Hi there,
I didn't fully follow your code, but allow me to ask:
*What is your input - and what do you want to output to be?*

Is you input a vector (array) of points?
Is your output some sort of averaging of the points according to order?

If you searching for a function to "smooth" a sequance of points?
Have a look at this:
http://en.wikipedia.org/wiki/Lowess
In R you can use
?loess

Cheers,
Tal




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On Sun, Dec 5, 2010 at 12:11 AM, madr <madrazel@interia.pl> wrote:

>
> I know little of statistics and have created this function out of
> intuition.
> But since this algorithm is so basic I wonder what is the proper name of
> this function and is it build in R.
>
> here is some code in PHP to illustrate what the function is doing, it uses
> some function I created but the meaning is obvious:
>
> #get csv file and interchange rows with columns to get two arrays
> $csv = aic(getcsv(file_get_contents("out.csv")));
> #now those arrays contained in one bigger array are sorted
> array_multisort($csv[0],SORT_NUMERIC,$csv[1],SORT_NUMERIC);
>
> #second array is created and values that will be put on x or 0 axis are
> made
> unique with every y or 1
> # value is going into array under x/0 it will be used after to make mean
> arithmetic, geometric or harmonic
> foreach ($csv[0] as $k=>$x) {
>        $sum[$x][] = $csv[1][$k];
> }
>
> #the x values are put on other array for later use
> $x = array_keys($sum);
> $rang = $sum = array_values($sum);
>
> #and here is the key feature, to smooth the line the function looks for (in
> this case) 500 values above and beond given value
> # if they exist of course, the search stops when search goes outside the
> array
> # the search also stop when number of gathered values goes beyond 500 or
> next value that would be added will be making
> # this value more than 500, you can imagine that there could be a large
> spike in data and this would be affecting points near
> # if this precaution haven't been conceived
> foreach ($rang as $k=>&$v) {
>        if (!($k % 100)) echo $k.' ';
>        $up = $down = array();
>        $walk = 0;
>        while (true) {
>                ++$walk;
>                if (isset($sum[$k-$walk]) and
> count($v)+count($up)+count($sum[$k-$walk])<500)
>                        $up = array_merge($up,$sum[$k-$walk]);
>                else break;
>        }
>        $walk = 0;
>        while (true) {
>                ++$walk;
>                if (isset($sum[$k+$walk]) and
> count($v)+count($down)+count($sum[$k+$walk])<500)
>                        $down = array_merge($down,$sum[$k+$walk]);
>                else break;
>        }
>
>        $rang[$k] = array_merge($up,$rang[$k],$down);
>        # after gathering data for given point it makes a mean, in this case
> arithmetic
>        $rang[$k] = array_sum($rang[$k])/count($rang[$k]);
> }
> # now the array with x values can be added and fipped array is ready to go
> to a file
> $csv = aic(array($x,$rang));
>
> # in php this is awfully slow but I like it because it is sensitive for the
> densiti of the data and to not goes away in strange
> # directions when data density becomes very low
> --
> View this message in context:
> http://r.789695.n4.nabble.com/what-is-this-averaging-function-called-has-R-a-built-in-function-for-it-tp3072826p3072826.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> 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.
>

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