waveform.train: Simulated Waveform 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

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)

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