]> git.donarmstrong.com Git - mothur.git/blobdiff - subsample.cpp
changing command name classify.shared to classifyrf.shared
[mothur.git] / subsample.cpp
index d5b4e3ecf19f2114855426350e1ecfbe57780736..392f97bd51f1d2ac67d6d0a810a408ab507fdcee 100644 (file)
 //
 
 #include "subsample.h"
+//**********************************************************************************************************************
+Tree* SubSample::getSample(Tree* T, CountTable* ct, CountTable* newCt, int size) {
+    try {
+        Tree* newTree = NULL;
+        
+        //remove seqs not in sample from counttable
+        vector<string> Groups = ct->getNamesOfGroups();
+        newCt->copy(ct); 
+        newCt->addGroup("doNotIncludeMe");
+        
+        map<string, int> doNotIncludeTotals; 
+        vector<string> namesSeqs = ct->getNamesOfSeqs();
+        for (int i = 0; i < namesSeqs.size(); i++) {  doNotIncludeTotals[namesSeqs[i]] = 0; }
+    
+        for (int i = 0; i < Groups.size(); i++) {
+            if (m->inUsersGroups(Groups[i], m->getGroups())) {
+                if (m->control_pressed) { break; }
+        
+                int thisSize = ct->getGroupCount(Groups[i]);
+                
+                if (thisSize >= size) {        
+                    
+                    vector<string> names = ct->getNamesOfSeqs(Groups[i]);
+                    vector<int> random;
+                    for (int j = 0; j < names.size(); j++) {
+                        int num = ct->getGroupCount(names[j], Groups[i]);
+                        for (int k = 0; k < num; k++) { random.push_back(j); }
+                    }
+                    random_shuffle(random.begin(), random.end());
+                    
+                    vector<int> sampleRandoms; sampleRandoms.resize(names.size(), 0);
+                    for (int j = 0; j < size; j++) { sampleRandoms[random[j]]++; }
+                    for (int j = 0; j < sampleRandoms.size(); j++) {
+                        newCt->setAbund(names[j], Groups[i], sampleRandoms[j]);
+                    }
+                    sampleRandoms.clear(); sampleRandoms.resize(names.size(), 0);
+                    for (int j = size; j < thisSize; j++) { sampleRandoms[random[j]]++; }
+                    for (int j = 0; j < sampleRandoms.size(); j++) {  doNotIncludeTotals[names[j]] += sampleRandoms[j]; }
+                }else {  m->mothurOut("[ERROR]: You have selected a size that is larger than "+Groups[i]+" number of sequences.\n"); m->control_pressed = true; }
+            }
 
+        }
+        
+        for (map<string, int>::iterator it = doNotIncludeTotals.begin(); it != doNotIncludeTotals.end(); it++) {  
+            newCt->setAbund(it->first, "doNotIncludeMe", it->second);
+        } 
+        
+        newTree = new Tree(newCt);
+        newTree->getCopy(T, true);
+        
+        return newTree;
+    }
+    catch(exception& e) {
+        m->errorOut(e, "SubSample", "getSample-Tree");
+        exit(1);
+    }
+}
 //**********************************************************************************************************************
-vector<SharedRAbundVector*> SubSample::getSamplePreserve(vector<SharedRAbundVector*>& thislookup, vector<string>& newLabels, int size) {
-       try {
-               
-        vector<SharedRAbundVector*> newlookup; newlookup.resize(thislookup.size(), NULL); 
+//assumes whole maps dupName -> uniqueName
+map<string, string> SubSample::deconvolute(map<string, string> whole, vector<string>& wanted) {
+    try {
+        map<string, string> nameMap;
         
