R: Interpolating Logical Matrices

lminter {cba} | R Documentation

## Interpolating Logical Matrices

### Description

Interpolate a logical matrix into a lower-resolution representation.

### Usage

    lminter(x, block.size = 1, nbin = 0)

### Arguments

`x` | a logical matrix.
`block.size` | the interpolation block size.
`nbin` | the number of density bins.

### Details

Partitions a binary matrix into square blocks of specified size (length) and interpolates the number of `TRUE` values per block using the specified number of bins.

Note that the effective number of bins is one greater than the specified number because the zero bin is always included. Excess rows and columns at the lower or right margins of the matrix are ignored.

If the number of bins is null counts are mapped to zero and one thresholding at half of the number of distinct count values including zero. Thus, for even numbered block sizes there is a bias towards zero.

### Value

An integer matrix of bin numbers.

### Note

Package internal function.

### Author(s)

Christian Buchta

### See Also

`lmplot` for plotting logical matrices.

### Examples

    ## Not run:
    x <- matrix(sample(c(FALSE, TRUE), 4 ,rep=TRUE), ncol=2)
    lminter(x, block.size=2, nbin=2)

    ## End(Not run)

[Package cba version 0.2-21 Index]