ma.matrix {OLIN} | R Documentation

## Calculation of moving average for a matrix

### Description

Using a sliding square window this function produces the moving average for a matrix.

### Usage

    ma.matrix(X,av="median",delta= 2,edgeNA=FALSE )

### Arguments

`X` | matrix
`av` | averaging by mean or median (default)
`delta` | integer determining the size of the sliding square window (2*delta+1)x(2*delta+1).
`edgeNA` | treatment of edges of array: For `edgeNA=TRUE`, averaged values of sliding windows are set to NA if the corresponding windows extend over the edges of the matrix.

### Details

A square window with size (2*delta+1)x(2*delta+1) is moved over the entire matrix and a new matrix is created with each value equals the average value in the corresponding window. This procedure defines a local regression of zeroth order.

### Value

Matrix with average values of matrix `X`.

### Author(s)

Matthias E. Futschik (http://itb.biologie.hu-berlin.de/~futschik)

### See Also

`ma.vector`

### Examples

    ### LOADING DATA
    data(sw)

    ### GENERATION OF MATRIX
     Morig <- v2m(maM(sw)[,1],Ngc=maNgc(sw),Ngr=maNgr(sw),Nsc=maNsc(sw),Nsr=maNsr(sw),visu=TRUE)

    ### AVERAGING BY MA.MATRIX
     Mav <- ma.matrix(Morig,av="median",delta= 2,edgeNA=FALSE )

    ### VISUALISATION
     m2v(Mav,Ngc=maNgc(sw),Ngr=maNgr(sw),Nsc=maNsc(sw),Nsr=maNsr(sw),visu=TRUE)

[Package OLIN version 1.3.2 Index]