Description Usage Arguments Author(s) See Also Examples
Will produce a scatter plot of variance estimators (logged) for each probe (probe set) against the corresponding mean intensity together with the fitted scale-parameter curve and points showing the knots of the used spline.
1 2 | scaleParameterPlot(model,main="Scale parameter curve",
col=1,pch='.',lty=1,curveCol=2,knotsPch=19,knotsCol=3)
|
model |
On object obtained from the function plw or lmw. |
main |
Main title of plot. |
col |
Color for individual points (mean,logs2). |
pch |
Plot symbol for individual points (mean,logs2). |
lty |
Line type for fitted scale parameter curve. |
curveCol |
Line color for fitted scale parameter curve. |
knotsPch |
Plot symbol for spline knots. |
knotsCol |
Plot color for spline knots. |
Magnus Astrand
plw, lmw
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | # ------------------------------------------
# Example using the result of the analysis of
# the 6 arrays in the AffySpikeU95Subset data set
# Loading the data
data(AffySpikeU95Subset)
# Defining design and contrast matrix
group<-factor(rep(1:2,each=3))
design<-model.matrix(~group-1)
contrast<-matrix(c(1,-1),1,2)
# Analyzing using plw
model1<-plw(AffySpikeU95Subset,design=design,contrast=contrast,
epsilon=0.01)
## Look at fitted curve for scale parameter
scaleParameterPlot(model1)
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