finished work on classify.seqs bayesian method and various bug fixes

[mothur.git] / seqsummarycommand.cpp

diff --git a/seqsummarycommand.cpp b/seqsummarycommand.cpp
index 82a1d2473a0bc35282abd46a5998ae65fbcce1bf..4eafaf8ed15e7fde8c60f9c3d80a376f1d796f3d 100644 (file)
--- a/seqsummarycommand.cpp
+++ b/seqsummarycommand.cpp
@@ -120,6 +120,10 @@ int SeqSummaryCommand::execute(){
                int ptile97_5   = int(numSeqs * 0.975);
                int ptile100    = numSeqs - 1;
                
+               //to compensate for blank sequences that would result in startPosition and endPostion equalling -1
+               if (startPosition[0] == -1) {  startPosition[0] = 0;    }
+               if (endPosition[0] == -1)       {  endPosition[0] = 0;          }
+               
                mothurOutEndLine();
                mothurOut("\t\tStart\tEnd\tNBases\tAmbigs\tPolymer"); mothurOutEndLine();
                mothurOut("Minimum:\t" + toString(startPosition[0]) + "\t" + toString(endPosition[0]) + "\t" + toString(seqLength[0]) + "\t" + toString(ambigBases[0]) + "\t" + toString(longHomoPolymer[0])); mothurOutEndLine();