Software for Data Analysis: Programming with R (Statistics and Computing)

Software for Data Analysis: Programming with R (Statistics and Computing)

John M. Chambers

Language: English

Pages: 500

ISBN: 0387759352

Format: PDF / Kindle (mobi) / ePub

John Chambers turns his attention to R, the enormously successful open-source system based on the S language. His book guides the reader through programming with R, beginning with simple interactive use and progressing by gradual stages, starting with simple functions. More advanced programming techniques can be added as needed, allowing users to grow into software contributors, benefiting their careers and the community. R packages provide a powerful mechanism for contributions to be organized and communicated. This is the only advanced programming book on R, written by the author of the S language from which R evolved.

Mike Meyers' CompTIA Security+ Certification Passport (Exam SY0-401)

Project 2016 For Dummies

Advanced CORBA Programming with C++

Hello Raspberry Pi!: Python programming for kids and other beginners

Microsoft Dynamics AX 2012 Financial Management

Quantum Information and Quantum Computing (Kinki University Series on Quantum Computing, Volume 6)















in the example above). The natural functional interface would take a model and the name of a variable as arguments and return the model with all terms involving that variable dropped. An additional computation is required to construct the formulas of the form shown above, starting from the model and the name of the variable. Going from the variable to the formula is an exercise in computing with text, and is shown as the function dropFormula() in Section 8.4, page 304. If we assume that

unloading of the methods package, for example: > trace(methods:::.onUnload, exit = browser) Tracing function ".onUnload" in package "methods (not-exported)" [1] ".onUnload" The comment "not-exported" in the printed message confirms that this function is not exported from the package. 74 CHAPTER 3. PROGRAMMING WITH R: THE BASICS R implements some fundamental computations as primitive functions. These peculiar objects are not true functions, but essentially an instruction to send the evaluator

definitions. They can, with care, be used as slots in class definitions. 5.2 Replacement Expressions In discussing names as references, we stated that an object assigned in an environment would only be changed by another assignment. But R computations frequently have replacement expressions such as: diag(x) <- diag(x) + epsilon 116 CHAPTER 5. OBJECTS z[[i]] <- lowerBound lmFit$resid[large] <- maxR Don’t these modify the objects referred to by x, z and lmFit? No, technically they do not: A

with one important exception. When it is created, the function object gets a reference to the environment in which the defining expression was evaluated. That reference is a built-in property of the function. If the expression is evaluated at the command level of the session or in a file sourced in from there, the environment is the global environment. This environment is overridden when packages have a namespace, and replaced by the namespace environment. There are two other common situations in

they are installed (2.5, 25). The system itself can be downloaded and installed from repositories on the Web (2.6, 29); there are also a number of resources on the Web for information about R (2.7, 31). Lastly, we examine aspects of R that may raise difficulties for some new users (2.8, 34). 2.1 Starting R R runs on the commonly used platforms for personal computing: Windows R , Mac OS X R , Linux, and some versions of UNIX R . In the usual desktop environments for these platforms, users will

Download sample


About admin