waveform.train {ElemStatLearn} | R Documentation |
Simulated Waveform Data
Description
This is a simulated three-class problem with 21 variables, and
considered to be a difficult pattern recognition problem.
Usage
data(waveform.train)
Format
A data frame with 300 observations on the following 22 variables.
- y
- a numeric vector
- x.1
- a numeric vector
- x.2
- a numeric vector
- x.3
- a numeric vector
- x.4
- a numeric vector
- x.5
- a numeric vector
- x.6
- a numeric vector
- x.7
- a numeric vector
- x.8
- a numeric vector
- x.9
- a numeric vector
- x.10
- a numeric vector
- x.11
- a numeric vector
- x.12
- a numeric vector
- x.13
- a numeric vector
- x.14
- a numeric vector
- x.15
- a numeric vector
- x.16
- a numeric vector
- x.17
- a numeric vector
- x.18
- a numeric vector
- x.19
- a numeric vector
- x.20
- a numeric vector
- x.21
- a numeric vector
Examples
str(waveform.train)
[Package
ElemStatLearn version 0.1-6
Index]