ma2D: Stratified bivariate robust local regression

In marray: Exploratory analysis for two-color spotted microarray data

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

Details

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

Value

A numeric vector of fitted values.

Author(s)

Sandrine Dudoit, http://www.stat.berkeley.edu/~sandrine.

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.

Example output

Loading required package: limma

marray documentation built on Nov. 8, 2020, 6:46 p.m.