
Give the Gift of Choice!
Too many options? Treat your friends and family to their favourite stores with a Bayshore Shopping Centre gift card, redeemable at participating retailers throughout the centre. Click below to purchase yours today!Purchase HereHome
R in a Nutshell: A Desktop Quick Reference
Coles
Loading Inventory...
R in a Nutshell: A Desktop Quick Reference in Ottawa, ON
By None
Current price: $79.99


By None
R in a Nutshell: A Desktop Quick Reference in Ottawa, ON
Current price: $79.99
Loading Inventory...
Size: Paperback
*Product information may vary - to confirm product availability, pricing, shipping and return information please contact Coles
If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You’ll learn how to write R functions and use R packages to help you prepare, visualize, and analyze data. Author Joseph Adler illustrates each process with a wealth of examples from medicine, business, and sports.
Updated for R 2.14 and 2.15, this second edition includes new and expanded chapters on R performance, the ggplot2 data visualization package, and parallel R computing with Hadoop.
Get started quickly with an R tutorial and hundreds of examples
Explore R syntax, objects, and other language details
Find thousands of user-contributed R packages online, including Bioconductor
Learn how to use R to prepare data for analysis
Visualize your data with R’s graphics, lattice, and ggplot2 packages
Use R to calculate statistical fests, fit models, and compute probability distributions
Speed up intensive computations by writing parallel R programs for Hadoop
Get a complete desktop reference to R
If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You’ll learn how to write R functions and use R packages to help you prepare, visualize, and analyze data. Author Joseph Adler illustrates each process with a wealth of examples from medicine, business, and sports.
Updated for R 2.14 and 2.15, this second edition includes new and expanded chapters on R performance, the ggplot2 data visualization package, and parallel R computing with Hadoop.
Get started quickly with an R tutorial and hundreds of examples
Explore R syntax, objects, and other language details
Find thousands of user-contributed R packages online, including Bioconductor
Learn how to use R to prepare data for analysis
Visualize your data with R’s graphics, lattice, and ggplot2 packages
Use R to calculate statistical fests, fit models, and compute probability distributions
Speed up intensive computations by writing parallel R programs for Hadoop
Get a complete desktop reference to R

















