On Jan 19, 2012, at 12:21 PM, Carnë Draug wrote: > On 19 January 2012 17:07, Arno Onken <asn...@asnelt.org> wrote: > >> On 01/19/2012 05:38 PM, Carnė Draug wrote: >>> >>> I have just removed the strtrim funtion from the string package. >>> >>> I want to do the same for the zscore function from the statistics >>> package. Is there any reason not to so? >> >> Removing the zscore function from the statistics package might break legacy >> code. Compared to the Octave core zscore function, the zscore in the >> statistics package also returns the mean and standard deviation. >> >> The best way to deal with this would probably be to change the Octave core >> function to also return mean and standard deviation and then to remove the >> zscore function from the statistics package. However, the core zscore >> function uses the center function instead of calculating the >> mean directly. So changing the core zscore function would complicate it >> considerably. I am not sure if this is desirable and what's the best >> solution. > > It seems to me that matlab zscore also returns the mean and standard > deviation so that's something that should be added to the core > function. Could zscore in core be changed to do it in in one or the > other way depending on the value of nargout? (I'mm CC'ing the > mantainers mailing list) > > Carnë
I hadn't realized there was a zscore function. The polyfit() function should probably call that instead of doing the normalization itself. I don't have a copy of the ML statistics toolbox. I notice that Octave's implementation returns a result whos class matches that of the input. Does ML's behave that way as well ? (the on-line docs don't mention it). Ben ------------------------------------------------------------------------------ Keep Your Developer Skills Current with LearnDevNow! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-d2d _______________________________________________ Octave-dev mailing list Octave-dev@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/octave-dev
