dprep (version 3.0.2)

sonar: The Sonar dataset

Description

This is the sonar dataset. It containis information on 208 objects and 60 attributes. The objects are classified in two classes: "rock" and "mine".

Usage

data(sonar)

Format

A data frame with 208 observations on 61 variables. The first 60 represent the energy within a particular frequency band,integrated over a certain period of time. The last column contains the class labels. There are two classes 0 if the object is a rock, and 1 if the object is a mine (metal cylinder). The range value of each attribute varies from 0.0 to 1.0.

Source

The UCI Machine Learning Database Repository at:

• ftp://ftp.ics.uci.edu/pub/machine-learning-databases
• http://www.ics.uci.edu/~mlearn/MLRepository.html

Examples

## Not run: #Robust detection of outliers in sonar-class1 using MVE----
# data(sonar)
# robout(sonar,1,"mve",rep=10)
# ## End(Not run)