-               //save mothurOut's binLabels to restore for next label
-               vector<string> saveBinLabels = m->currentBinLabels;
-               
-               int numBins = thislookup[0]->getNumBins();
-               for (int i = 0; i < thislookup.size(); i++) {           
-                       int thisSize = thislookup[i]->getNumSeqs();
-                       
-                       if (thisSize != size) {
-                               
-                               string thisgroup = thislookup[i]->getGroup();
-                               
-                               OrderVector order;
-                               for(int p=0;p<numBins;p++){
-                                       for(int j=0;j<thislookup[i]->getAbundance(p);j++){
-                                               order.push_back(p);
-                                       }
-                               }
-                               random_shuffle(order.begin(), order.end());
-                               
-                               SharedRAbundVector* temp = new SharedRAbundVector(numBins);
-                               temp->setLabel(thislookup[i]->getLabel());
-                               temp->setGroup(thislookup[i]->getGroup());
-                               
-                               newlookup[i] = temp;
-                               
-                               for (int j = 0; j < size; j++) {
-                                       
-                                       if (m->control_pressed) {  return newlookup; }
-                                       
-                                       int bin = order.get(j);
-                                       
-                                       int abund = newlookup[i]->getAbundance(bin);
-                                       newlookup[i]->set(bin, (abund+1), thisgroup);
-                               }       
-                       }
-               }
-               
-               //subsampling may have created some otus with no sequences in them
-               eliminateZeroOTUS(newlookup);
-               
-               if (m->control_pressed) { return newlookup; }
-               
-               //save mothurOut's binLabels to restore for next label
-        newLabels = m->currentBinLabels;
-               m->currentBinLabels = saveBinLabels;
-               
-               return newlookup;
-               
-       }
+        //whole will be empty if user gave no name file, so we don't need to make a new one
+        if (whole.size() == 0) { return nameMap; }
+        
+        vector<string> newWanted;
+        for (int i = 0; i < wanted.size(); i++) {
+            
+            if (m->control_pressed) { break; }
+            
+            string dupName = wanted[i];
+            
+            map<string, string>::iterator itWhole = whole.find(dupName);
+            if (itWhole != whole.end()) {
+                string repName = itWhole->second;
+                
+                //do we already have this rep?
+                map<string, string>::iterator itName = nameMap.find(repName);
+                if (itName != nameMap.end()) { //add this seqs to dups list
+                    (itName->second) += "," + dupName;
+                }else { //first sighting of this seq
+                    nameMap[repName] = dupName;
+                    newWanted.push_back(repName);
+                }
+            }else { m->mothurOut("[ERROR]: "+dupName+" is not in your name file, please correct.\n"); m->control_pressed = true; }
+        }
+        
+        wanted = newWanted;
+        return nameMap;
+    }
        catch(exception& e) {
-               m->errorOut(e, "SubSample", "getSamplePreserve");
+               m->errorOut(e, "SubSample", "deconvolute");
                exit(1);
        }
-}      
+}
 //**********************************************************************************************************************
 vector<string> SubSample::getSample(vector<SharedRAbundVector*>& thislookup, int size) {
        try {
@@ -113,7 +148,7 @@ vector<string> SubSample::getSample(vector<SharedRAbundVector*>& thislookup, int
                
                //subsampling may have created some otus with no sequences in them
                eliminateZeroOTUS(thislookup);
-               
+        
                if (m->control_pressed) { return m->currentBinLabels; }
                
                //save mothurOut's binLabels to restore for next label
@@ -124,7 +159,7 @@ vector<string> SubSample::getSample(vector<SharedRAbundVector*>& thislookup, int
                
        }
        catch(exception& e) {
-               m->errorOut(e, "SubSample", "getSample");
+               m->errorOut(e, "SubSample", "getSample-shared");
                exit(1);
        }
 }      
@@ -185,8 +220,208 @@ int SubSample::eliminateZeroOTUS(vector<SharedRAbundVector*>& thislookup) {
                exit(1);
        }
 }
+//**********************************************************************************************************************
+int SubSample::getSample(SAbundVector*& sabund, int size) {
+       try {
+               
+        OrderVector* order = new OrderVector();
+        *order = sabund->getOrderVector(NULL);
+        
+               int numBins = order->getNumBins();
+               int thisSize = order->getNumSeqs();
+        
+               if (thisSize > size) {
+                       random_shuffle(order->begin(), order->end());
+                       
+            RAbundVector* rabund = new RAbundVector(numBins);
+                       rabund->setLabel(order->getLabel());
 
