//**********************************************************************************************************************
vector<string> MatrixOutputCommand::setParameters(){
try {
- CommandParameter pshared("shared", "InputTypes", "", "", "none", "none", "none",false,true); parameters.push_back(pshared);
- CommandParameter plabel("label", "String", "", "", "", "", "",false,false); parameters.push_back(plabel);
- CommandParameter psubsample("subsample", "String", "", "", "", "", "",false,false); parameters.push_back(psubsample);
- CommandParameter pgroups("groups", "String", "", "", "", "", "",false,false); parameters.push_back(pgroups);
- CommandParameter pcalc("calc", "Multiple", "sharedsobs-sharedchao-sharedace-jabund-sorabund-jclass-sorclass-jest-sorest-thetayc-thetan-kstest-sharednseqs-ochiai-anderberg-kulczynski-kulczynskicody-lennon-morisitahorn-braycurtis-whittaker-odum-canberra-structeuclidean-structchord-hellinger-manhattan-structpearson-soergel-spearman-structkulczynski-speciesprofile-hamming-structchi2-gower-memchi2-memchord-memeuclidean-mempearson", "jclass-thetayc", "", "", "",true,false); parameters.push_back(pcalc);
- CommandParameter poutput("output", "Multiple", "lt-square", "lt", "", "", "",false,false); parameters.push_back(poutput);
- CommandParameter pprocessors("processors", "Number", "", "1", "", "", "",false,false); parameters.push_back(pprocessors);
- CommandParameter piters("iters", "Number", "", "1000", "", "", "",false,false); parameters.push_back(piters);
- CommandParameter pinputdir("inputdir", "String", "", "", "", "", "",false,false); parameters.push_back(pinputdir);
- CommandParameter poutputdir("outputdir", "String", "", "", "", "", "",false,false); parameters.push_back(poutputdir);
+ CommandParameter pshared("shared", "InputTypes", "", "", "none", "none", "none","phylip",false,true,true); parameters.push_back(pshared);
+ CommandParameter plabel("label", "String", "", "", "", "", "","",false,false); parameters.push_back(plabel);
+ CommandParameter psubsample("subsample", "String", "", "", "", "", "","",false,false); parameters.push_back(psubsample);
+ CommandParameter pgroups("groups", "String", "", "", "", "", "","",false,false); parameters.push_back(pgroups);
+ CommandParameter pcalc("calc", "Multiple", "sharedsobs-sharedchao-sharedace-jabund-sorabund-jclass-sorclass-jest-sorest-thetayc-thetan-kstest-sharednseqs-ochiai-anderberg-kulczynski-kulczynskicody-lennon-morisitahorn-braycurtis-whittaker-odum-canberra-structeuclidean-structchord-hellinger-manhattan-structpearson-soergel-spearman-structkulczynski-speciesprofile-hamming-structchi2-gower-memchi2-memchord-memeuclidean-mempearson", "jclass-thetayc", "", "", "","",true,false,true); parameters.push_back(pcalc);
+ CommandParameter poutput("output", "Multiple", "lt-square-column", "lt", "", "", "","",false,false); parameters.push_back(poutput);
+ CommandParameter pmode("mode", "Multiple", "average-median", "average", "", "", "","",false,false); parameters.push_back(pmode);
+ CommandParameter pprocessors("processors", "Number", "", "1", "", "", "","",false,false,true); parameters.push_back(pprocessors);
+ CommandParameter piters("iters", "Number", "", "1000", "", "", "","",false,false); parameters.push_back(piters);
+ CommandParameter pinputdir("inputdir", "String", "", "", "", "", "","",false,false); parameters.push_back(pinputdir);
+ CommandParameter poutputdir("outputdir", "String", "", "", "", "", "","",false,false); parameters.push_back(poutputdir);
vector<string> myArray;
for (int i = 0; i < parameters.size(); i++) { myArray.push_back(parameters[i].name); }
try {
string helpString = "";
ValidCalculators validCalculator;
- helpString += "The dist.shared command parameters are shared, groups, calc, output, processors, subsample, iters and label. shared is a required, unless you have a valid current file.\n";
