ionosphere: Johns Hopkins University Ionosphere database.

In rrcov: Scalable Robust Estimators with High Breakdown Point

Johns Hopkins University Ionosphere database.

Description

”This radar data was collected by a system in Goose Bay, Labrador. This system consists of a phased array of 16 high-frequency antennas with a total transmitted power on the order of 6.4 kilowatts. The targets were free electrons in the ionosphere. "good" radar returns are those showing evidence of some type of structure in the ionosphere. "bad" returns are those that do not; their signals pass through the ionosphere. Received signals were processed using an autocorrelation function whose arguments are the time of a pulse and the pulse number. There were 17 described by 2 attributes per pulse number, corresponding to the complex values returned by the function resulting from the complex electromagnetic signal.” [UCI archive]

Usage

data(ionosphere)

Format

A data frame with 351 rows and 33 variables: 32 measurements and one (the last, Class) grouping variable: 225 'good' and 126 'bad'.

The original dataset at UCI contains 351 rows and 35 columns. The first 34 columns are features, the last column contains the classification label of 'g' and 'b'. The first feature is binary and the second one is only 0s, one grouping variable - factor with labels 'good' and 'bad'.

Source

Source: Space Physics Group; Applied Physics Laboratory; Johns Hopkins University; Johns Hopkins Road; Laurel; MD 20723

Donor: Vince Sigillito ([e-mail])

The data have been taken from the UCI Repository Of Machine Learning Databases at https://archive.ics.uci.edu/ml/datasets/ionosphere

This data set, with the original 34 features is available in the package mlbench and a different data set (refering to the same UCI repository) is available in the package dprep (archived on CRAN).

References

Sigillito, V. G., Wing, S. P., Hutton, L. V., and Baker, K. B. (1989). Classification of radar returns from the ionosphere using neural networks. Johns Hopkins APL Technical Digest, 10, 262-266.

Examples

 data(ionosphere)
 ionosphere[, 1:6] |> pairs()

rrcov documentation built on July 9, 2023, 6:03 p.m.