R for Microsoft Excel Users ─ Making the Transition for Statistical Analysis
商品資訊
商品簡介
Conrad Carlberg's Statistical Analysis with R and Microsoft® Excel is the first complete guide to performing modern statistical analyses with Excel, R, or both. Drawing on his immense experience helping organizations gain value from statistical methods, Carlberg shows when and how to use Excel, when and how to use R instead, and how to use them together to get the best from both.
Writing in clear, understandable English, Carlberg combines an exploration of statistical theory with a hands-on description of how to perform many common statistical analyses with both Excel and R. Through examples, you'll gain practical insights into each tool's strengths and weaknesses in a wide variety of common analytic scenarios. Coverage includes:
- Preparing data for analysis
- Performing simple descriptive analyses
- Using Excel and R to perform regressions
- Analyzing variance and covariance
- Running logistic regressions
- Analyzing time series and principal components
- Moving comfortably between R and Excel
Statistical Analysis with R and Microsoft® Excel will be especially valuable for Excel users who:
- Have complex analytical problems that can't easily be solved with Excel's built-in tools
- Don't want to write custom Visual Basic or C code to perform advanced Excel analyses
- Want to combine R's power with Excel's simplicity and intuitive visual reports
- Want to access all the power of a professional-quality statistical package without the expense
作者簡介
Conrad Carlberg (www.conradcarlberg.com) is a nationally recognized expert on quantitative analysis and on data analysis and management applications such as Microsoft Excel, SAS, and Oracle. He holds a Ph.D. in statistics from the University of Colorado and is a many-time recipient of Microsoft's Excel MVP designation.
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Carlberg is a Southern California native. After college he moved to Colorado, where he worked for a succession of startups and attended graduate school. He spent two years in the Middle East, teaching computer science and dodging surly camels. After finishing graduate school, Carlberg worked at US West (a Baby Bell) in product management and at Motorola.
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In 1995 he started a small consulting business which provides design and analysis services to companies that want to guide their business decisions by means of quantitative analysis–approaches that today we group under the term "analytics." He enjoys writing about those techniques and, in particular, how to carry them out using the world's most popular numeric analysis application, Microsoft Excel.
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