built-in and idiomatic

Mod(diff(x)+1i*diff(y))

or even better

Mod(diff(x+1i*y))
Rich



On Tue, Feb 15, 2011 at 10:24 PM, William Dunlap <[email protected]> wrote:

> > -----Original Message-----
> > From: [email protected]
> > [mailto:[email protected]] On Behalf Of Darcy Webber
> > Sent: Tuesday, February 15, 2011 4:10 PM
> > To: [email protected]
> > Subject: [R] distance between consecutive points
> >
> > Dear R users,
> >
> > I have two coloumns of data, say x and y, referring to a list of
> > points in 2D space. I am trying to develop a code that will give me
> > the distances (using Pythagoras) between consecutive points (xi,yi)
> > and (xi+1,yi+1). So far I have come up with the following:
> >
> > for (i in 1:length(x)) d<-sqrt((x[i+1]-x[i])^2+(y[i+1]-y[i])^2)
>
> You want to assign to d[i] (where d is a preallocated numeric
> vector of length length(x)-1), not d, so you save all the
> distances and you don't want to do this for i==length(n),
> as there is no x[i+1] then.
>
> Here is more idiomatic R code that does it with a loop:
>   > hypot <- function(x,y)sqrt(x^2 + y^2) # must be a built-in for this
>   > d <- hypot( diff(x), diff(y) )
>   > d
>   [1] 0.01
>
> Bill Dunlap
> Spotfire, TIBCO Software
> wdunlap tibco.com
>  >
> > For example, if I use the two points (note, I have hundreds
> > of points for x,y)
> > x<-c(64.59,64.60)
> > y<-c(-179.28,-179.28)
> >
> > d should be 0.01.
> >
> > But it just doesn't give me the correct answer and I can't figure out
> > why. Any help would be much appreciated.
> >
> > Cheers,
> > D'Arcy
> >
> > ______________________________________________
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> > PLEASE do read the posting guide
> > http://www.R-project.org/posting-guide.html<http://www.r-project.org/posting-guide.html>
> > and provide commented, minimal, self-contained, reproducible code.
> >
>
> ______________________________________________
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> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html<http://www.r-project.org/posting-guide.html>
> and provide commented, minimal, self-contained, reproducible code.
>

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