Download PDF by W. John Braun, Duncan J. Murdoch: A first course in statistical programming with R

By W. John Braun, Duncan J. Murdoch

ISBN-10: 0521694248

ISBN-13: 9780521694247

ISBN-10: 0521872650

ISBN-13: 9780521872652

This new colour variation of Braun and Murdoch's bestselling textbook integrates use of the RStudio platform and provides dialogue of more moderen photographs platforms, large exploration of Markov chain Monte Carlo, professional recommendation on universal errors messages, motivating purposes of matrix decompositions, and various new examples and routines. this is often the single creation had to commence programming in R, the computing average for examining info. Co-written by way of an R middle group member and a longtime R writer, this booklet comes with actual R code that complies with the criteria of the language. not like different introductory books at the R process, this booklet emphasizes programming, together with the rules that practice to such a lot computing languages, and methods used to advance extra complicated initiatives. options, datasets, and any errata can be found from the book's web site. the numerous examples, all from genuine functions, make it really precious for someone operating in functional information research.

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Additional resources for A first course in statistical programming with R

Example text

This is sometimes called an inclusive or, to distinguish it from the exclusive or “A xor B,” which says that it is either clear or raining, but not both. There is also the “not A” statement, which says that it is not clear. There is a very important relation between Boolean algebra and set theory. e. the intersection A ∩ B. e. the union A∪B. e. Ac . Because there are only two possible values (true and false), we can record all Boolean operations in a table. 1 we list the basic Boolean expressions, on the second line the equivalent way to code them in R, and in the body of the table the results of the operations.

The idea of Boolean algebra is to formalize a mathematical approach to logic. Logic deals with statements that are either true or false. g. A is the statement that the sky is clear, and B is the statement that it is raining. Depending on the weather where you are, those two statements may both be true (there is a “sunshower”), A may be true and B false (the usual clear day), A false and B true (the usual rainy day), or both may be false (a cloudy but dry day). Boolean algebra tells us how to evaluate the truth of compound statements.

7 An example of side-by-side boxplots. 5 38 setosa versicolor virginica substantial differences between the mean lengths for the species, and that there is one unusually small specimen among the virginica samples. 5 Scatterplots When doing statistics, most of the interesting problems have to do with the relationships between different measurements. To study this, one of the most commonly used plots is the scatterplot, in which points (xi , yi ), i = 1, . . , n are drawn using dots or other symbols.

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A first course in statistical programming with R by W. John Braun, Duncan J. Murdoch


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