Hi Petr,
thank you for your reply regarding the scaling of loess curves. Our
situation is the following :
we do have 2 experiments, and for each experiment, the set of data is in
the following format : "nodeA (chr, start, end) - node B (chr, start, end)
- interaction intensity (between A and B)".
We are trying to SCALE the LOESS curves ( for the graphs "distance between
node A and node B" vs "intensity") for experiment1 vs
experiment2, in order
to make the experiments directly comparable.
I have attached 2 figures with the LOESS curves for experiment1 and
experiment2 to my email. Shall you have any suggestions, please let me
know. Thanks a lot,
-- bogdan
On Mon, Sep 7, 2015 at 7:34 AM, PIKAL Petr <petr.pikal at precheza.cz>
wrote:
> Hi
>
> what about xlim or ylim?
>
> Cheers
> Petr
>
>
> > -----Original Message-----
> > From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of
Bogdan
> > Tanasa
> > Sent: Monday, September 07, 2015 8:00 AM
> > To: r-help
> > Subject: [R] scaling loess curves
> >
> > Dear all,
> >
> > please could you advise about a method to scale 2 plots of LOESS
> > curves.
> > More specifically, we do have 2 sets of 5C data, and the loess plots
> > reflect the relationship between INTENSITY and DISTANCE (please see
the
> > R code below).
> >
> > I am looking for a method/formula to scale these 2 LOESS plots and
make
> > them directly comparable.
> >
> > many thanks,
> >
> > -- bogdan
> >
> >
> >
> > -------------- the R code ------------------
> >
> >
> >
> > a <- read.delim("a",header=T)
> > qplot(data=a,distance,intensity)+geom_smooth(method =
"loess", size > > 1,
> > span=0.01)+xlab("distance")+ylab("intensity")
> >
> >
> >
> > b <- read.delim("b",header=T)
> > qplot(data=b,distance,intensity)+geom_smooth(method =
"loess", size > > 1,
> > span=0.01)+xlab("distance")+ylab("intensity")
> >
> > [[alternative HTML version deleted]]
> >
> > ______________________________________________
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> > PLEASE do read the posting guide http://www.R-project.org/posting-
> > guide.html
> > and provide commented, minimal, self-contained, reproducible code.
>
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