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#include "gelmanrubinimpl.h"
//
GelmanRubinImpl::GelmanRubinImpl( QWidget * parent, Qt::WFlags f)
: QDialog(parent, f) {
setupUi(this);
param=NULL;
outputFile=NULL;
out=NULL;
sep=",";
doGR=true;
groupBox->setEnabled(true);
// groupBox->setMinimumSize(QSize(0, 0));
groupBox->setHidden(true);
//connect(pushGo,SIGNAL(wasDbClicked(int,QMouseEvent*)),this,SLOT(computeAfterClick(int,QMouseEv
//QObject::connect(pushGo, SIGNAL(clicked()), auxSignals, SLOT(buttonClicked()));
}
//
void GelmanRubinImpl::compute(ParamQt*param,OutputFile*outputFile,QStringList*others,ostream* out,bool getparams,bool getnumedges,bool getpairwisedists) {
vector< vector< vector<double> > > v;//Store:file x iteration x property
int m=1+others->size();//Number of files
v.push_back(vector< vector<double> >());
outputFile->startOver();
while (outputFile->getIt(param)) {
v[0].push_back(extractInfo(param,false,getparams,getnumedges,getpairwisedists));
}
for (int i=0;i<others->size();i++) {
OutputFile * out2=new OutputFile(QStringList(others->at(i)),false);
v.push_back(vector< vector<double> >());
while (out2->getIt(param)) {
v[i+1].push_back(extractInfo(param,false,getparams,getnumedges,getpairwisedists));
}
}
//Table headers
table->setRowCount(1+v[0][0].size());
table->setColumnCount(m+2);
table->setColumnWidth(0,table->columnWidth(0)*2);
table->setItem(0,0,new QTableWidgetItem(QString("Parameter")));
for (int i=1;i<=m;i++) table->setItem(0,i,new QTableWidgetItem(QString("File ")+QString::number(i)));
table->setItem(0,1+m,new QTableWidgetItem(QString("Gelman-Rubin")));
nameTable(param,getparams,getnumedges,getpairwisedists);
//Table
for (unsigned int whichP=0;whichP<v[0][0].size();whichP++) {
vector< vector<double> > data;
for (int i=0;i<m;i++) {
data.push_back(vector<double>());
for (unsigned int j=0;j<v[i].size();j++) {
data[i].push_back(v[i][j][whichP]);
}
}
double R=test(&data);
for (int i=1;i<=m;i++) {
double mean=0.0;
for (unsigned int j=0;j<data[i-1].size();j++) mean+=data[i-1][j]/data[i-1].size();
table->setItem(whichP+1,i,new QTableWidgetItem(QString::number(mean)));
}
table->setItem(whichP+1,1+m,new QTableWidgetItem(QString::number(R)));
}
if(out!=NULL){
for(int i=0;i<table->rowCount();i++){
for(int j=0;j<table->columnCount()-1;j++){
*out<<table->item(i,j)->text().toStdString()<<sep;
}
*out<<table->item(i,table->columnCount()-1)->text().toStdString()<<endl;
}
}
}
void GelmanRubinImpl::computeTree(ParamQt*param,QStringList*files,ostream* out) {
int m=files->size();//Number of files
int iso=param->getTree()->getN();//Number of isolates
QHash<QString, vector<double> > hash;
for (int i=0;i<files->size();i++) {
OutputFile * out2=new OutputFile(QStringList(files->at(i)),false);
int its=0;
while (out2->getIt(param)) {
its++;
for (int ii=iso;ii<iso*2-2;ii++) {
Node * node=param->getTree()->getNode(ii);
QString key(iso,'0');
ParamTreeCons::makeKey(node,&key);
if (!hash.contains(key)) hash[key]=vector<double>(m,0.0);
hash[key][i]++;
}
};
QStringList keys=hash.uniqueKeys();
