*** empty log message ***

[mothur.git] / logsd.cpp

diff --git a/logsd.cpp b/logsd.cpp
index e959ab8cb8c1bcce52350331653903345b89c48b..782af2a5dc0514c838a0be217d44fab1ceffdecd 100644 (file)
--- a/logsd.cpp
+++ b/logsd.cpp
@@ -35,8 +35,7 @@ EstOutput LogSD::getValues(SAbundVector* rank){
                double x = .5;
                double step = .4999999999;
                
-               while(fabs(snRatio - logS(x)) > .00001) //This uses a binary search to find the value of x.
-               {
+               while(fabs(snRatio - logS(x)) > .00001) { //This uses a binary search to find the value of x.
                        if(logS(x) > snRatio)
                                x += step;
                        else
@@ -51,15 +50,12 @@ EstOutput LogSD::getValues(SAbundVector* rank){
                double octSumExp = 0;
                double sumExp = 0;
                double maxDiff = 0;
-               for(int y = 1; y < rank->size(); y++)
-               {
-                       if(y - .5 < pow(2.0, oct))
-                       {
+               for(int y = 1; y < rank->size(); y++) {
+                       if(y - .5 < pow(2.0, oct)) {
                                octSumObs += rank->get(y);
                                octSumExp += alpha*pow(x,y)/(y);
                        }       
-                       else
-                       {
+                       else {
                                sumObs += octSumObs;
                                octSumObs = rank->get(y);
 
@@ -68,8 +64,7 @@ EstOutput LogSD::getValues(SAbundVector* rank){
                                oct++;
                        }
        
-                       if(y == rank->size()-1)
-                       {
+                       if(y == rank->size()-1) {
                                sumObs += octSumObs;
                                sumExp += octSumExp;
                        }
@@ -85,6 +80,7 @@ EstOutput LogSD::getValues(SAbundVector* rank){
                cout << ".05 confidence value = " << .89196/sqrt(numSpec) << "\n";
                cout << "If D Test Statistic is greater than the critical value then the data fits the Log Series Distribution model w/ 95% confidence.\n\n";*/
                
+
                data[0] = (maxDiff + .5)/numSpec;
                data[1] = 0.886/sqrt(numSpec);
                data[2] = 1.031/sqrt(numSpec);
@@ -96,11 +92,11 @@ EstOutput LogSD::getValues(SAbundVector* rank){
                return data;
        }
        catch(exception& e) {
-               cout << "Standard Error: " << e.what() << " has occurred in the NPShannon class Function getValues. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
+               cout << "Standard Error: " << e.what() << " has occurred in the LogSD class Function getValues. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
                exit(1);
        }
        catch(...) {
-               cout << "An unknown error has occurred in the NPShannon class function getValues. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
+               cout << "An unknown error has occurred in the LogSD class function getValues. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
                exit(1);
        }       
 }