#include "corraxescommand.h"
#include "sharedutilities.h"
+#include "linearalgebra.h"
//**********************************************************************************************************************
vector<string> CorrAxesCommand::setParameters(){
}
string temp;
temp = validParameter.validFile(parameters, "numaxes", false); if (temp == "not found"){ temp = "3"; }
- convert(temp, numaxes);
+ m->mothurConvert(temp, numaxes);
method = validParameter.validFile(parameters, "method", false); if (method == "not found"){ method = "pearson"; }
if (metadatafile == "") { out << "OTU"; }
else { out << "Feature"; }
- for (int i = 0; i < numaxes; i++) { out << '\t' << "axis" << (i+1); }
+ for (int i = 0; i < numaxes; i++) { out << '\t' << "axis" << (i+1) << "\tp-value"; }
out << "\tlength" << endl;
if (method == "pearson") { calcPearson(axes, out); }
int CorrAxesCommand::calcPearson(map<string, vector<float> >& axes, ofstream& out) {
try {
+ LinearAlgebra linear;
+
//find average of each axis - X
vector<float> averageAxes; averageAxes.resize(numaxes, 0.0);
for (map<string, vector<float> >::iterator it = axes.begin(); it != axes.end(); it++) {
//for each otu
for (int i = 0; i < lookupFloat[0]->getNumBins(); i++) {
- if (metadatafile == "") { out << i+1; }
+ if (metadatafile == "") { out << m->currentBinLabels[i]; }
else { out << metadataLabels[i]; }
//find the averages this otu - Y
double denom = (sqrt(denomTerm1) * sqrt(denomTerm2));
r = numerator / denom;
+
+ if (isnan(r) || isinf(r)) { r = 0.0; }
+
rValues[k] = r;
out << '\t' << r;
+
+ double sig = linear.calcPearsonSig(lookupFloat.size(), r);
+
+ out << '\t' << sig;
}
double sum = 0;
int CorrAxesCommand::calcSpearman(map<string, vector<float> >& axes, ofstream& out) {
try {
+ LinearAlgebra linear;
+ vector<double> sf;
+
//format data
vector< map<float, int> > tableX; tableX.resize(numaxes);
map<float, int>::iterator itTable;
vector<spearmanRank> ties;
int rankTotal = 0;
+ double sfTemp = 0.0;
for (int j = 0; j < scores[i].size(); j++) {
rankTotal += (j+1);
ties.push_back(scores[i][j]);
float thisrank = rankTotal / (float) ties.size();
rankAxes[ties[k].name].push_back(thisrank);
}
+ int t = ties.size();
+ sfTemp += (t*t*t-t);
ties.clear();
rankTotal = 0;
}
}
}
}
+ sf.push_back(sfTemp);
}
//for each otu
for (int i = 0; i < lookupFloat[0]->getNumBins(); i++) {
- if (metadatafile == "") { out << i+1; }
+ if (metadatafile == "") { out << m->currentBinLabels[i]; }
else { out << metadataLabels[i]; }
//find the ranks of this otu - Y
sort(otuScores.begin(), otuScores.end(), compareSpearman);
+ double sg = 0.0;
map<string, float> rankOtus;
vector<spearmanRank> ties;
int rankTotal = 0;
float thisrank = rankTotal / (float) ties.size();
rankOtus[ties[k].name] = thisrank;
}
+ int t = ties.size();
+ sg += (t*t*t-t);
ties.clear();
rankTotal = 0;
}
p = (SX2 + SY2 - di) / (2.0 * sqrt((SX2*SY2)));
+ if (isnan(p) || isinf(p)) { p = 0.0; }
+
out << '\t' << p;
pValues[j] = p;
+
+ double sig = linear.calcSpearmanSig(n, sf[j], sg, di);
+ out << '\t' << sig;
+
}
double sum = 0;
int CorrAxesCommand::calcKendall(map<string, vector<float> >& axes, ofstream& out) {
try {
+ LinearAlgebra linear;
+
//format data
vector< vector<spearmanRank> > scores; scores.resize(numaxes);
for (map<string, vector<float> >::iterator it = axes.begin(); it != axes.end(); it++) {
//for each otu
for (int i = 0; i < lookupFloat[0]->getNumBins(); i++) {
- if (metadatafile == "") { out << i+1; }
+ if (metadatafile == "") { out << m->currentBinLabels[i]; }
else { out << metadataLabels[i]; }
//find the ranks of this otu - Y
}
double p = (numCoor - numDisCoor) / (float) count;
-
+ if (isnan(p) || isinf(p)) { p = 0.0; }
+
out << '\t' << p;
pValues[j] = p;
-
+
+ double sig = linear.calcKendallSig(scores[j].size(), p);
+
+ out << '\t' << sig;
}
double sum = 0;