for (int ii=0;ii<keys.size();ii++) hash[keys[ii]][i]/=its;
}
vector< vector< vector<double> > > v;//Store:file x iteration x property
v.push_back(vector< vector<double> >());
QStringList keys=hash.uniqueKeys();
//Average standard deviation of split frequencies
double asdsf=0.0;
int cmp=0;
for (int i=0;i<m;i++) for (int j=i+1;j<m;j++) for (int k=0;k<keys.size();k++) {asdsf+=gsl_pow_2(hash[keys[k]][i]-hash[keys[k]][j]);cmp++;}
asdsf=sqrt(asdsf/cmp);
label->setText(QString("Average standard deviation of split frequencies=")+QString::number(asdsf));
//Table headers
table->setRowCount(keys.size()+1);
table->setColumnCount(m+1);
table->setColumnWidth(0,table->columnWidth(0)*2);
if(out!=NULL) *out<<asdsf<<",";
for (int i=1;i<=m;i++) {
table->setItem(0,i,new QTableWidgetItem(QString("File ")+QString::number(i)));
if(out!=NULL) *out<<"File "<<i;
if(out!=NULL && i<m) *out<<",";
}
if(out!=NULL) *out<<endl;
for (int i=0;i<keys.size();i++)
table->setItem(i+1,0,new QTableWidgetItem(keys[i]));
//Table
for (int i=0;i<keys.size();i++){
if(out!=NULL) *out<<qPrintable(keys[i])<<",";
for (int j=0;j<m;j++) {
table->setItem(i+1,j+1,new QTableWidgetItem(QString::number(hash[keys[i]][j])));
if(out!=NULL) *out<<hash[keys[i]][j];
if(out!=NULL && j<m-1) *out<<",";
}
if(out!=NULL) *out<<endl;
}
}
void GelmanRubinImpl::nameTable(ParamQt*p,bool getparams,bool getnumedges,bool getpairwisedists) {
int rownumber=1;
int iso=p->getTree()->getN();//Number of isolates
if(getparams){
table->setItem(rownumber++,0,new QTableWidgetItem(QString("theta")));
table->setItem(rownumber++,0,new QTableWidgetItem(QString("rho")));
table->setItem(rownumber++,0,new QTableWidgetItem(QString("delta")));
table->setItem(rownumber++,0,new QTableWidgetItem(QString("Num Edges")));
table->setItem(rownumber++,0,new QTableWidgetItem(QString("Likelihood")));
table->setItem(rownumber++,0,new QTableWidgetItem(QString("TMRCA")));
table->setItem(rownumber++,0,new QTableWidgetItem(QString("SumBraLen")));
}
if(getnumedges){
for (int i=0;i<iso+iso-2;i++)
table->setItem(rownumber++,0,new QTableWidgetItem(QString("Edges on branch ")+QString::number(i)));
}
if(getpairwisedists){
for (int i=0;i<iso;i++)for (int j=i+1;j<iso;j++)
table->setItem(rownumber++,0,new QTableWidgetItem(QString("PairwiseDistance")+QString::number(i)+QString("to")+QString::number(j)));
}
}
vector<double> GelmanRubinImpl::extractInfo(ParamQt*p, bool csv,bool getparams,bool getnumedges,bool getpairwisedists) {
vector<double> v;
int ccount=0;
if (csv) ccount=p->countConv();
int iso=p->getTree()->getN();
if(getparams) { for (int whichP=0;whichP<7+ccount;whichP++) {
if (whichP==0) {v.push_back(p->getTheta());continue;}
if (whichP==1) {v.push_back(p->getRho ());continue;}
if (whichP==2) {v.push_back(p->getDelta());continue;}
if (whichP==3) {v.push_back(p->getTree()->numRecEdge());continue;}
if (whichP==4) {v.push_back(p->getLL());continue;}
if (whichP==5) {v.push_back(p->getTree()->getNode(iso+iso-2)->getAge());continue;}
if (whichP==6) {v.push_back(p->getTree()->getTTotal());continue;}
if (whichP>6 && whichP<7+ccount) {v.push_back(p->getConvData(whichP-7));continue;}
