Über den Autor
Margot Tollefson is a self-employed consulting statistician residing in the tiny town of Stratford in the corn and soybean fields of north-central Iowa.She started using the S-Plus language in the early 1990s and was happy to switch to R about ten years ago. Margot enjoys writing her own functions in R - to do plots and simulations, as well as to implement custom modeling and use published statistical methods. She earned her graduate degrees in statistics from Iowa State University in Ames, Iowa.
- Downloading R and Setting R Up in a File System
- The R Prompt
- Assignments and Operators
- Modes of Objects
- The Classes and Types
- Packaged Functions
- User Defined Functions
- How to Use a Function
- Inputting or Creating Data
- Outputting Data and Output
- Manipulating Objects
- Flow Conditioners
- Condition Based Functions
- Some Examples of Conditioning
- Some Common Functions
- The Packages base, stats, and graphics
- Tricks of the Trade
The R Quick Syntax Reference is a handy reference book detailing the intricacies of the R language. Not only is R a free, open-source tool, R is powerful, flexible, and has state of the art statistical techniques available. With the many details which must be correct when using any language, however, the R Quick Syntax Reference makes using R easier.
Starting with the basic structure of R, the book takes you on a journey through the terminology used in R and the syntax required to make R work. You will find looking up the correct form for an expression quick and easy. With a copy of the R Quick Syntax Reference in hand, you will find that are able to use the multitude of functions available to the R user and are even able to write your own functions to explore and analyze data.
Takes you through learning R, from download to statistical analysis.
Clears the confusion around object types and how to use and convert the types.
Tells you how to search for statistical techniques using the R help pages.
The R Quick Syntax Reference is a handy reference book detailing the intricacies of the R language.