ma.matrix: Calculation of moving average for a matrix

In OLIN: Optimized local intensity-dependent normalisation of two-color microarrays

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)

OLIN documentation built on Nov. 8, 2020, 7:44 p.m.