Download An Introduction to R Software for Statistical Modelling & by Kuhnert&Venable PDF

By Kuhnert&Venable

Show description

Read Online or Download An Introduction to R Software for Statistical Modelling & Computing PDF

Best compilers books

Linkers & Loaders

No matter what your programming language, no matter what your platform, you possibly faucet into linker and loader capabilities for all time. yet have you learnt the right way to use them to their maximum attainable virtue? in simple terms now, with the e-book of Linkers & Loaders, is there an authoritative ebook committed totally to those deep-seated compile-time and run-time methods.

Abstraktion - Einfuhrung in die Programmierung

"Die Macht der Abstraktion" ist eine Einführung in die Entwicklung von Programmen und die dazugehörigen formalen Grundlagen. Im Zentrum stehen Konstruktionsanleitungen, die die systematische Konstruktion von Programmen fördern, sowie Techniken zur Abstraktion, welche die Umsetzung der Konstruktionsanleitungen ermöglichen.

Einführung in die Constraint-Programmierung: Grundlagen, Methoden, Sprachen, Anwendungen

Die Constraint-Programmierung liefert Methoden zur effizienten Modellierung von Systemen oder zur L? sung von Problemen, f? r die nur unvollst? ndige Informationen vorliegen. Ebenso hilft sie kombinatorische Probleme zu l? sen oder komplexe Deduktionssysteme zu entwickeln. Dieses kompakte Lehrbuch f?

Lisp Lore: A Guide to Programming the Lisp Machine

This booklet had its genesis within the following piece of computing device mail: From allegra! joan-b Tue Dec 18 09:15:54 1984 To: sola! hjb topic: lispm Hank, i have been speaking with Mark Plotnik and invoice Gale approximately asking you to behavior a uncomplicated direction on utilizing the lisp desktop. Mark, for example, would like to hide fundamentals just like the taste method, and so forth.

Additional info for An Introduction to R Software for Statistical Modelling & Computing

Example text

An easy way to avoid assigning values/objects to built-in functions is to check the contents of the object you wish to use. This also stops you from overwriting the contents of a previously saved object. function > help(function) or click on the Help menu within R. search("topic") or click on the Help menu within R The R Language: Data Types There are four atomic data types in R. • Numeric > value <- 605 > value [1] 605 • Character > string <- "Hello World" > string [1] "Hello World" c CSIRO Australia, 2005 Course Materials and Exercises R and the Tinn-R Editor 36 • Logical > 2 < 4 [1] TRUE • Complex number > cn <- 2 + 3i > cn [1] 2+3i The attribute of an object becomes important when manipulating objects.

Any operation on an NA results in an NA. na() function can be used to check for missing values in an object. number functions in a similar way as shown above. c CSIRO Australia, 2005 Course Materials and Exercises R and the Tinn-R Editor 38 These values come about usually from a division by zero or taking the log of zero. > value1 <- 5/0 > value2 <- log(0) > value3 <- 0/0 > cat("value1 = ",value1," " value2 = ",value2, value3 = ",value3,"\n") value1 = Inf value2 = -Inf value3 = NaN Arithmetic and Logical Operators The last few sections used a variety of arithmetic and logical operators to evaluate expressions.

Here are a few examples: > L1[["x"]] [1] 2 1 1 4 5 3 4 5 5 3 3 3 4 3 2 3 3 2 3 1 > L1$x [1] 2 1 1 4 5 3 4 5 5 3 3 3 4 3 2 3 3 2 3 1 > L1[[1]] [1] 2 1 1 4 5 3 4 5 5 3 3 3 4 3 2 3 3 2 3 1 To extract a sublist, we use single brackets. The following example extracts the first component only. > L1[1] $x [1] 2 1 1 4 5 3 4 5 5 3 3 3 4 3 2 3 3 2 3 1 Working with Lists The length of a list is equal to the number of components in that list. So in the previous example, the number of components in L1 equals 3.

Download PDF sample

Rated 4.75 of 5 – based on 7 votes