On Wed, Feb 29, 2012 at 5:51 PM, Arno Onken <asn...@asnelt.org> wrote: >> I added this lines at the end of boxplot.m >> % Distribute handles >> nq = 1:size(quartile_x,2); >> hs.box = h(nq); >> nw = nq(end) + [1:2*size(whisker_x,2)]; >> hs.whisker = h(nw); >> nm = nw(end)+ [1:size(median_x,2)]; >> hs.median = h(nm); >> no = nm(end) + [1:size(outliers_y,2)]; >> hs.outliers = h(no); >> no2 = no(end) + [1:size(outliers2_y,2)]; >> hs.outliers2 = h(no2); >> >> and the function now returns a second argument with the handles to the >> graphics elements. This allows configuration of the visualization. In >> particular I wanted to remove outliers (which I thought was possible >> by input arguments). >> >> Shall I add this to the repository? > > I see no harm in doing so. But maybe you should CC such a question to > the original author of the function. Maybe the author is not subscribed > to the list. > > Arno >
Hi Arno, There is no contact information for Alberto Terruzzi. I guess you as maintainer have the last word on this. Let me know. -- M. Sc. Juan Pablo Carbajal ----- PhD Student University of Zürich http://ailab.ifi.uzh.ch/carbajal/ ------------------------------------------------------------------------------ Virtualization & Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/ _______________________________________________ Octave-dev mailing list Octave-dev@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/octave-dev
