plot.smooth.line: Adding Lowess Lines to Current Plot

In gnyamundanda/sma: Statistical Microarray Analysis

Description

This function adds a lowess line to the current plot. The type of line can be specified as well as other parameters.

Usage

plot.smooth.line(x, M, f=0.1, ...)

Arguments

x	a vector giving the x-coordinates of the points in the scatter plot. In the microarray context, this could be a vector of average log intensities. ie A
M	a vector giving the y-coordinates of the points in the scatter plot. In the microarray context, this could be a vector of log intensity ratios.
f	the smoother span. This gives the proportion of points in the plot which influence the smoothness at each value. Larger values give greater smoothness.
...	graphical parameters may also be supplied as arguments to the function (see par).

Value

lines are added to the current plot.

Note

An M vs A plot must be constructed prior to the execution of this function.

References

Chambers, J. M., Cleveland, W. S., Kleiner, B. and Tukey, P. A. (1983). Graphical Methods for Data Analysis. Wadsworth, Belmont, California.

See Also

plot.mva, stat.ma, lines, lowess, smooth.

Examples

data(MouseArray)
## mouse.setup <- init.grid()
## mouse.data <- init.data()

plot.mva(mouse.data, mouse.setup)
plot.smooth.line(mouse.lratio$A, mouse.lratio$M)

gnyamundanda/sma documentation built on May 3, 2019, 5:17 p.m.