I think the attached function do what you expect Serge Steer Le 01/12/2014 17:15, David Chèze a écrit : > Hi all, > > I have timeseries with measurements at every timestep and I would like to > define bins of values for every variable and be able to count the number of > records that are in each bin: for 2 variables X and Y with 3 and 5 bins > respectively for example, the results is a matrix 3x5 where i,j element is > : the number of measurements that are in the ith bin of X and jth bin of Y. > I wonder if there is a direct function to address this "common" problem of > classification/sorting in scilab or toolbox like stixbox or nan_toolbox or ? > > Thanks for your advice, > > David > > > > -- > View this message in context: > http://mailinglists.scilab.org/frequency-analysis-of-N-variables-tp4031497.html > Sent from the Scilab users - Mailing Lists Archives mailing list archive at > Nabble.com. > _______________________________________________ > users mailing list > users@lists.scilab.org > http://lists.scilab.org/mailman/listinfo/users >
function occ=dsearch2D(xy,dx,dy,opt) //xy, coordinates of the points of the cloud //dx, discretization of the x axis //dy , discretization of the y axis //occ, table such as occ(i,j) contains the number of points in the //"pixel" [dx(i) dx(i+1)) x [dy(j) dy(j+1)) if argn(2)<4 then opt='c';end if and(opt<>["c","d"]) then error(msprintf(_("%: unknown char specifier (must be ''c'' or ''d'')\n"),"dsearch2D")) end if size(xy,2)<>2 then error("Wrong dimension for first argument") end [indx,occx]=dsearch(xy(:,1),dx,opt); occ=[]; dy=matrix(dy,1,-1); for k=1:length(dx)-1 i=find(indx==k); [indy,occy]=dsearch(xy(i,2),dy,opt); occ=[occ; occy]; end endfunction
_______________________________________________ users mailing list users@lists.scilab.org http://lists.scilab.org/mailman/listinfo/users