]> git.donarmstrong.com Git - mothur.git/blobdiff - unifracweightedcommand.cpp
you can now use a distance matrix as input for the heatmap.sim command.
[mothur.git] / unifracweightedcommand.cpp
index 7cb8f058e8a36cea95dcefd32196b3acab024b5e..f9cdd5a86458c6f3039e4392e6e8b27f7d5eaa08 100644 (file)
 #include "unifracweightedcommand.h"
 
 /***********************************************************/
-UnifracWeightedCommand::UnifracWeightedCommand() {
+UnifracWeightedCommand::UnifracWeightedCommand(string option) {
        try {
                globaldata = GlobalData::getInstance();
+               abort = false;
+               Groups.clear();
                
-               T = globaldata->gTree;
-               tmap = globaldata->gTreemap;
-               sumFile = globaldata->getTreeFile() + ".wsummary";
-               openOutputFile(sumFile, outSum);
+               //allow user to run help
+               if(option == "help") { help(); abort = true; }
+               
+               else {
+                       //valid paramters for this command
+                       string Array[] =  {"groups","iters","distance","random"};
+                       vector<string> myArray (Array, Array+(sizeof(Array)/sizeof(string)));
+                       
+                       OptionParser parser(option);
+                       map<string,string> parameters=parser.getParameters();
+                       
+                       ValidParameters validParameter;
+               
+                       //check to make sure all parameters are valid for command
+                       for (map<string,string>::iterator it = parameters.begin(); it != parameters.end(); it++) { 
+                               if (validParameter.isValidParameter(it->first, myArray, it->second) != true) {  abort = true;  }
+                       }
+                       
+                       if (globaldata->gTree.size() == 0) {//no trees were read
+                               mothurOut("You must execute the read.tree command, before you may execute the unifrac.weighted command."); mothurOutEndLine(); abort = true;  }
+                                                                               
+                       //check for optional parameter and set defaults
+                       // ...at some point should added some additional type checking...
+                       groups = validParameter.validFile(parameters, "groups", false);                 
+                       if (groups == "not found") { groups = ""; }
+                       else { 
+                               splitAtDash(groups, Groups);
+                               globaldata->Groups = Groups;
+                       }
                                
-               setGroups();    //sets the groups the user wants to analyze                     
-               convert(globaldata->getIters(), iters);  //how many random trees to generate
-               weighted = new Weighted(tmap);
+                       itersString = validParameter.validFile(parameters, "iters", false);                     if (itersString == "not found") { itersString = "1000"; }
+                       convert(itersString, iters); 
+                       
+                       string temp = validParameter.validFile(parameters, "distance", false);                  if (temp == "not found") { temp = "false"; }
+                       phylip = isTrue(temp);
+               
+                       temp = validParameter.validFile(parameters, "random", false);                                   if (temp == "not found") { temp = "true"; }
+                       random = isTrue(temp);
+                       
+                       if (!random) {  iters = 0;  } //turn off random calcs
 
