[R] lattice: loess smooths based on y-axis values
gunter.berton at gene.com
Fri Jan 18 16:08:28 CET 2013
I would reverse the xyplot call as xyplot(x~y,...) to get all axes set
up properly and then just write an explicit panel function using
loess() and predict.loess the "correct" way, e.g. as loess(y~x) to get
the (x,y) curve pairs to be plotted via panel.lines(y,x....). You
will have to make sure the pairs are ordered in decreasing x.
This presumes familiarity with loess() and lattice panel functions, of
course. Deepayan's book is a comprehensive resource for the latter.
Murrell's also contains a less comprehensive but probably adequate
overview. -- If you need anything at all, that is.
On Fri, Jan 18, 2013 at 3:36 AM, Raeanne Miller
<Raeanne.Miller at sams.ac.uk> wrote:
> Hi there,
> I'm using the lattice package to create an xy plot of abundance vs. depth for 5 stages of barnacle larvae from 5 species. Each panel of the plot represents a different stage, while different loess smoothers within each panel should represent different species.
> However, I would like depth to be on the y-axis and abundance to be on the x-axis, because this is more intuitive as an oceanographer. The smoothing curves would then represent the abundance profiles with depth of the larvae. I have tried just switching depth and abundance in the plot formula/coding, but this means that the loess smoother is based on averaging depth values for each abundance, which means that the curves give multiple possible abundances at each depth level. Rather, I would like the loess smooth to still be based on 'averaging' abundance at each depth.
> Essentially, I would like a mirror image of the plot from this code:
> ord<-order(Zoo_nocyp$Depth_m, decreasing=TRUE)
> data=Zoo_nocyp[Zoo_nocyp$log10Ab!="0" ,],
> par.settings=list(strip.background=list(col="white"), fontzize=list(text=16,points=10), lty = 0),
> space=0, border=NA,
> stack=TRUE, groups=Zoo_nocyp$SpeciesF,
> list(title="Species", cex.title=1,text=list(c("BB","BC","CH","SB","VS")),space="right",
> rectangles=list(size=2, border="white",col=c("blue","red","green","purple","orange"))),
> xlab="depth (m)", ylab="log10 abundance",
> which is different to what you get when you switch log10Ab and Depth_m.
> Is there any way to specify the smoothers to be based on sequential y-axis values, rather than x? Or to get the mirror image of a plot?
> I can provide a dataset offline, for those interested.
> Thanks very much,
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