R.M. Heiberger, E. Neuwirth R Through Excel A Spreadsheet Interface for Statistics, Data Analysis, and Graphics

Series: Use R!

▶ RExcel seamlessly integrates the entire set of R's statistical and graphical methods into Excel ▶ R's statistical procedures are available from an Excel menu ▶ Excel scroll bars and check boxes can create and animate R graphics ▶ RExcel examples cover the topics of the introductory course ▶ RExcel examples illustrate use by professional statisticians ▶ Data can be transferred between R and Excel by selecting worksheet ranges ▶ All R functions can be executed directly from within Excel worksheet formulas (including automatic recalculation when data change) 2009, XXIV, 344 p. 300 illus. in color. R, a free and open source program, is one of the most powerful and the fastest-growing statistics program. Microsoft Excel is the most widely used spreadsheet program, but Printed book many statisticians consider its statistical tools too limited.

Softcover In this book, the authors build on RExcel, a free add-in for Excel that can be downloaded ▶ 64,99 € | £54.99 | $79.99 from the R distribution network. RExcel seamlessly integrates the entire set of R's ▶ *69,54 € (D) | 71,49 € (A) | CHF 77.00 statistical and graphical methods into Excel, allowing students to focus on statistical methods and concepts and minimizing the distraction of learning a new programming eBook language.

Available from your bookstore or Data can be transferred between R and Excel "the Excel way" by selecting worksheet ▶ springer.com/shop ranges and using Excel menus. R's basic statistical functions and selected advanced methods are available from an Excel menu. Results of the computations and statistical MyCopy graphics can be returned back into Excel worksheet ranges. RExcel allows the use of Excel scroll bars and check boxes to create and animate R graphics as an interactive analysis Printed eBook for just tool. € | $ 24.99 ▶ ▶ springer.com/mycopy The book is designed as a computational supplement to introductory statistics texts and the authors provide RExcel examples covering the topics of the introductory course.

Richard M. Heiberger is Professor of Statistics at Temple University. He participated in the design of the S-Plus and R linear model and analysis of variance functions while on research leave at Bell Labs. He is the author of and contributor to various R packages.

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