orange4.train: Simulated Orange Data

In ElemStatLearn: Data Sets, Functions and Examples from the Book: "The Elements of Statistical Learning, Data Mining, Inference, and Prediction" by Trevor Hastie, Robert Tibshirani and Jerome Friedman

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(orange4.train)

Format

The format is: List of 50 \$ 1 :‘data.frame’: 100 obs. of 6 variables: ..\$ class: int [1:100] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ... ..\$ F1 : num [1:100] -0.252 -2.482 -2.497 2.220 0.727 ... ..\$ F2 : num [1:100] 2.73 1.48 -2.13 -1.64 -2.62 ... ..\$ F3 : num [1:100] -0.864 0.411 0.136 -1.809 1.344 ... ..\$ F4 : num [1:100] 1.535 1.335 0.482 1.682 0.834 ... ..\$ f : Factor w/ 50 levels "1","2","3","4",..: 1 1 1 1 1 1 1 1 1 1 ... ... and then 49 similar ones.

Source

Data simulated for the book.

Examples

str(orange4.train)

ElemStatLearn documentation built on Aug. 12, 2019, 9:04 a.m.