+                       
+                       if (abort == false) {
+                               T = globaldata->gTree;
+                               tmap = globaldata->gTreemap;
+                               sumFile = globaldata->getTreeFile() + ".wsummary";
+                               openOutputFile(sumFile, outSum);
+                               
+                               util = new SharedUtil();
+                               string s; //to make work with setgroups
+                               util->setGroups(globaldata->Groups, tmap->namesOfGroups, s, numGroups, "weighted");     //sets the groups the user wants to analyze
+                               util->getCombos(groupComb, globaldata->Groups, numComp);
+                               
+                               weighted = new Weighted(tmap);
+                               
+                       }
+               }
+               
+               
        }
        catch(exception& e) {
-               cout << "Standard Error: " << e.what() << " has occurred in the UnifracWeightedCommand class Function UnifracWeightedCommand. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
+               errorOut(e, "UnifracWeightedCommand", "UnifracWeightedCommand");
                exit(1);
        }
-       catch(...) {
-               cout << "An unknown error has occurred in the UnifracWeightedCommand class function UnifracWeightedCommand. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
+}
+//**********************************************************************************************************************
+
+void UnifracWeightedCommand::help(){
+       try {
+               mothurOut("The unifrac.weighted command can only be executed after a successful read.tree command.\n");
+               mothurOut("The unifrac.weighted command parameters are groups, iters, distance and random.  No parameters are required.\n");
+               mothurOut("The groups parameter allows you to specify which of the groups in your groupfile you would like analyzed.  You must enter at least 2 valid groups.\n");
+               mothurOut("The group names are separated by dashes.  The iters parameter allows you to specify how many random trees you would like compared to your tree.\n");
+               mothurOut("The distance parameter allows you to create a distance file from the results. The default is false.\n");
+               mothurOut("The random parameter allows you to shut off the comparison to random trees. The default is true, meaning compare your trees with randomly generated trees.\n");
+               mothurOut("The unifrac.weighted command should be in the following format: unifrac.weighted(groups=yourGroups, iters=yourIters).\n");
+               mothurOut("Example unifrac.weighted(groups=A-B-C, iters=500).\n");
+               mothurOut("The default value for groups is all the groups in your groupfile, and iters is 1000.\n");
+               mothurOut("The unifrac.weighted command output two files: .weighted and .wsummary their descriptions are in the manual.\n");
+               mothurOut("Note: No spaces between parameter labels (i.e. groups), '=' and parameters (i.e.yourGroups).\n\n");
+       }
+       catch(exception& e) {
+               errorOut(e, "UnifracWeightedCommand", "help");
                exit(1);
        }
 }
+
 /***********************************************************/
 int UnifracWeightedCommand::execute() {
        try {
+       
+               if (abort == true) { return 0; }
+               
+               Progress* reading;
+               if (random) {   reading = new Progress("Comparing to random:", iters);  }
                
                //get weighted for users tree
                userData.resize(numComp,0);  //data[0] = weightedscore AB, data[1] = weightedscore AC...
@@ -49,8 +124,8 @@ int UnifracWeightedCommand::execute() {
                        counter = 0;
                        rScores.resize(numComp);  //data[0] = weightedscore AB, data[1] = weightedscore AC...
                        uScores.resize(numComp);  //data[0] = weightedscore AB, data[1] = weightedscore AC...
-                       weightedFile = globaldata->getTreeFile()  + toString(i+1) + ".weighted";
-                       weightedFileout = globaldata->getTreeFile() + "temp." + toString(i+1) + ".weighted";
+                       
+                       if (random) {  output = new ColumnFile(globaldata->getTreeFile()  + toString(i+1) + ".weighted", itersString);  } 
 
                        userData = weighted->getValues(T[i]);  //userData[0] = weightedscore
                        
@@ -81,36 +156,49 @@ int UnifracWeightedCommand::execute() {
                                                count++;
                                        }
                                }
+                               
+                               //update progress bar
+                               reading->update(j);
+
                        }
 
                        //removeValidScoresDuplicates(); 
                        //find the signifigance of the score for summary file
-                       for (int f = 0; f < numComp; f++) {
-                               //sort random scores
-                               sort(rScores[f].begin(), rScores[f].end());
+                       if (random) {
+                               for (int f = 0; f < numComp; f++) {
+                                       //sort random scores
+                                       sort(rScores[f].begin(), rScores[f].end());
+                                       
+                                       //the index of the score higher than yours is returned 
+                                       //so if you have 1000 random trees the index returned is 100 
+                                       //then there are 900 trees with a score greater then you. 
+                                       //giving you a signifigance of 0.900
+                                       int index = findIndex(userData[f], f);    if (index == -1) { mothurOut("error in UnifracWeightedCommand"); mothurOutEndLine(); exit(1); } //error code
+                                       
+                                       //the signifigance is the number of trees with the users score or higher 
+                                       WScoreSig.push_back((iters-index)/(float)iters);
+                               }
                                
-                               //the index of the score higher than yours is returned 
-                               //so if you have 1000 random trees the index returned is 100 
-                               //then there are 900 trees with a score greater then you. 
-                               //giving you a signifigance of 0.900
-                               int index = findIndex(userData[f], f);    if (index == -1) { cout << "error in UnifracWeightedCommand" << endl; exit(1); } //error code
-                       
-                               //the signifigance is the number of trees with the users score or higher 
-                               WScoreSig.push_back((iters-index)/(float)iters);
+                               //out << "Tree# " << i << endl;
+                               calculateFreqsCumuls();
+                               printWeightedFile();
+                               
+                               delete output;
                        }
                        