-
+                       for (int j = 0; j < size; j++) {
+                
+                               if (m->control_pressed) { delete order; delete rabund; return 0; }
+                               
+                               int bin = order->get(j);
+                               
+                               int abund = rabund->get(bin);
+                               rabund->set(bin, (abund+1));
+                       }
+                       
+            delete sabund;
+            sabund = new SAbundVector();
+            *sabund = rabund->getSAbundVector();
+            delete rabund;
+            
+               }else if (thisSize < size) { m->mothurOut("[ERROR]: The size you requested is larger than the number of sequences in the sabund vector. You requested " + toString(size) + " and you only have " + toString(thisSize) + " seqs in your sabund vector.\n"); m->control_pressed = true; }
+               
+               if (m->control_pressed) { return 0; }
+        
+               delete order;
+               
+               return 0;
+               
+       }
+       catch(exception& e) {
+               m->errorOut(e, "SubSampleCommand", "getSample");
+               exit(1);
+       }
+}
+//**********************************************************************************************************************
+CountTable SubSample::getSample(CountTable& ct, int size, vector<string> Groups) {
+       try {
+        if (!ct.hasGroupInfo()) { m->mothurOut("[ERROR]: Cannot subsample by group because your count table doesn't have group information.\n"); m->control_pressed = true; }
+            
+        CountTable sampledCt;
+        map<string, vector<int> > tempCount;
+        for (int i = 0; i < Groups.size(); i++) {
+            sampledCt.addGroup(Groups[i]);
+            
+            vector<string> names = ct.getNamesOfSeqs(Groups[i]);
+            vector<string> allNames;
+            for (int j = 0; j < names.size(); j++) {
+                
+                if (m->control_pressed) { return sampledCt; }
+                
+                int num = ct. getGroupCount(names[j], Groups[i]);
+                for (int k = 0; k < num; k++) { allNames.push_back(names[j]); }
+            }
+            
+            random_shuffle(allNames.begin(), allNames.end());
+            
+            if (allNames.size() < size) { m->mothurOut("[ERROR]: You have selected a size that is larger than "+Groups[i]+" number of sequences.\n"); m->control_pressed = true; }
+            else{
+                for (int j = 0; j < size; j++) {
+                    
+                    if (m->control_pressed) { return sampledCt; }
+                    
+                    map<string, vector<int> >::iterator it = tempCount.find(allNames[j]);
+                    
+                    if (it == tempCount.end()) { //we have not seen this sequence at all yet
+                        vector<int> tempGroups; tempGroups.resize(Groups.size(), 0);
+                        tempGroups[i]++;
+                        tempCount[allNames[j]] = tempGroups;
+                    }else{
+                        tempCount[allNames[j]][i]++;
+                    }
+                }
+            }
+        }
+        
+        //build count table
+        for (map<string, vector<int> >::iterator it = tempCount.begin(); it != tempCount.end();) {
+            sampledCt.push_back(it->first, it->second);
+            tempCount.erase(it++);
+        }
+        
+        return sampledCt;
+    }
+       catch(exception& e) {
+               m->errorOut(e, "SubSampleCommand", "getSample");
+               exit(1);
+       }
+}
+//**********************************************************************************************************************
+CountTable SubSample::getSample(CountTable& ct, int size, vector<string> Groups, bool pickedGroups) {
+       try {
+        CountTable sampledCt;
+        if (!ct.hasGroupInfo() && pickedGroups) { m->mothurOut("[ERROR]: Cannot subsample with groups because your count table doesn't have group information.\n"); m->control_pressed = true; return sampledCt; }
+        
+        if (ct.hasGroupInfo()) {
+            map<string, vector<int> > tempCount;
+            vector<item> allNames;
+            map<string, int> groupMap;
+            
