X-Git-Url: https://git.donarmstrong.com/?a=blobdiff_plain;f=cooccurrencecommand.cpp;h=e4c915d6a14e4a9755a17d64c073fdda1440803b;hb=2009a1a1f47e7467094d844e7c07ab8ddf7bb447;hp=75b87fae4303f161a1f75fb632e831672a80e29d;hpb=0caf3fbabaa3ece404f8ce77f4c883dc5b1bf1dc;p=mothur.git

diff --git a/cooccurrencecommand.cpp b/cooccurrencecommand.cpp
index 75b87fa..e4c915d 100644
--- a/cooccurrencecommand.cpp
+++ b/cooccurrencecommand.cpp
@@ -180,7 +180,7 @@ int CooccurrenceCommand::execute(){
         m->openOutputFile(outputFileName, out);
         outputNames.push_back(outputFileName);  outputTypes["summary"].push_back(outputFileName);
         out.setf(ios::fixed, ios::floatfield); out.setf(ios::showpoint);
-        out << "metric\tlabel\tScore\tpValue\n";
+        out << "metric\tlabel\tScore\tzScore\tstandardDeviation\n";
 
 		//as long as you are not at the end of the file or done wih the lines you want
 		while((lookup[0] != NULL) && ((allLines == 1) || (userLabels.size() != 0))) {
@@ -272,6 +272,12 @@ int CooccurrenceCommand::execute(){
 int CooccurrenceCommand::getCooccurrence(vector<SharedRAbundVector*>& thisLookUp, ofstream& out){
     try {
         int numOTUS = thisLookUp[0]->getNumBins();
+        
+        if(numOTUS < 2) {
+            m->mothurOut("Not enough OTUs for co-occurrence analysis, skipping"); m->mothurOutEndLine();
+            return 0;
+        }
+        
         vector< vector<int> > co_matrix; co_matrix.resize(thisLookUp[0]->getNumBins());
         for (int i = 0; i < thisLookUp[0]->getNumBins(); i++) { co_matrix[i].resize((thisLookUp.size()), 0); }
         vector<int> columntotal; columntotal.resize(thisLookUp.size(), 0);
@@ -530,12 +536,20 @@ int CooccurrenceCommand::getCooccurrence(vector<SharedRAbundVector*>& thisLookUp
         
         m->mothurOutEndLine(); m->mothurOut("average metric score: " + toString(nullMean)); m->mothurOutEndLine();
         
+        //calc_p_value is not a statistical p-value, it's just the average that are either > or < the initscore.
+        //All it does is show what is expected in a competitively structured community
+        //zscore is output so p-value can be looked up in a ztable
         double pvalue = 0.0;
         if (metric == "cscore" || metric == "checker") { pvalue = trial.calc_pvalue_greaterthan (stats, initscore); }
         else{ pvalue = trial.calc_pvalue_lessthan (stats, initscore); }
+
+        double sd = trial.getSD(runs, stats, nullMean);
+
+        double zscore = trial.get_zscore(sd, nullMean, initscore);
         
-        m->mothurOut("pvalue: " + toString(pvalue)); m->mothurOutEndLine();
-        out << metric << '\t' << thisLookUp[0]->getLabel() << '\t' << nullMean << '\t' << pvalue << endl;
+        m->mothurOut("zscore: " + toString(zscore)); m->mothurOutEndLine();
+        m->mothurOut("standard deviation: " + toString(sd)); m->mothurOutEndLine();
+        out << metric << '\t' << thisLookUp[0]->getLabel() << '\t' << nullMean << '\t' << zscore << '\t' << sd << endl;
         
         return 0;
     }