randomData.resize(numComp,0); //data[0] = unweightedscore
//create new tree with same num nodes and leaves as users
+ if (numComp < processors) { processors = numComp; }
+
outSum << "Tree#" << '\t' << "Groups" << '\t' << "UWScore" <<'\t' << "UWSig" << endl;
m->mothurOut("Tree#\tGroups\tUWScore\tUWSig"); m->mothurOutEndLine();
out << name << '\t';
//output distances
- for (int l = 0; l < globaldata->Groups.size(); l++) { out << dists[r][l] << '\t'; }
+ for (int l = 0; l < globaldata->Groups.size(); l++) { out << setprecision(11) << dists[r][l] << '\t'; }
out << endl;
}else{
//output distances