Thanks
I would never deduct it out from the help page of approx.
Regards
Petr
r-help-boun...@r-project.org napsal dne 08.03.2010 15:47:37:
> Perhaps approx:
>
> approx(range(x), c(0.5, 1), xout = x)$y
>
> A one-linear, but longer, is also possible based on lm:
>
> predict(lm(c(0.5, 1) ~ x, data.frame(x = range(x))), data.frame(x))
>
>
> On Mon, Mar 8, 2010 at 9:37 AM, Petr PIKAL <petr.pi...@precheza.cz>
wrote:
> > Hi all
> >
> > I know I probably reinvented wheel but it was maybe simpler then
search in
> > docs or ask help before I did my part.
> >
> > I made a simple function which can scale a vector between chosen
values.
> > Do anybody know simpler/better approach?
> >
> > myscale<-function(x, miny=0.5, maxy=1) {
> > rx <- diff(range(x, na.rm=T))
> > minx <- min(x, na.rm=T)
> > tga <- (maxy-miny)/rx
> > b <- miny - tga* minx
> > res <- x*tga+b
> > res
> > }
> >
> > x <- c(5,30,50)
> >
> > myscale(x)
> > [1] 0.5000000 0.7777778 1.0000000
> >
> > Thank you
> >
> > Regards
> > Petr
> >
> > ______________________________________________
> > R-help@r-project.org mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
> >
>
> ______________________________________________
> R-help@r-project.org mailing list
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> PLEASE do read the posting guide
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> and provide commented, minimal, self-contained, reproducible code.
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