Software for Data Analysis: Programming with RSpringer, 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
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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 |
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489 | |
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Overige edities - Alles bekijken
Veelvoorkomende woorden en zinsdelen
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Populaire passages
Pagina 3 - it is better to have an approximate answer to the right question than an exact answer to the wrong one.