marray: ma2D – R documentation

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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

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.

Examples

# See examples for maNormMain.

marray

Exploratory analysis for two-color spotted microarray data

v1.68.0

LGPL

Authors

Yee Hwa (Jean) Yang <jeany@maths.usyd.edu.au> with contributions from Agnes Paquet and Sandrine Dudoit.

Initial release

2009-08-15