R in motion, moment Edition offers either the R language and the examples that make it so helpful for company builders. concentrating on functional suggestions, the e-book bargains a crash path in facts and covers dependent tools for facing messy and incomplete information which are tough to investigate utilizing conventional tools. you will additionally grasp R's huge graphical services for exploring and offering information visually. And this increased moment variation contains new chapters on time sequence research, cluster research, and category methodologies, together with determination timber, random forests, and aid vector machines.
Purchase of the print ebook contains a unfastened publication in PDF, Kindle, and ePub codecs from Manning Publications.
About the Technology
Business professionals and researchers thrive on info, and R speaks the language of knowledge research. R is a robust programming language for statistical computing. in contrast to general-purpose instruments, R offers hundreds of thousands of modules for fixing on the subject of any data-crunching or presentation problem you are prone to face. R runs on all vital structures and is utilized by millions of significant agencies and associations worldwide.
About the Book
R in motion, moment Edition teaches you the way to take advantage of the R language by way of providing examples correct to medical, technical, and company builders. concentrating on sensible strategies, the publication bargains a crash path in statistics, together with based equipment for facing messy and incomplete facts. you are going to additionally grasp R's large graphical services for exploring and providing information visually. And this improved moment version comprises new chapters on forecasting, info mining, and dynamic record writing.
- Complete R language tutorial
- Using R to control, study, and visualize data
- Techniques for debugging courses and growing packages
- OOP in R
- Over one hundred sixty graphs
About the Author
Dr. Rob Kabacoff is a pro researcher and instructor who focuses on info research. He additionally keeps the preferred Quick-R web site at statmethods.net.
Table of Contents
PART 1 GETTING STARTED
- Introduction to R
- Creating a dataset
- Getting began with graphs
- Basic information management
- Advanced info management
PART 2 easy METHODS
- Basic graphs
- Basic statistics
PART three INTERMEDIATE METHODS
- Analysis of variance
- Power analysis
- Intermediate graphs
- Resampling records and bootstrapping
PART four complicated METHODS
- Generalized linear models
- Principal parts and issue analysis
- Time series
- Cluster analysis
- Advanced equipment for lacking data
PART five increasing YOUR SKILLS
- Advanced images with ggplot2
- Advanced programming
- Creating a package
- Creating dynamic reports
- Advanced snap shots with the lattice package deal to be had on-line simply from manning.com/kabacoff2