[R-SIG-Finance] Vectorized local min/max finding

[Patrick Burns]

1) The 'rle' function is likely to help you.
Try:

rle(diff > 0)

2) You are likely to hear about this question
not being finance specific so other venues
would be more appropriate.

Pat


On 23/03/2012 10:07, Paolo Giusti wrote:
> I am trying to find a vectorized solution (if there is one) to a simple problem.
>
> I have a vector of values representing the close prices of a security
> and another vector of their moving average.
> I construct a simple "distance" object of their difference:
>
> diff<- close - ma
>
> Now I would like to calculate some simple statistics like:
>
> 1. The number of times the diff crosses the '0' line
> 2. The duration between each cross (number of samples)
> 3. The min and max values of diff between each cross.
>
> This is easy to do using "for loops" but really slow. Given this is a
> really basic problem I'm hoping that there a faster solution.
>
> Thank you
> Paolo
>
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-- 
Patrick Burns
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