Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Supporting your high street Find out how »
R for Microsoft(R) Excel Users : Making the Transition for Statistical Analysis, EPUB eBook

R for Microsoft(R) Excel Users : Making the Transition for Statistical Analysis EPUB

EPUB

Download - Immediately Available
Please note: eBooks can only be purchased with a UK issued credit card and all our eBooks (ePub and PDF) are DRM protected.

Description

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(R) 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

Information

Other Formats

Save 19%

£16.66

£13.33

Download - Immediately Available
Add to Basket
Sign in to add to wishlist
 
Delivered to your inbox

to transfer to your device

eBook Help

Is this the right eBook for
my device? How do I download
this eBook? See help and FAQs pages

Information