驗，Carlberg回顧了如何在Excel中執行關鍵任務，然後指導您如何在R中達到相同的結果，包括安裝哪些套件以及如何訪問它們。Carlberg提供了關於何時以及如何使用Excel，何時以及如何改用R以及每個工具的優點和缺點的專業建議。

Carlberg用清晰易懂的英語結合基本的統計理論和實際挑戰的實例。在您完成時，您將能夠熟練使用R來解決各種問題，包括許多您無法使用Excel處理的問題。

• 平滑過渡到R及其完全不同的用戶界面
• 利用R社區龐大的套件庫
• 在Excel和R之間高效地移動數據
• 使用R的DescTools進行描述性統計，包括雙變量分析
• 在R和Excel中進行回歸分析和統計推斷
• 分析變異和協方差，包括單因素和多因素ANOVA
• 使用R的mlogit套件和glm函數進行類似Solver的邏輯回歸分析
• 使用R和Excel分析時間序列和主成分分析