]> git.donarmstrong.com Git - mothur.git/blobdiff - pcoacommand.cpp
fixed bug with dist.shared subsampling. added mode parameter to dist.shared so...
[mothur.git] / pcoacommand.cpp
index 5d917372e5f88a5a45b762efc57ab388d80a4ebc..02e165e978dc071ba19808139060866d7e41388c 100644 (file)
@@ -111,7 +111,7 @@ PCOACommand::PCOACommand(string option)  {
                                phylipfile = m->getPhylipFile(); 
                                if (phylipfile != "") { m->mothurOut("Using " + phylipfile + " as input file for the phylip parameter."); m->mothurOutEndLine(); }
                                else {  m->mothurOut("You have no current phylip file and the phylip parameter is required."); m->mothurOutEndLine(); abort = true; }
-                       }       
+                       }else { m->setPhylipFile(phylipfile); } 
                        
                        filename = phylipfile;  
                        
@@ -172,7 +172,7 @@ int PCOACommand::execute(){
                
                output(fbase, names, G, d);
                
-               if (m->control_pressed) { for (int i = 0; i < outputNames.size(); i++) {        remove(outputNames[i].c_str());  } return 0; }
+               if (m->control_pressed) { for (int i = 0; i < outputNames.size(); i++) {        m->mothurRemove(outputNames[i]);  } return 0; }
                
                if (metric) {   
                        
@@ -180,13 +180,13 @@ int PCOACommand::execute(){
                                                        
                                vector< vector<double> > EuclidDists = linearCalc.calculateEuclidianDistance(G, i); //G is the pcoa file
                                
-                               if (m->control_pressed) { for (int i = 0; i < outputNames.size(); i++) {        remove(outputNames[i].c_str());  } return 0; }
+                               if (m->control_pressed) { for (int i = 0; i < outputNames.size(); i++) {        m->mothurRemove(outputNames[i]);  } return 0; }
                                
                                double corr = linearCalc.calcPearson(EuclidDists, D); //G is the pcoa file, D is the users distance matrix
                                
                                m->mothurOut("Rsq " + toString(i) + " axis: " + toString(corr * corr)); m->mothurOutEndLine();
                                
-                               if (m->control_pressed) { for (int i = 0; i < outputNames.size(); i++) {        remove(outputNames[i].c_str());  } return 0; }
+                               if (m->control_pressed) { for (int i = 0; i < outputNames.size(); i++) {        m->mothurRemove(outputNames[i]);  } return 0; }
                        }
                }