+            vector<string> myGroups;
+            if (pickedGroups) { myGroups = Groups; }
+            else {  myGroups = ct.getNamesOfGroups(); }
+            
+            for (int i = 0; i < myGroups.size(); i++) {
+                sampledCt.addGroup(myGroups[i]);
+                groupMap[myGroups[i]] = i;
+                
+                vector<string> names = ct.getNamesOfSeqs(myGroups[i]);
+                for (int j = 0; j < names.size(); j++) {
+                    
+                    if (m->control_pressed) { return sampledCt; }
+                    
+                    int num = ct. getGroupCount(names[j], myGroups[i]);
+                    for (int k = 0; k < num; k++) { 
+                        item temp(names[j], myGroups[i]);
+                        allNames.push_back(temp); 
+                    }
+                }
+            }
+            
+            random_shuffle(allNames.begin(), allNames.end());
+            
+            if (allNames.size() < size) { 
+                if (pickedGroups) { m->mothurOut("[ERROR]: You have selected a size that is larger than the number of sequences.\n"); } 
+                else { m->mothurOut("[ERROR]: You have selected a size that is larger than the number of sequences in the groups you chose.\n"); }
+                m->control_pressed = true; return sampledCt; }
+            else{
+                for (int j = 0; j < size; j++) {
+                    
+                    if (m->control_pressed) { return sampledCt; }
+                    
+                    map<string, vector<int> >::iterator it = tempCount.find(allNames[j].name);
+                    
+                    if (it == tempCount.end()) { //we have not seen this sequence at all yet
+                        vector<int> tempGroups; tempGroups.resize(myGroups.size(), 0);
+                        tempGroups[groupMap[allNames[j].group]]++;
+                        tempCount[allNames[j].name] = tempGroups;
+                    }else{
+                        tempCount[allNames[j].name][groupMap[allNames[j].group]]++;
+                    }
+                }
+            }
+            
+            //build count table
+            for (map<string, vector<int> >::iterator it = tempCount.begin(); it != tempCount.end();) {
+                sampledCt.push_back(it->first, it->second);
+                tempCount.erase(it++);
+            }
+            
+            //remove empty groups 
+            for (int i = 0; i < myGroups.size(); i++) { if (sampledCt.getGroupCount(myGroups[i]) == 0) { sampledCt.removeGroup(myGroups[i]); } }
+            
+        }else {
+            vector<string> names = ct.getNamesOfSeqs();
+            map<string, int> nameMap;
+            vector<string> allNames;
+            
+            for (int i = 0; i < names.size(); i++) {
+                int num = ct.getNumSeqs(names[i]);
+                for (int j = 0; j < num; j++) { allNames.push_back(names[i]); }
+            }
+            
+            if (allNames.size() < size) { m->mothurOut("[ERROR]: You have selected a size that is larger than the number of sequences.\n"); m->control_pressed = true; return sampledCt; }
+            else {
+                random_shuffle(allNames.begin(), allNames.end());
+                
+                for (int j = 0; j < size; j++) {
+                    if (m->control_pressed) { return sampledCt; }
+                    
+                    map<string, int>::iterator it = nameMap.find(allNames[j]);
+                    
+                    //we have not seen this sequence at all yet
+                    if (it == nameMap.end()) { nameMap[allNames[j]] = 1;  }
+                    else{  nameMap[allNames[j]]++;  }
+                }
+                
+                //build count table
+                for (map<string, int>::iterator it = nameMap.begin(); it != nameMap.end();) {
+                    sampledCt.push_back(it->first, it->second);
+                    nameMap.erase(it++);
+                }
+            }
+        }
+        
+        return sampledCt;
+    }
+       catch(exception& e) {
+               m->errorOut(e, "SubSampleCommand", "getSample");
+               exit(1);
+       }
+}
 //**********************************************************************************************************************