Opening book details…
Can I read R for Microsoft® Excel Users : Making the Transition for Statistical Analysis on EtoBox?
R for Microsoft® Excel Users : Making the Transition for Statistical Analysis by Conrad George Carlberg is a book available to read on EtoBox.
What is R for Microsoft® Excel Users : Making the Transition for Statistical Analysis about?
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
- Author
- Conrad George Carlberg
- Publisher
- Que Publishing
- Published
- 2017
- Language
- EN
- ISBN
- 9780134571867
- Subjects
- Business, Computer Science, Mathematics
More by Conrad George Carlberg
Browse all works by Conrad George Carlberg
Similar books
- Statistical analysis : Microsoft Excel® 2016 — Conrad George Carlberg (2018)
- Statistical Fundamentals : Using Microsoft Excel for Univariate and Bivariate Analysis — Alfred P. Rovai (2016)
- R for Excel Users : an Introduction to R for Excel Analysts — John L Taveras (2017)
- Regression analysis : Microsoft Excel — Conrad George Carlberg (2016)
- Statistical Analysis With Excel for Dummies — Joseph Schmuller (2005)
- Bayesian Analysis with Excel and R (Addison-Wesley Data & Analytics Series) — Conrad George Carlberg (2022)