[R] newbie:looking for an efficient way to compute distance vector

Wed Jan 23 22:39:06 CET 2008

```hello,

I tried your suggestion ,but the first line :
z <- outer(x, x, "-")
seems to fail pretty quickly as the length of the x vector increases.  This
is probably because it has to create a matrix of dimension dim(x)*dim(x). I
am wondering if that can be quicker than a building a loop.

if my vector x  holds a time series, I am trying to find for each element i
of x the nb of steps j so that the value  x[j]  differs from x[i] by more
than a predefined step value.

Regards

Benilton Carvalho wrote:
>
> i'm not so sure i understood, but you might want something in the
> lines of:
>
> z <- outer(x, x, "-")
> (abs(z)>step)*outer(1:length(x), 1:length(x))*z
>
> (not tested)
>
> b
>
>
> On Jan 23, 2008, at 11:32 AM, papagenic wrote:
>
>>
>> dear experts,
>>
>> I am new to R and am trying to compute a vector y from  a vector x
>> where :
>> y[i] = sign(x[j]-x[i])*(j-i)  with j the first index after i where
>> abs(x[j]-x[i]) > to a given step
>> y[i] is 0 if there is no such j
>>
>> I can write this in R as follows
>> for(i in 1:length(x)) {
>>   y[i]=0
>>   for(j in i:length(x)) {
>>      if (abs(x[j]-x[i]) > step) {
>>         y[i]=sign(x[j]-x[i])*(j-i)
>>         break;
>>      }
>>   }
>> }
>>
>> but I wonder if there is a more efficient way to write this. I
>> understand
>> explicit looping can often be avoided in R using vector notation.
>>
>> --
>> View this message in context:
>> http://www.nabble.com/newbie%3Alooking-for-an-efficient-way-to-compute-distance-vector-tp15045583p15045583.html
>> Sent from the R help mailing list archive at Nabble.com.
>>
>> ______________________________________________
>> R-help at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help