bananas: Two-dimensional synthetic data set of two banana shaped...

In benmack/oneClass: One-class classification in the absence of test data

Description

The data is stored as raster* objects. The two features are stored in bananas.x and the class information in bananas$y. This data set allows visualization of predictive models in the two-dimensional feature space.

Usage

data(bananas)

Format

bananas$x is a two-dimensional raster stack with the features and bananas.y a one-dimensional raster with the class labels. A data frame with a training set is also available (bananas$tr).

Examples

## Not run: 

require(raster)
data(bananas)

### plot the features and labels (raster)
plot(stack(bananas$x, bananas$y))

### plot the training data
plot( bananas$tr[, -1],
      pch = ifelse(bananas$tr$y==1, 16, 4 ))

### the training data bananas$tr has been created as follows:

set.seed(123456)
tr.cells <- c( sample( which( values( bananas$y ) == 1 ), 20 ), 
              sample( ncell( bananas$y ), 500 ) )
bananas$tr <- c( y = rep( c( 1, 0 ), c( 20, 500 ) ), 
               extract( bananas$x, tr.cells ) ) 

## End(Not run)

benmack/oneClass documentation built on Dec. 15, 2020, 7:38 p.m.