orange10.train: Simulated Orange Data

Description

These simulation data are described on the revised page 384-5 of the book. See the errata file for a revised version if your book is not the fourth or later printing.

There are 50 x four datasets - training and test data for the four dimensional problem, and training and test data for the 10 dimensional problem.

Usage

data(orange10.train)

Arguments

Format

The format is: List of 50 \$ 1 :`data.frame': 100 obs. of 12 variables: ..\$ class: int [1:100] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ... ..\$ F1 : num [1:100] -3.063 0.488 -2.791 2.010 -0.961 ... ..\$ F2 : num [1:100] -1.091 -1.025 0.180 0.875 -2.388 ... ..\$ F3 : num [1:100] 0.0466 -1.5788 -1.5160 1.8155 -1.7695 ... ..\$ F4 : num [1:100] -1.794 -2.314 -1.013 -2.374 -0.857 ... ..\$ F5 : num [1:100] 1.2722 2.0690 -0.0983 -2.2647 -0.7894 ... ..\$ F6 : num [1:100] 1.393 -0.398 -0.930 -1.687 -1.121 ... ..\$ F7 : num [1:100] -2.433 0.964 -0.387 0.851 -1.163 ... ..\$ F8 : num [1:100] 0.610 -0.621 -0.727 -0.319 1.914 ... ..\$ F9 : num [1:100] 0.904 -1.129 -0.377 -0.665 -0.691 ... ..\$ F10 : num [1:100] 1.591 0.533 0.837 1.285 -1.056 ... ..\$ f : Factor w/ 50 levels "1","2","3","4",..: 1 1 1 1 1 1 1 1 1 1 ... ... and then 49 similar ones.

Examples

Run this code

# NOT RUN {
str(orange10.train)
# }

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