+ helpString += "The dist.shared command parameters are shared, groups, calc, output, processors, subsample, iters, mode, and label. shared is a required, unless you have a valid current file.\n";
helpString += "The groups parameter allows you to specify which of the groups in your groupfile you would like included used.\n";
helpString += "The group names are separated by dashes. The label parameter allows you to select what distance levels you would like distance matrices created for, and is also separated by dashes.\n";
helpString += "The iters parameter allows you to choose the number of times you would like to run the subsample.\n";
helpString += "The subsample parameter allows you to enter the size pergroup of the sample or you can set subsample=T and mothur will use the size of your smallest group.\n";
helpString += "The dist.shared command should be in the following format: dist.shared(groups=yourGroups, calc=yourCalcs, label=yourLabels).\n";
- helpString += "The output parameter allows you to specify format of your distance matrix. Options are lt, and square. The default is lt.\n";
+ helpString += "The output parameter allows you to specify format of your distance matrix. Options are lt, column and square. The default is lt.\n";
+ helpString += "The mode parameter allows you to specify if you want the average or the median values reported when subsampling. Options are average, and median. The default is average.\n";
helpString += "Example dist.shared(groups=A-B-C, calc=jabund-sorabund).\n";
helpString += "The default value for groups is all the groups in your groupfile.\n";
helpString += "The default value for calc is jclass and thetayc.\n";
}
}
//**********************************************************************************************************************
+string MatrixOutputCommand::getOutputPattern(string type) {
+ try {
+ string pattern = "";
+
+ if (type == "phylip") { pattern = "[filename],[calc],[distance],[outputtag],dist-[filename],[calc],[distance],[outputtag],[tag2],dist"; }
+ else { m->mothurOut("[ERROR]: No definition for type " + type + " output pattern.\n"); m->control_pressed = true; }
+
+ return pattern;
+ }
+ catch(exception& e) {
+ m->errorOut(e, "MatrixOutputCommand", "getOutputPattern");
+ exit(1);
+ }
+}
+//**********************************************************************************************************************
MatrixOutputCommand::MatrixOutputCommand(){
try {
abort = true; calledHelp = true;
setParameters();
vector<string> tempOutNames;
outputTypes["phylip"] = tempOutNames;
- outputTypes["subsample"] = tempOutNames;
}
catch(exception& e) {
m->errorOut(e, "MatrixOutputCommand", "MatrixOutputCommand");
//initialize outputTypes
vector<string> tempOutNames;
outputTypes["phylip"] = tempOutNames;
- outputTypes["subsample"] = tempOutNames;
//if the user changes the input directory command factory will send this info to us in the output parameter
string inputDir = validParameter.validFile(parameters, "inputdir", false);
}
output = validParameter.validFile(parameters, "output", false); if(output == "not found"){ output = "lt"; }
- if ((output != "lt") && (output != "square")) { m->mothurOut(output + " is not a valid output form. Options are lt and square. I will use lt."); m->mothurOutEndLine(); output = "lt"; }
+ if ((output != "lt") && (output != "square") && (output != "column")) { m->mothurOut(output + " is not a valid output form. Options are lt, column and square. I will use lt."); m->mothurOutEndLine(); output = "lt"; }
+
+ mode = validParameter.validFile(parameters, "mode", false); if(mode == "not found"){ mode = "average"; }
+ if ((mode != "average") && (mode != "median")) { m->mothurOut(mode + " is not a valid mode. Options are average and medina. I will use average."); m->mothurOutEndLine(); output = "average"; }
groups = validParameter.validFile(parameters, "groups", false);
if (groups == "not found") { groups = ""; }
