Add smoothed fits to a plot
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 |
loess.args |
List of optional arguments for the |
f |
The smoother span for the |
col |
The fitted line colors. |
lty |
The fitted line types. |
lwd |
The fitted line widths. |
... |
Optional graphical parameters, see |
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.
# See examples for maPlot.
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