-                       //out << "Tree# " << i << endl;
-                       calculateFreqsCumuls();
-                       printWeightedFile();
-                       
                        //clear data
                        rScores.clear();
                        uScores.clear();
                        validScores.clear();
                }
                
+               //finish progress bar
+               if (random) {   reading->finish();      delete reading;         }
+               
                printWSummaryFile();
                
+               if (phylip) {   createPhylipFile();             }
+
                //clear out users groups
                globaldata->Groups.clear();
                
@@ -120,11 +208,7 @@ int UnifracWeightedCommand::execute() {
                
        }
        catch(exception& e) {
-               cout << "Standard Error: " << e.what() << " has occurred in the UnifracWeightedCommand class Function execute. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
-               exit(1);
-       }
-       catch(...) {
-               cout << "An unknown error has occurred in the UnifracWeightedCommand class function execute. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
+               errorOut(e, "UnifracWeightedCommand", "execute");
                exit(1);
        }
 }
@@ -132,29 +216,22 @@ int UnifracWeightedCommand::execute() {
 void UnifracWeightedCommand::printWeightedFile() {
        try {
                vector<double> data;
+               vector<string> tags;
+               tags.push_back("Score"); tags.push_back("RandFreq"); tags.push_back("RandCumul");
                
                for(int a = 0; a < numComp; a++) {
-                       initFile(groupComb[a]);
+                       output->initFile(groupComb[a], tags);
                        //print each line
-                       for (it = validScores.begin(); it != validScores.end(); it++) { 
+                       for (map<float,float>::iterator it = validScores.begin(); it != validScores.end(); it++) { 
                                data.push_back(it->first);  data.push_back(rScoreFreq[a][it->first]); data.push_back(rCumul[a][it->first]); 
-                               output(data);
+                               output->output(data);
                                data.clear();
                        } 
-                       resetFile();
+                       output->resetFile();
                }
-               
-               out.close();
-               inFile.close();
-               remove(weightedFileout.c_str());
-               
        }
        catch(exception& e) {
-               cout << "Standard Error: " << e.what() << " has occurred in the UnifracWeightedCommand class Function printWeightedFile. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
-               exit(1);
-       }
-       catch(...) {
-               cout << "An unknown error has occurred in the UnifracWeightedCommand class function printWeightedFile. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
+               errorOut(e, "UnifracWeightedCommand", "printWeightedFile");
                exit(1);
        }
 }
@@ -165,7 +242,7 @@ void UnifracWeightedCommand::printWSummaryFile() {
        try {
                //column headers
                outSum << "Tree#" << '\t' << "Groups" << '\t' << "WScore" << '\t' << "WSig" <<  endl;
-               cout << "Tree#" << '\t' << "Groups" << '\t' << "WScore" << '\t' << "WSig" <<  endl;
+               mothurOut("Tree#\tGroups\tWScore\tWSig"); mothurOutEndLine(); 
                
