tulostaAdmixtureTiedot <- function(proportions, uskottavuus, alaRaja, niter) {
    # TODO: discover what this function does. Plotting? Get examples?
    # h0 <- findobj('Tag','filename1_text')
    # inputf = get(h0,'String');
    # h0 = findobj('Tag','filename2_text');
    # outf = get(h0,'String'); clear h0;

    # if length(outf)>0
    #     fid = fopen(outf,'a');
    # else
    #     fid = -1;
    #     diary('baps4_output.baps'); % save in text anyway.
    # end

    # ninds = length(uskottavuus);
    # npops = size(proportions,2);
    # disp(' ');
    # dispLine;
    # disp('RESULTS OF ADMIXTURE ANALYSIS BASED');
    # disp('ON MIXTURE CLUSTERING OF INDIVIDUALS');
    # disp(['Data file: ' inputf]);
    # disp(['Number of individuals: ' num2str(ninds)]);
    # disp(['Results based on ' num2str(niter) ' simulations from posterior allele frequencies.']);
    # disp(' ');
    # if fid ~= -1
    #     fprintf(fid, '\n');
    #     fprintf(fid,'%s \n', ['--------------------------------------------']); fprintf(fid, '\n');
    #     fprintf(fid,'%s \n', ['RESULTS OF ADMIXTURE ANALYSIS BASED']); fprintf(fid, '\n');
    #     fprintf(fid,'%s \n', ['ON MIXTURE CLUSTERING OF INDIVIDUALS']); fprintf(fid, '\n');
    #     fprintf(fid,'%s \n', ['Data file: ' inputf]); fprintf(fid, '\n');
    #     fprintf(fid,'%s \n', ['Number of individuals: ' num2str(ninds)]); fprintf(fid, '\n');
    #     fprintf(fid,'%s \n', ['Results based on ' num2str(niter) ' simulations from posterior allele frequencies.']); fprintf(fid, '\n');
    #     fprintf(fid, '\n');
    # end

    # ekaRivi = blanks(6);
    # for pop = 1:npops
    #     ekaRivi = [ekaRivi blanks(3-floor(log10(pop))) num2str(pop) blanks(2)];
    # end
    # ekaRivi = [ekaRivi blanks(1) 'p']; % Added on 29.08.06
    # disp(ekaRivi);
    # for ind = 1:ninds
    #     rivi = [num2str(ind) ':' blanks(4-floor(log10(ind)))];
    #     if any(proportions(ind,:)>0)
    #         for pop = 1:npops-1
    #             rivi = [rivi proportion2str(proportions(ind,pop)) blanks(2)];
    #         end
    #         rivi = [rivi proportion2str(proportions(ind,npops)) ':  '];
    #         rivi = [rivi ownNum2Str(uskottavuus(ind))];
    #     end
    #     disp(rivi);
    #     if fid ~= -1
    #         fprintf(fid,'%s \n',[rivi]); fprintf(fid,'\n');
    #     end
    # end
    # if fid ~= -1
    #     fclose(fid);
    # else
    #     diary off
}