marray (version 1.50.0)

ma2D: Stratified bivariate robust local regression

Description

This function performs robust local regression of a variable z on predictor variables x and y, separately within values of a fourth variable g. It is used by maNorm2D for 2D spatial location normalization.

Usage

ma2D(x, y, z, g, w=NULL, subset=TRUE, span=0.4, ...)

Arguments

x

A numeric vector of predictor variables.

y

A numeric vector of predictor variables.

z

A numeric vector of responses.

g

Variables used to stratify the data.

w

An optional numeric vector of weights.

subset

A "logical" or "numeric" vector indicating the subset of points used to compute the fits.

span

The argument span which controls the degree of smoothing in the loess function.

...

Misc arguments

Value

A numeric vector of fitted values.

Details

z is regressed on x and y, separately within values of g using the loess function.

References

S. Dudoit and Y. H. Yang. (2002). Bioconductor R packages for exploratory analysis and normalization of cDNA microarray data. In G. Parmigiani, E. S. Garrett, R. A. Irizarry and S. L. Zeger, editors, The Analysis of Gene Expression Data: Methods and Software, Springer, New York.

See Also

maNormMain, maNorm2D, loess.

Examples

# See examples for maNormMain.