                //format output
                outSum.setf(ios::fixed, ios::floatfield); outSum.setf(ios::showpoint);
@@ -174,12 +251,20 @@ void UnifracWeightedCommand::printWSummaryFile() {
                int count = 0;
                for (int i = 0; i < T.size(); i++) { 
                        for (int j = 0; j < numComp; j++) {
-                               if (WScoreSig[count] > (1/(float)iters)) {
-                                       outSum << setprecision(6) << i+1 << '\t' << groupComb[j] << '\t' << utreeScores[count] << '\t' << setprecision(globaldata->getIters().length()) << WScoreSig[count] << endl; 
-                                       cout << setprecision(6) << i+1 << '\t' << groupComb[j] << '\t' << utreeScores[count] << '\t' << setprecision(globaldata->getIters().length()) << WScoreSig[count] << endl; 
+                               if (random) {
+                                       if (WScoreSig[count] > (1/(float)iters)) {
+                                               outSum << setprecision(6) << i+1 << '\t' << groupComb[j] << '\t' << utreeScores[count] << '\t' << setprecision(itersString.length()) << WScoreSig[count] << endl; 
+                                               cout << setprecision(6) << i+1 << '\t' << groupComb[j] << '\t' << utreeScores[count] << '\t' << setprecision(itersString.length()) << WScoreSig[count] << endl; 
+                                               mothurOutJustToLog(toString(i+1) +"\t" + groupComb[j] +"\t" + toString(utreeScores[count]) +"\t" +  toString(WScoreSig[count])); mothurOutEndLine();  
+                                       }else{
+                                               outSum << setprecision(6) << i+1 << '\t' << groupComb[j] << '\t' << utreeScores[count] << '\t' << setprecision(itersString.length()) << "<" << (1/float(iters)) << endl; 
+                                               cout << setprecision(6) << i+1 << '\t' << groupComb[j] << '\t' << utreeScores[count] << '\t' << setprecision(itersString.length()) << "<" << (1/float(iters)) << endl; 
+                                               mothurOutJustToLog(toString(i+1) +"\t" + groupComb[j] +"\t" + toString(utreeScores[count]) +"\t<" +  toString((1/float(iters)))); mothurOutEndLine();  
+                                       }
                                }else{
-                                       outSum << setprecision(6) << i+1 << '\t' << groupComb[j] << '\t' << utreeScores[count] << '\t' << setprecision(globaldata->getIters().length()) << "<" << (1/float(iters)) << endl; 
-                                       cout << setprecision(6) << i+1 << '\t' << groupComb[j] << '\t' << utreeScores[count] << '\t' << setprecision(globaldata->getIters().length()) << "<" << (1/float(iters)) << endl; 
+                                       outSum << setprecision(6) << i+1 << '\t' << groupComb[j] << '\t' << utreeScores[count] << '\t' << "0.00" << endl; 
+                                       cout << setprecision(6) << i+1 << '\t' << groupComb[j] << '\t' << utreeScores[count] << '\t' << "0.00" << endl; 
+                                       mothurOutJustToLog(toString(i+1) +"\t" + groupComb[j] +"\t" + toString(utreeScores[count]) +"\t0.00"); mothurOutEndLine(); 
                                }
                                count++;
                        }
@@ -187,94 +272,66 @@ void UnifracWeightedCommand::printWSummaryFile() {
                outSum.close();
        }
        catch(exception& e) {
-               cout << "Standard Error: " << e.what() << " has occurred in the UnifracWeightedCommand class Function printWeightedFile. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
-               exit(1);
-       }
-       catch(...) {
-               cout << "An unknown error has occurred in the UnifracWeightedCommand class function printWeightedFile. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
+               errorOut(e, "UnifracWeightedCommand", "printWSummaryFile");
                exit(1);
        }
 }
-
 /***********************************************************/
-int UnifracWeightedCommand::findIndex(float score, int index) {
-       try{
-               for (int i = 0; i < rScores[index].size(); i++) {
-                       if (rScores[index][i] >= score) {       return i;       }
-               }
-               return rScores[index].size();
-       }
-       catch(exception& e) {
-               cout << "Standard Error: " << e.what() << " has occurred in the UnifracWeightedCommand class Function findIndex. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
-               exit(1);
-       }
-       catch(...) {
-               cout << "An unknown error has occurred in the UnifracWeightedCommand class function findIndex. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
-               exit(1);
-       }
-}
-
-/***********************************************************/
-void UnifracWeightedCommand::setGroups() {
+void UnifracWeightedCommand::createPhylipFile() {
        try {
-               //if the user has not entered specific groups to analyze then do them all
-               if (globaldata->Groups.size() == 0) {
-                       numGroups = tmap->getNumGroups();
-                       for (int i=0; i < numGroups; i++) { 
-                               globaldata->Groups.push_back(tmap->namesOfGroups[i]);
+               int count = 0;
+               //for each tree
+               for (int i = 0; i < T.size(); i++) { 
+               
+                       string phylipFileName = globaldata->getTreeFile()  + toString(i+1) + ".weighted.dist";
+                       ofstream out;
+                       openOutputFile(phylipFileName, out);
+                       
+                       //output numSeqs
+                       out << globaldata->Groups.size() << endl;
+                       
+                       //make matrix with scores in it
+                       vector< vector<float> > dists;  dists.resize(globaldata->Groups.size());
+                       for (int i = 0; i < globaldata->Groups.size(); i++) {
+                               dists[i].resize(globaldata->Groups.size(), 0.0);
                        }
-               }else {
-                       if (globaldata->getGroups() != "all") {
-                               //check that groups are valid
-                               for (int i = 0; i < globaldata->Groups.size(); i++) {
-                                       if (tmap->isValidGroup(globaldata->Groups[i]) != true) {
-                                               cout << globaldata->Groups[i] << " is not a valid group, and will be disregarded." << endl;
-                                               // erase the invalid group from globaldata->Groups
-                                               globaldata->Groups.erase (globaldata->Groups.begin()+i);
-                                       }
-                               }
                        