} }
if(getnumedges) {for (int whichP=0;whichP<(iso+iso-2);whichP++) {
v.push_back(p->getTree()->numRecEdgeOnBranch(whichP));
}}
if(getpairwisedists) {
vector<double> vt=p->pairwiseDistanceList();
for(unsigned int c1=0;c1<vt.size();c1++) v.push_back(vt[c1]);
}
if(!getparams &&!getnumedges && !getpairwisedists) {
vector<double> vt;
p->consistentAgeList(&vt);
for(unsigned int c1=0;c1<vt.size();c1++) v.push_back(vt[c1]);
}
return v;
}
double GelmanRubinImpl::test(vector< vector<double> >*data) {
vector<double> means;
double mean;
unsigned int m=data->size();
unsigned int n=data->at(0).size();
for (unsigned int i=0;i<m;i++) if(data->at(i).size()<n) n=data->at(i).size();
for (unsigned int i=0;i<m;i++) {
mean=0.0;
for (unsigned int j=0;j<n;j++) {
mean+=data->at(i).at(j);
}
mean/=n;
means.push_back(mean);
}
mean=0.0;
for (unsigned int j=0;j<m;j++) mean+=means[j];
mean/=m;
double B=0.0;
for (unsigned int j=0;j<m;j++) B+=pow((means[j]-mean),2.0);
B=B*n/(m-1.0);
double W=0.0;
for (unsigned int j=0;j<m;j++) for (unsigned int t=0;t<n;t++) W+=pow((data->at(j).at(t)-means[j]),2.0);
W=W/m/(n-1.0);
double V=(n-1.0)/n*W+B/n;
return V/W;
}
void GelmanRubinImpl::on_exportButton_clicked() {
QString qstr = QFileDialog::getSaveFileName(this, tr("Save output file"),".","CSV files (*.csv);;All files (*)");
if (qstr==NULL) return;
QFile file(qstr);
if ( !file.open(QIODevice::WriteOnly)) return;
QTextStream ts( &file );
for (int i=0;i<table->rowCount();i++)
for (int j=0;j<table->columnCount();j++) {
if (table->item(i,j)!=NULL) ts<<table->item(i,j)->text();
if (j<table->columnCount()-1) ts<<","; else ts<<endl;
}
file.close();
}
void GelmanRubinImpl::outputTracer(ParamQt*param,OutputFile*outputfile,QString*qstr,bool csv,bool getparams,bool getnumedges,bool getpairwisedists) {
//Extract the information
vector< vector<double> > v;//Store:iteration x property
int iso=param->getTree()->getN();//Number of isolates
outputfile->startOver();
while (outputfile->getIt(param)) {
v.push_back(extractInfo(param,csv,getparams,getnumedges,getpairwisedists));
}
//Write header
int ccount=0;
if (csv) ccount=param->countConv();
QFile file(*qstr);
if ( !file.open(QIODevice::WriteOnly)) return;
QTextStream ts( &file );
QString sep;
if (csv) sep=",";else sep="\t";
if (csv && getparams) {
ts<<"\"iter\",\"theta\",\"rho\",\"delta\",\"numrecedge\",\"likelihood\",\"TMRCA\",\"SumBraLen\",";
for (int i=0;i<ccount;i++) {
ts<< "\""<< param->getConvName(i).c_str()<< "\"";
if (i<ccount-1 || getpairwisedists || getparams) ts<<sep;
}
} else if(getparams){
ts<<"iter\ttheta\trho\tdelta\tnumrecedge\tlikelihood\ttmrca\tsumbralen";
if(getnumedges||getpairwisedists)ts<<"\t";
}
if(getnumedges) {for (int i=0;i<iso+iso-2;i++) {
if (csv) ts<<"\"branch"<<i<<"\""; else ts<<"branch"<<i;
if (i<iso+iso-3 || getpairwisedists) ts<<sep;
}}
if(getpairwisedists) {
for (int i=0;i<iso;i++) {
for (int j=i+1;j<iso;j++) {
if (csv) ts<<"\"PairwiseDistance"<<i<<"to"<<j<<"\""; else ts<<"PairwiseDistance"<<i<<"to"<<j;
if (i<iso+iso-3 || getpairwisedists) ts<<sep;
}
}
}
