logsd.cpp

   1 /*
   2  *  logsd.cpp
   3  *  Mothur
   4  *
   5  *  Created by Thomas Ryabin on 2/23/09.
   6  *  Copyright 2009 __MyCompanyName__. All rights reserved.
   7  *
   8  */
   9
  10 #include "logsd.h"
  11
  12 /***********************************************************************/
  13
  14 double LogSD::logS(double x){
  15         return -(1-x)*log(1-x)/x;
  16 }
  17 EstOutput LogSD::getValues(SAbundVector* rank){
  18         try {
  19
  20                 /*test data VVV
  21                 int dstring[] = {0,37,22,12,12,11,11,6,4,3,5,2,4,2,3,2,2,4,2,0,4,4,1,1,0,1,0,0,2,2,0,0,0,2,2,0,0,0,1,1,3,0,2,0,0,0,0,0,2,0,0,1,1,1,0,0,0,0,1,0,0,1,0,0,2,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,0,0,0,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1};
  22                 vector<int> dvec;
  23                 for(int i = 0; i < 1800; i++)
  24                         dvec.push_back(dstring[i]);
  25                 int mr = 1799;
  26                 int nb = 197;
  27                 int ns = 6815;
  28                 SAbundVector rankw = SAbundVector(dvec, mr,nb,ns);
  29                 SAbundVector *rank = &rankw;*/
  30
  31                 data.resize(2,0);
  32                 int numInd = rank->getNumSeqs();
  33                 int numSpec = rank->getNumBins();
  34                 double snRatio = (double)numSpec/numInd;
  35                 double x = .5;
  36                 double step = .4999999999;
  37
  38                 while(fabs(snRatio - logS(x)) > .00001) //This uses a binary search to find the value of x.
  39                 {
  40                         if(logS(x) > snRatio)
  41                                 x += step;
  42                         else
  43                                 x -= step;
  44                         step /= 2;
  45                 }
  46                 double alpha = numInd*(1-x)/x;
  47
  48                 int oct = 1;
  49                 double octSumObs = 0;
  50                 double sumObs = 0;
  51                 double octSumExp = 0;
  52                 double sumExp = 0;
  53                 double maxDiff = 0;
  54                 for(int y = 1; y < rank->size(); y++)
  55                 {
  56                         if(y - .5 < pow(2.0, oct))
  57                         {
  58                                 octSumObs += rank->get(y);
  59                                 octSumExp += alpha*pow(x,y)/(y);
  60                         }
  61                         else
  62                         {
  63                                 sumObs += octSumObs;
  64                                 octSumObs = rank->get(y);
  65
  66                                 sumExp += octSumExp;
  67                                 octSumExp = alpha*pow(x,y)/(y);
  68                                 oct++;
  69                         }
  70
  71                         if(y == rank->size()-1)
  72                         {
  73                                 sumObs += octSumObs;
  74                                 sumExp += octSumExp;
  75                         }
  76
  77                         double diff = fabs(sumObs - .5 - sumExp);
  78                         if(diff > maxDiff)
  79                                 maxDiff = diff;
  80                 }
  81
  82                 double DStatistic = (maxDiff + .5)/numSpec;
  83                 /*cout << "LogSD:\n";
  84                 cout << "D Test Statistic = " << DStatistic << "\n";
  85                 cout << ".05 confidence value = " << .89196/sqrt(numSpec) << "\n";
  86                 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";*/
  87
  88                 data[0] = DStatistic;
  89                 data[1] = .89196/sqrt(numSpec);
  90                 if (isnan(data[0]) || isinf(data[0])) { data[0] = 0; }
  91                 if (isnan(data[1]) || isinf(data[1])) { data[1] = 0; }
  92                 return data;
  93         }
  94         catch(exception& e) {
  95                 cout << "Standard Error: " << e.what() << " has occurred in the NPShannon class Function getValues. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
  96                 exit(1);
  97         }
  98         catch(...) {
  99                 cout << "An unknown error has occurred in the NPShannon class function getValues. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
 100                 exit(1);
 101         }
 102 }
 103
 104 /***********************************************************************/
 105