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R for Excel Users

2016-08-08
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Release : 2016-08-08
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Kind : eBook
Book Rating : 357/5 ( reviews)

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Book Synopsis R for Excel Users by : John L. Taveras

Download or read book R for Excel Users written by John L. Taveras. This book was released on 2016-08-08. Available in PDF, EPUB and Kindle. Book excerpt: R has a steep learning curve and, if taken in all at once, it can be overwhelming. But we can tame this curve by putting aside visualizations and analysis, and focusing on working with data. This book is all about data manipulation: importing, creating, modifying, filtering, summarizing and reshaping data sets. You will also go deep on the building blocks of R: vectors and functions. The language is simplified and technical lingo is kept to a minimum. You will see analogies to Excel where applicable, to ease your understanding of concepts. Supplemental articles and videos can be found at rforexcelusers.com

R for Microsoft® Excel Users

2016-11-11 Business & Economics
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Release : 2016-11-11
Genre : Business & Economics
Kind : eBook
Book Rating : 894/5 ( reviews)

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Book Synopsis R for Microsoft® Excel Users by : Conrad Carlberg

Download or read book R for Microsoft® Excel Users written by Conrad Carlberg. This book was released on 2016-11-11. Available in PDF, EPUB and Kindle. Book excerpt: This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. 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 DescTools for descriptive statistics, including bivariate analyses • Perform regression analysis and statistical inference in R and Excel • Analyze variance and covariance, including single-factor and factorial ANOVA • Use R’s mlogit package and glm function for Solver-style logistic regression • Analyze time series and principal components with R and Excel

R Through Excel

2010-01-23 Computers
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Release : 2010-01-23
Genre : Computers
Kind : eBook
Book Rating : 527/5 ( reviews)

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Book Synopsis R Through Excel by : Richard M. Heiberger

Download or read book R Through Excel written by Richard M. Heiberger. This book was released on 2010-01-23. Available in PDF, EPUB and Kindle. Book excerpt: 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.

R for Excel Users

2016
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Author :
Release : 2016
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis R for Excel Users by :

Download or read book R for Excel Users written by . This book was released on 2016. Available in PDF, EPUB and Kindle. Book excerpt: Update your data science skills by learning R. Learn how common data analysis and statistics operations are run in Excel vs. R and how to move data back and forth between each program.

Beyond Spreadsheets with R

2018-12-10 Computers
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Release : 2018-12-10
Genre : Computers
Kind : eBook
Book Rating : 084/5 ( reviews)

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Book Synopsis Beyond Spreadsheets with R by : Jonathan Carroll

Download or read book Beyond Spreadsheets with R written by Jonathan Carroll. This book was released on 2018-12-10. Available in PDF, EPUB and Kindle. Book excerpt: Summary Beyond Spreadsheets with R shows you how to take raw data and transform it for use in computations, tables, graphs, and more. You'll build on simple programming techniques like loops and conditionals to create your own custom functions. You'll come away with a toolkit of strategies for analyzing and visualizing data of all sorts using R and RStudio. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Spreadsheets are powerful tools for many tasks, but if you need to interpret, interrogate, and present data, they can feel like the wrong tools for the task. That's when R programming is the way to go. The R programming language provides a comfortable environment to properly handle all types of data. And within the open source RStudio development suite, you have at your fingertips easy-to-use ways to simplify complex manipulations and create reproducible processes for analysis and reporting. About the Book With Beyond Spreadsheets with R you'll learn how to go from raw data to meaningful insights using R and RStudio. Each carefully crafted chapter covers a unique way to wrangle data, from understanding individual values to interacting with complex collections of data, including data you scrape from the web. You'll build on simple programming techniques like loops and conditionals to create your own custom functions. You'll come away with a toolkit of strategies for analyzing and visualizing data of all sorts. What's inside How to start programming with R and RStudio Understanding and implementing important R structures and operators Installing and working with R packages Tidying, refining, and plotting your data About the Reader If you're comfortable writing formulas in Excel, you're ready for this book. About the Author Dr Jonathan Carroll is a data science consultant providing R programming services. He holds a PhD in theoretical physics. Table of Contents Introducing data and the R language Getting to know R data types Making new data values Understanding the tools you'll use: Functions Combining data values Selecting data values Doing things with lots of data Doing things conditionally: Control structures Visualizing data: Plotting Doing more with your data with extensions

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