Software for Data Analysis: Programming with R

Voorkant
Springer, 14 jun 2008 - 500 pagina's
Although statistical design is one of the oldest branches of statistics, its importance is ever increasing, especially in the face of the data flood that often faces statisticians. It is important to recognize the appropriate design, and to understand how to effectively implement it, being aware that the default settings from a computer package can easily provide an incorrect analysis. The goal of this book is to describe the principles that drive good design, paying attention to both the theoretical background and the problems arising from real experimental situations. Designs are motivated through actual experiments, ranging from the timeless agricultural randomized complete block, to microarray experiments, which naturally lead to split plot designs and balanced incomplete blocks.
 

Inhoudsopgave

Principles and Concepts
1
Using
11
The Basics
37
R Packages
83
Objects
111
Basic Data and Computations
139
Data Visualization and Graphics
237
Computing with Text
289
11
411
How R Works
453
A Some Notes on the History of S
475
Index
481
50
489
Index of R Classes and Types
497
Copyright

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Pagina 3 - it is better to have an approximate answer to the right question than an exact answer to the wrong one.

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