Microsoft R Excel R 2010 Programming By Example
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Microsoft® Excel® 2010 Programming By Example
Author: Julitta Korol
language: en
Publisher: Stylus Publishing, LLC
Release Date: 2011-07-15
Microsoft Excel 2010 Programming by Example with VBA, XML and ASP is a practical how-to book on Excel programming, suitable for readers already familiar with the Excel user interface. The book introduces programming concepts via numerous multi-step, illustrated, hands-on exercises. More advanced topics are introduced via custom projects. From recording and editing a macro and writing VBA code to working with XML documents and using classic ASP to access and display data on the Web, this book takes you on a programming journey that will change the way you work with Excel. Completely updated for Excel 2010, this book provides information on performing automatic operations on files, folders, and other Microsoft Office applications. It also covers proper use of event procedures, testing and debugging, and programming advanced Excel features such as PivotTables, PivotCharts, and SmartTags. Thirty chapters loaded with illustrated hands-on projects and exercises that tell you exactly where to enter code, how to debug it, and then run it. Each exercise/project step is clearly explained as it is performed.
R Through Excel
Author: Richard M. Heiberger
language: en
Publisher: Springer Science & Business Media
Release Date: 2009-08-05
In this book, the authors build on RExcel, a free add-in for Excel that can be downloaded from the R distribution network. RExcel seamlessly integrates the entire set of R's statistical and graphical methods into Excel, allowing students to focus on statistical methods and concepts and minimizing the distraction of learning a new programming language.
Statistical Analysis
Use Excel 2013’s statistical tools to transform your data into knowledge Conrad Carlberg shows how to use Excel 2013 to perform core statistical tasks every business professional, student, and researcher should master. Using real-world examples, Carlberg helps you choose the right technique for each problem and get the most out of Excel’s statistical features, including recently introduced consistency functions. Along the way, he clarifies confusing statistical terminology and helps you avoid common mistakes. You’ll learn how to use correlation and regression, analyze variance and covariance, and test statistical hypotheses using the normal, binomial, t, and F distributions. To help you make accurate inferences based on samples from a population, this edition adds two more chapters on inferential statistics, covering crucial topics ranging from experimental design to the statistical power of F tests. Becoming an expert with Excel statistics has never been easier! You’ll find crystal-clear instructions, insider insights, and complete step-by-step projects—all complemented by extensive web-based resources. Master Excel’s most useful descriptive and inferential statistical tools Tell the truth with statistics—and recognize when others don’t Accurately summarize sets of values Infer a population’s characteristics from a sample’s frequency distribution Explore correlation and regression to learn how variables move in tandem Use Excel consistency functions such as STDEV.S() and STDEV.P() Test differences between two means using z tests, t tests, and Excel’s Data Analysis Add-in Use ANOVA to test differences between more than two means Explore statistical power by manipulating mean differences, standard errors, directionality, and alpha Take advantage of Recommended PivotTables, Quick Analysis, and other Excel 2013 shortcuts