-                               //if the user only entered invalid groups
-                               if (globaldata->Groups.size() == 0) { 
-                                       numGroups = tmap->getNumGroups();
-                                       for (int i=0; i < numGroups; i++) { 
-                                               globaldata->Groups.push_back(tmap->namesOfGroups[i]);
-                                       }
-                                       cout << "When using the groups parameter you must have at least 2 valid groups. I will run the command using all the groups in your groupfile." << endl; 
-                               }else if (globaldata->Groups.size() == 1) { 
-                                       cout << "When using the groups parameter you must have at least 2 valid groups. I will run the command using all the groups in your groupfile." << endl;
-                                       numGroups = tmap->getNumGroups();
-                                       globaldata->Groups.clear();
-                                       for (int i=0; i < numGroups; i++) { 
-                                               globaldata->Groups.push_back(tmap->namesOfGroups[i]);
-                                       }
-                               }else { numGroups = globaldata->Groups.size(); }
-                       }else { //users wants all groups
-                               numGroups = tmap->getNumGroups();
-                               globaldata->Groups.clear();
-                               globaldata->setGroups("");
-                               for (int i=0; i < numGroups; i++) { 
-                                       globaldata->Groups.push_back(tmap->namesOfGroups[i]);
+                       //flip it so you can print it
+                       for (int r=0; r<globaldata->Groups.size(); r++) { 
+                               for (int l = r+1; l < globaldata->Groups.size(); l++) {
+                                       dists[r][l] = (1.0 - utreeScores[count]);
+                                       dists[l][r] = (1.0 - utreeScores[count]);
+                                       count++;
                                }
                        }
-               }
-               
-               //calculate number of comparisons i.e. with groups A,B,C = AB, AC, BC = 3;
-               numComp = 0;
-               for (int i=0; i<numGroups; i++) { 
-                       numComp += i; 
-                       for (int l = i+1; l < numGroups; l++) {
-                               //set group comparison labels
-                               groupComb.push_back(globaldata->Groups[i] + "-" + globaldata->Groups[l]);
+
+                       //output to file
+                       for (int r=0; r<globaldata->Groups.size(); r++) { 
+                               //output name
+                               out << globaldata->Groups[r] << '\t';
+                               
+                               //output distances
+                               for (int l = 0; l < r; l++) {   out  << dists[r][l] << '\t';  }
+                               out << endl;
                        }
+                       out.close();
                }
        }
        catch(exception& e) {
-               cout << "Standard Error: " << e.what() << " has occurred in the UnifracWeightedCommand class Function setGroups. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
+               errorOut(e, "UnifracWeightedCommand", "createPhylipFile");
                exit(1);
        }
-       catch(...) {
-               cout << "An unknown error has occurred in the UnifracWeightedCommand class function setGroups. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
+}
+/***********************************************************/
+int UnifracWeightedCommand::findIndex(float score, int index) {
+       try{
+               for (int i = 0; i < rScores[index].size(); i++) {
+                       if (rScores[index][i] >= score) {       return i;       }
+               }
+               return rScores[index].size();
+       }
+       catch(exception& e) {
+               errorOut(e, "UnifracWeightedCommand", "findIndex");
                exit(1);
        }
 }
@@ -294,7 +351,7 @@ void UnifracWeightedCommand::calculateFreqsCumuls() {
                for (int f = 0; f < numComp; f++) {
                        for (int i = 0; i < rScores[f].size(); i++) { //looks like 0,0,1,1,1,2,4,7...  you want to make a map that say rScoreFreq[0] = 2, rScoreFreq[1] = 3...
                                validScores[rScores[f][i]] = rScores[f][i];
-                               it = rScoreFreq[f].find(rScores[f][i]);
+                               map<float,float>::iterator it = rScoreFreq[f].find(rScores[f][i]);
                                if (it != rScoreFreq[f].end()) {
                                        rScoreFreq[f][rScores[f][i]]++;
                                }else{
@@ -307,9 +364,9 @@ void UnifracWeightedCommand::calculateFreqsCumuls() {
                for(int a = 0; a < numComp; a++) {
                        float rcumul = 1.0000;
                        //this loop fills the cumulative maps and put 0.0000 in the score freq map to make it easier to print.
-                       for (it = validScores.begin(); it != validScores.end(); it++) {
+                       for (map<float,float>::iterator it = validScores.begin(); it != validScores.end(); it++) {
                                //make rscoreFreq map and rCumul
-                               it2 = rScoreFreq[a].find(it->first);
+                               map<float,float>::iterator it2 = rScoreFreq[a].find(it->first);
                                rCumul[a][it->first] = rcumul;
                                //get percentage of random trees with that info
                                if (it2 != rScoreFreq[a].end()) {  rScoreFreq[a][it->first] /= iters; rcumul-= it2->second;  }
@@ -319,95 +376,14 @@ void UnifracWeightedCommand::calculateFreqsCumuls() {
 
