Statistics Open For All

Re: pysqlite-2.5.5-win32-py2.6.exe – it wouldn’t install on my clean virtual XP environment.  It was unable to locate the component msvcr71.dll. So I was forced to include that in the Windows package.

The mysqldb module doesn’t currently have an official 2.6 version of the Windows installer.  Which was the main reason I had kept the Windows version to Python 2.5 for which there was one  (SciPy was no longer relevant so shifting to 2.6 for all installers was definitely in contention).  And there had been mixed experience of mysqldb packages put together by third parties (https://sourceforge.net/forum/forum.php?thread_id=2316047&forum_id=70460).  But I really needed a feature which was introduced in Python 2.6 – namely the float method as_integer_ratio.  This was needed to enable my float to decimal function to work (http://docs.python.org/library/decimal.html) which I needed to get the level of precision required to pass the hardest NIST ANOVA test (http://www.itl.nist.gov/div898/strd/anova/SmLs09.html). In the end I went with http://www.thescotties.com/mysql-python/test/MySQL-python-1.2.3c1.win32-py2.6.exe.  Another option was http://www.codegood.com/archives/4.

BTW there is a lot to like about Python 2.6 – it is the gateway to the 3 series and will make that eventual transition a lot easier.

Python has a brilliant decimal module (http://docs.python.org/library/decimal.html) you may need if you want to avoid floating point errors.  This may be necessary if you are faced with compounding errors under special circumstances e.g. if testing a statistical routine against a purpose-built test dataset (e.g. http://www.itl.nist.gov/div898/strd/anova/SmLs09_cv.html).  The performance hit is substantial, however, so it has to be used judiciously.  Anyway, here is an example:

import decimal
D = decimal.Decimal
decimal.getcontext().prec = 120
d1 = D("1.1")
f1 = 1.1
print "Decimal result is: %s" % round((d1**1000 - D("2.46993291801e+41")),3)
print "Floating point result is: %s" % round((f1**1000 - 2.46993291801e+41),3)
>>>

Decimal result is: -4.17366587591e+29
Floating point result is: -3.97456123863e+29

Usually, floating point is good enough – but not under all circumstances.  In which case, it pays to be familiar with the decimal module.

If you had problems installing the Windows version of SOFA 0.6.8, try 0.7.0 (http://www.sofastatistics.com/misc/sofa-0.7.0_python-2.5.zip).  It resolves the main issues with that installation package.  Version 0.7.0 also resolves some other issues within SOFA and represents the first of the 0.7 series – the goal of which is to enable importing of spreadsheets and other, non-SQL database type data.

The Windows comtypes package relied upon by SOFA 0.6.8 proved to be faulty.  The 0.7.0 version of SOFA Statistics, which has just been released, uses an older version of comtypes (0.5.2) which is known to work.  A version of comtypes 0.6.0 for python 2.5 is apparently forthcoming.

There is still a delay when using SOFA’s table making functionality for the first time while comtypes generates some data it needs.  NB this is a one-off delay which doesn’t affect anything else.  Ideally, SOFA will handle this process better in a forthcoming release.