[R] scaling loess curves

Bogdan Tanasa tanasa at gmail.com
Fri Sep 11 08:14:26 CEST 2015


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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