I have a recurring graphics issue that I've not been able to resolve with
R. If I make a series of regression estimates and then plot the estimated
function for the regression lines over a scatter plot of the data, e.g.,
using a sequence of plot( ) and lines ( ) similar to those below
plot(dep12spp13ph1$DAYSWETm2,dep12spp13ph1$AFTERDECOMP,pch=dep12spp13ph1$spp,cex=0.75,ylab="Proportion
of biomass after leaching", xlab="Number of days in
wetland",xlim=c(0,250),ylim=c(0,1))
xplot<- 0:243
xplotbsk64deg1<-bs(xplot,knot=62,degree=1,Boundary.knots=c(0,243))
lines(xplot,exp(xplotbsk64deg1 %*%
ph1.decomp.75.bs$coef[c(1,2)]),col="blue")
lines(xplot,exp(xplotbsk64deg1 %*%
ph1.decomp.75.bs$coef[c(3,4)]),col="red")
and then attempt to copy the resulting graph from R graph window into a
Windows metafile to paste into another application like Power Point or
Word, the resulting regression lines have alot of jagged edges due to
resolution/pixelation issues. For a nonlinear function like the one
plotted above, changing the number of pairs of points evaluated with the
lines( ) function makes the plot look better or worse but never as good as
is possible if there was some sort of "smoothing" done on the plotted line
pixels. I do this type of graphing in SYSTAT all the time and it looks
great (but I would prefer not to have to jump back and forth between R and
SYSTAT ). If I save the graph (or print) from R into an encapsulated
Post-Script file, then the resulting regression line pixels are "smoothed"
out and look nice, but then the symbols have been decomposed into their
constituent elements and are screwed up. I'm guessing somewhere in R's
graphing parameters/controls there might be a solution but I've yet to
find it. Any suggestions would be welcome.
Brian
Brian S. Cade
U. S. Geological Survey
Fort Collins Science Center
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8818
email: [EMAIL PROTECTED]
tel: 970 226-9326
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