+}
+/**************************************************************************************************/
+int UnifracUnweightedCommand::getAverageSTDMatrices(vector< vector<double> >& dists, int treeNum) {
+ try {
+ //we need to find the average distance and standard deviation for each groups distance
+
+ //finds sum
+ vector<double> averages; averages.resize(numComp, 0);
+ for (int thisIter = 0; thisIter < subsampleIters; thisIter++) {
+ for (int i = 0; i < dists[thisIter].size(); i++) {
+ averages[i] += dists[thisIter][i];
+ }
+ }
+
+ //finds average.
+ for (int i = 0; i < averages.size(); i++) { averages[i] /= (float) subsampleIters; }
+
+ //find standard deviation
+ vector<double> stdDev; stdDev.resize(numComp, 0);
+
+ for (int thisIter = 0; thisIter < subsampleIters; thisIter++) { //compute the difference of each dist from the mean, and square the result of each
+ for (int j = 0; j < dists[thisIter].size(); j++) {
+ stdDev[j] += ((dists[thisIter][j] - averages[j]) * (dists[thisIter][j] - averages[j]));
+ }
+ }
+ for (int i = 0; i < stdDev.size(); i++) {
+ stdDev[i] /= (float) subsampleIters;
+ stdDev[i] = sqrt(stdDev[i]);
+ }
+
+ //make matrix with scores in it
+ vector< vector<double> > avedists; avedists.resize(m->getNumGroups());
+ for (int i = 0; i < m->getNumGroups(); i++) {
+ avedists[i].resize(m->getNumGroups(), 0.0);
+ }
+
+ //make matrix with scores in it
+ vector< vector<double> > stddists; stddists.resize(m->getNumGroups());
+ for (int i = 0; i < m->getNumGroups(); i++) {
+ stddists[i].resize(m->getNumGroups(), 0.0);
+ }
+
+ //flip it so you can print it
+ int count = 0;
+ for (int r=0; r<m->getNumGroups(); r++) {
+ for (int l = 0; l < r; l++) {
+ avedists[r][l] = averages[count];
+ avedists[l][r] = averages[count];
+ stddists[r][l] = stdDev[count];
+ stddists[l][r] = stdDev[count];
+ count++;
+ }
+ }
+
+ string aveFileName = outputDir + m->getSimpleName(treefile) + toString(treeNum+1) + ".unweighted.ave." + getOutputFileNameTag("phylip");
+ if (outputForm != "column") { outputNames.push_back(aveFileName); outputTypes["phylip"].push_back(aveFileName); }
+ else { outputNames.push_back(aveFileName); outputTypes["column"].push_back(aveFileName); }
+ ofstream out;
+ m->openOutputFile(aveFileName, out);
+
+ string stdFileName = outputDir + m->getSimpleName(treefile) + toString(treeNum+1) + ".unweighted.std." + getOutputFileNameTag("phylip");
+ if (outputForm != "column") { outputNames.push_back(stdFileName); outputTypes["phylip"].push_back(stdFileName); }
+ else { outputNames.push_back(stdFileName); outputTypes["column"].push_back(stdFileName); }
+ ofstream outStd;
+ m->openOutputFile(stdFileName, outStd);
+
+ if ((outputForm == "lt") || (outputForm == "square")) {
+ //output numSeqs
+ out << m->getNumGroups() << endl;
+ outStd << m->getNumGroups() << endl;
+ }
+
+ //output to file
+ for (int r=0; r<m->getNumGroups(); r++) {
+ //output name
+ string name = (m->getGroups())[r];
+ if (name.length() < 10) { //pad with spaces to make compatible
+ while (name.length() < 10) { name += " "; }
+ }
+
+ if (outputForm == "lt") {
+ out << name << '\t';
+ outStd << name << '\t';
+
+ //output distances
+ for (int l = 0; l < r; l++) { out << avedists[r][l] << '\t'; outStd << stddists[r][l] << '\t';}
+ out << endl; outStd << endl;
+ }else if (outputForm == "square") {
+ out << name << '\t';
+ outStd << name << '\t';
+
+ //output distances
+ for (int l = 0; l < m->getNumGroups(); l++) { out << avedists[r][l] << '\t'; outStd << stddists[r][l] << '\t'; }
+ out << endl; outStd << endl;
+ }else{
+ //output distances
+ for (int l = 0; l < r; l++) {
+ string otherName = (m->getGroups())[l];
+ if (otherName.length() < 10) { //pad with spaces to make compatible
+ while (otherName.length() < 10) { otherName += " "; }
+ }
+
+ out << name << '\t' << otherName << avedists[r][l] << endl;
+ outStd << name << '\t' << otherName << stddists[r][l] << endl;
+ }
+ }
+ }
+ out.close();
+ outStd.close();
+
+ return 0;
+ }
+ catch(exception& e) {
+ m->errorOut(e, "UnifracUnweightedCommand", "getAverageSTDMatrices");