if(!getpairwisedists&& !getnumedges && !getparams) {
ts<<"\"iter\""<<sep;
for (int i=0;i<iso-1;i++) {
ts<<"\"blen"<<i<<"\"";
if (i<iso-2) ts<<sep;
}
}
ts<<endl;
//Write the information
int state=0;
for (unsigned int i=0;i<v.size();i++) {
state++;
ts<<state<<sep;
for (unsigned int j=0;j<v[i].size();j++) {
ts<<v[i][j];
if (j<v[i].size()-1) ts<<sep; else ts<<endl;
}
}
file.close();
}
QString GelmanRubinImpl::compareTrueTree(ParamQt*param,QString outputfile,QString newick) {
int iso=param->getTree()->getN();//Number of isolates
QHash<QString, vector<double> > hash;
//Analyze partitions in the output file
OutputFile * out2=new OutputFile(QStringList(outputfile),false);
int its=0;
while (out2->getIt(param)) {
its++;
for (int ii=iso;ii<iso*2-2;ii++) {
Node * node=param->getTree()->getNode(ii);
QString key(iso,'0');
ParamTreeCons::makeKey(node,&key);
if (!hash.contains(key)) hash[key]=vector<double>(2,0.0);
hash[key][0]++;
}
};
QStringList keys=hash.uniqueKeys();
for (int ii=0;ii<keys.size();ii++) hash[keys[ii]][0]/=its;
//Analyze partitions in true tree
Tree * truth=new Tree(newick.toStdString());
for (int ii=iso;ii<iso*2-2;ii++) {
Node * node=truth->getNode(ii);
QString key(iso,'0');
ParamTreeCons::makeKey(node,&key);
if (!hash.contains(key)) hash[key]=vector<double>(2,0.0);
hash[key][1]=1.0;
}
//Calculate stats
keys=hash.uniqueKeys();
double score=0.0;
double efficiency=0.0;double eff2=0.0;
double accuracy=0.0;double acc2=0.0;
for (int ii=0;ii<keys.size();ii++) {
if (hash[keys[ii]][1]==0.0) score-=hash[keys[ii]][0];else score+=hash[keys[ii]][0];
if (hash[keys[ii]][1]==1.0) {eff2++;if (hash[keys[ii]][0]>=0.5) efficiency++;};
if (hash[keys[ii]][0]>=0.5) {acc2++;if (hash[keys[ii]][1]==1.0) accuracy ++;};
}
return QString("Score=%1; Efficiency=%2; Accuracy=%3").arg(score).arg(efficiency/eff2).arg(accuracy/acc2);
}
void GelmanRubinImpl::on_buttonBox_accepted() {
if(!doGR) {
bool usecsv=true;
if(sep.compare(",")!=0)usecsv=false;
if(param==NULL) throw("Export not initalised!");
if(radioType1->isChecked()) outputTracer(param,outputFile,&(others[0]),usecsv,true,false,false);
else if(radioType2->isChecked()) outputTracer(param,outputFile,&(others[0]),usecsv,true,true,false);
else if(radioType3->isChecked()) outputTracer(param,outputFile,&(others[0]),usecsv,true,false,true);
else if(radioType4->isChecked()) outputTracer(param,outputFile,&(others[0]),usecsv,true,true,true);
else if(radioType5->isChecked()) outputTracer(param,outputFile,&(others[0]),usecsv,false,false,false);
}
close();
}
void GelmanRubinImpl::on_buttonBox_rejected() {
close();
}
void GelmanRubinImpl::on_pushGo_clicked()
{
if(param==NULL) throw("Gelman Rubin not initalised!");
if(radioType1->isChecked()) compute(param,outputFile,&others,NULL,true,false,false);
else if(radioType2->isChecked()) compute(param,outputFile,&others,NULL,true,true,false);
else if(radioType3->isChecked()) compute(param,outputFile,&others,NULL,true,false,true);
else compute(param,outputFile,&others,NULL,true,true,true);
groupBox->setEnabled(false);
}
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