Ray Burkholder wrote:
A general question about its capabilities. The library is excellent for getting updated statistics as one adds values to an accumulator.
I have one wrinkle. I have long running time series, and wish to evaluate statistics on a window of the data, say the last 100 values. Can the Accumulator framework be used in a 'windowed' situation?
It can, but you would have to code up such a windowing accumulator yourself. The docs show how to extend the accumulators framework. An accumulator like a rolling average is non-trivial, though. I once wrote a rolling average function object for use with the Boost.Time_series library. It uses boost::circular_buffer to store the last N elements. You would need to do a bit of work to adapt this for use with the accumulators library, but the logic is there for the taking. You can find it here: http://lists.boost.org/Archives/boost/2007/07/124979.php -- Eric Niebler Boost Consulting www.boost-consulting.com