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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:
Statistical Analysis with R and Microsoft® Excel will be especially valuable for Excel users who:
1. Preparing Data for Analysis
2. Simple Descriptive Analysis
3. Regression Analysis
4. Analysis of Variance and Covariance
5. Logistic Regression
6. Time Series Analysis
7. Principal Components Analysis