maLoessLines: Add smoothed fits to a plot

Description

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.

Usage

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, ...)

Arguments

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.

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.

Value

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.

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

Run this code

# See examples for maPlot.

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