My purpose was only to demonstrate a generic class to do stats for both scalar and complex types. I don't know if I have time or will-power to turn it into a real boost submission.
I hope you don't mind, but I have taken your statistics class and vamped it up. I have made it more boost/standard library-like and fixed the portability problems (although I have only tested it on MSVC7).
I have also added basic iterator and container support so it can make use of STL facilities. This will still require work, but the basics are there.
Paul A. Bristow wrote:
Sadly (but perhaps not too surpringly) this does not seem to work for MSVC 7.0
with complex. (OK without)
I have got it working for complex and real numbers, but I don't know if the results are correct for the complex number test, because I don't know complex-based statistics; also, is it valid to use complex numbers with imaginary values in these statistics?
To make it work I made 4 modifications:
[1] wrapped the template partial specialization for compilers that don't support it;
[2] the MSVC library does not overload std::abs for the different floating point types - this lead to conversion errors and an incorrect stddev/variance calculation;
[3] the MSVC compiler complained that it could not divide a complex number by count, so I added conversions to the base type;
[4] if template partial specialization is available, there will be complaints on the statistical functions about
complex -> real
number conversions - this is what stat_t< T >::convert is for.
This has not been tested on any other compiler, so I don't know exactly how compatible it is.
A full working example with at least a few comments might sell this better?
I have created a basic test program with a few examples. This is not an extensive test, but will give a basic idea of how to use it.
-rhd- mailto:[EMAIL PROTECTED]
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