stefan kluth wrote: > > Hello, > > I have an application in which I need to get statistics information like > mean and rms from the individual dimensions of a 2-D histogram. The > accessors GetMean() and GetRMS() give me these numbers for the > x-dimension, but for y (or z) I couldn't find a way on how to do this. > > For the moment I compute mean and rms from the bin-contents, but I would > prefer to have these computed at filling time, because computing from > bin-contents is only an approximation. > > So, I would like to propose that the functions GetMean() and GetRMS() are > extended to take an argument to specify the dimension for which the > quantities should be computed: > > stat_t GetMean( dim= 1 ) > stat_t GetRMS( dim= 1 ) > > In addition, a new accessor function which returns the covariance between > two dimensions would be very useful: > > stat_t GetCov( dim1= 1, dim2= 2 ) > > Their implementation should be trivial, fully backwards compatible and > very efficient, since we already have the weighted sums fTsumwx, fTsumwy, > fTsumwx2, fTsumwy2 and fTsumwxy as data members of TH1 and TH2. > > How about it? > Hi Stefan, I agree with your proposal and will try to implement the changes for the coming release. Rene Brun
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