maLoessLines: Add smoothed fits to a plot
In marray: Exploratory analysis for two-color spotted microarray data

Description Usage Arguments Value Author(s) References See Also Examples

This function may be used to compute and plot loess or lowess fits for an existing plot. The plot can be produced by plot, maPlot, or maPlot.func.

maLoessLines(subset=TRUE, weights=NULL, loess.args=list(span = 0.4,
degree=1, family="symmetric", control=loess.control(trace.hat =
"approximate", iterations=5, surface="direct")), col=2, lty=1, lwd=2.5, ...)

maLowessLines(subset = TRUE, f = 0.3, col = 2, lty = 1, lwd = 2.5, ...)

`subset`	A "logical" or "numeric" vector indicating the subset of points used to compute the fits.
`weights`	Optional "numeric" vector of weights – for `maLoessLines` only.
`loess.args`	List of optional arguments for the `loess` functions – for `maLoessLines` only.
`f`	The smoother span for the `lowess` function – for `maLowessLines` only.
`col`	The fitted line colors.
`lty`	The fitted line types.
`lwd`	The fitted line widths.
`...`	Optional graphical parameters, see `par`.

A function with bindings for subset, weights, loess.args, col, lty, lwd, and .... This latter function takes as arguments x and y, the abscissa and ordinates of points on the plot, and z a vector of discrete values used to stratify the points. Loess (or lowess) fits are performed separately within values of z.

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

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.

loess, lowess, maPlot, maPlot.func.