        }
        catch(exception& e) {
-               cout << "Standard Error: " << e.what() << " has occurred in the UnifracWeightedCommand class Function calculateFreqsCums. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
-               exit(1);
-       }
-       catch(...) {
-               cout << "An unknown error has occurred in the UnifracWeightedCommand class function calculateFreqsCums. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
-               exit(1);
-       }
-
-}
-
-/*****************************************************************/
-
-void UnifracWeightedCommand::initFile(string label){
-       try {
-               if(counter != 0){
-                       openOutputFile(weightedFileout, out);
-                       openInputFile(weightedFile, inFile);
-
-                       string inputBuffer;
-                       getline(inFile, inputBuffer);
-               
-                       out     <<  inputBuffer << '\t' << label + "RandFreq" << '\t' << label + "RandCumul" << endl;           
-               }else{
-                       openOutputFile(weightedFileout, out);
-                       out     << label + "Score" << '\t' << label + "RandFreq" << '\t' << label + "RandCumul" << endl;
-               }
-
-               out.setf(ios::fixed, ios::floatfield);
-               out.setf(ios::showpoint);
-       }
-       catch(exception& e) {
-               cout << "Standard Error: " << e.what() << " has occurred in the UnifracWeightedCommand class Function initFile. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
-               exit(1);
-       }
-       catch(...) {
-               cout << "An unknown error has occurred in the UnifracWeightedCommand class function initFile. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
+               errorOut(e, "UnifracWeightedCommand", "calculateFreqsCums");
                exit(1);
        }
 }
 
-/***********************************************************************/
+/***********************************************************/
 
-void UnifracWeightedCommand::output(vector<double> data){
-       try {
-               if(counter != 0){               
-                       string inputBuffer;
-                       getline(inFile, inputBuffer);
 
-                       out << inputBuffer << '\t' << setprecision(6) << data[0] << setprecision(globaldata->getIters().length())  << '\t' << data[1] << '\t' << data[2] << endl;
-               }
-               else{
-                       out << setprecision(6) << data[0] << setprecision(globaldata->getIters().length())  << '\t' << data[1] << '\t' << data[2] << endl;
 
-               }
-               
-       }
-       catch(exception& e) {
-               cout << "Standard Error: " << e.what() << " has occurred in the UnifracWeightedCommand class Function output. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
-               exit(1);
-       }
-       catch(...) {
-               cout << "An unknown error has occurred in the UnifracWeightedCommand class function output. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
-               exit(1);
-       }
-};
 
-/***********************************************************************/
-
-void UnifracWeightedCommand::resetFile(){
-       try {
-               if(counter != 0){
-                       out.close();
-                       inFile.close();
-               }
-               else{
-                       out.close();
-               }
-               counter = 1;
-               
-               remove(weightedFile.c_str());
-               rename(weightedFileout.c_str(), weightedFile.c_str());
-       }
-       catch(exception& e) {
-               cout << "Standard Error: " << e.what() << " has occurred in the UnifracWeightedCommand class Function resetFile. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
-               exit(1);
-       }
-       catch(...) {
-               cout << "An unknown error has occurred in the UnifracWeightedCommand class function resetFile. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
-               exit(1);
-       }       
-}