OLIN (version 1.50.0)

ma.matrix: 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.

Value

X.

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.

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)