else { subsample = false; }
}
- if (subsample == false) { iters = 1; }
+ if (subsample == false) { iters = 0; }
if (abort == false) {
set<string> userLabels = labels;
if (lookup.size() < 2) { m->mothurOut("You have not provided enough valid groups. I cannot run the command."); m->mothurOutEndLine(); delete input; for (int i = 0; i < lookup.size(); i++) { delete lookup[i]; } return 0;}
-
- numGroups = lookup.size();
- lines.resize(processors);
- for (int i = 0; i < processors; i++) {
- lines[i].start = int (sqrt(float(i)/float(processors)) * numGroups);
- lines[i].end = int (sqrt(float(i+1)/float(processors)) * numGroups);
- }
if (subsample) {
if (subsampleSize == -1) { //user has not set size, set size = smallest samples size
lookup = temp;
m->setGroups(Groups);
}
+
+ if (lookup.size() < 2) { m->mothurOut("You have not provided enough valid groups. I cannot run the command."); m->mothurOutEndLine(); m->control_pressed = true; delete input; return 0; }
}
-
+
+ numGroups = lookup.size();
+ lines.resize(processors);
+ for (int i = 0; i < processors; i++) {
+ lines[i].start = int (sqrt(float(i)/float(processors)) * numGroups);
+ lines[i].end = int (sqrt(float(i+1)/float(processors)) * numGroups);
+ }
+
if (m->control_pressed) { delete input; for (int i = 0; i < lookup.size(); i++) { delete lookup[i]; } m->clearGroups(); return 0; }
//as long as you are not at the end of the file or done wih the lines you want
try {
out.setf(ios::fixed, ios::floatfield); out.setf(ios::showpoint);
-
- //output num seqs
- out << simMatrix.size() << endl;
-
+
if (output == "lt") {
- for (int m = 0; m < simMatrix.size(); m++) {
- out << lookup[m]->getGroup() << '\t';
- for (int n = 0; n < m; n++) {
- out << simMatrix[m][n] << '\t';
+ out << simMatrix.size() << endl;
+ for (int b = 0; b < simMatrix.size(); b++) {
+ out << lookup[b]->getGroup() << '\t';
+ for (int n = 0; n < b; n++) {
+ out << simMatrix[b][n] << '\t';
}
out << endl;
}
+ }else if (output == "column") {
+ for (int b = 0; b < simMatrix.size(); b++) {
+ for (int n = 0; n < b; n++) {
+ out << lookup[b]->getGroup() << '\t' << lookup[n]->getGroup() << '\t' << simMatrix[b][n] << endl;
+ }
+ }
}else{
- for (int m = 0; m < simMatrix.size(); m++) {
- out << lookup[m]->getGroup() << '\t';
- for (int n = 0; n < simMatrix[m].size(); n++) {
- out << simMatrix[m][n] << '\t';
+ out << simMatrix.size() << endl;
+ for (int b = 0; b < simMatrix.size(); b++) {
+ out << lookup[b]->getGroup() << '\t';
+ for (int n = 0; n < simMatrix[b].size(); n++) {
+ out << simMatrix[b][n] << '\t';
}
out << endl;
}
/***********************************************************/
int MatrixOutputCommand::process(vector<SharedRAbundVector*> thisLookup){
try {
- EstOutput data;
- vector<SharedRAbundVector*> subset;
vector< vector< vector<seqDist> > > calcDistsTotals; //each iter, one for each calc, then each groupCombos dists. this will be used to make .dist files
-
vector< vector<seqDist> > calcDists; calcDists.resize(matrixCalculators.size());
-
- for (int thisIter = 0; thisIter < iters; thisIter++) {
+
+ for (int thisIter = 0; thisIter < iters+1; thisIter++) {
+ map<string, string> variables;
+ variables["[filename]"] = outputDir + m->getRootName(m->getSimpleName(sharedfile));
+ variables["[distance]"] = thisLookup[0]->getLabel();
+ variables["[tag2]"] = "";
vector<SharedRAbundVector*> thisItersLookup = thisLookup;
- if (subsample) {
+ if (subsample && (thisIter != 0)) {
SubSample sample;
vector<string> tempLabels; //dont need since we arent printing the sampled sharedRabunds
//Close all thread handles and free memory allocations.
for(int i=0; i < pDataArray.size(); i++){
+ if (pDataArray[i]->count != (pDataArray[i]->end-pDataArray[i]->start)) {
+ m->mothurOut("[ERROR]: process " + toString(i) + " only processed " + toString(pDataArray[i]->count) + " of " + toString(pDataArray[i]->end-pDataArray[i]->start) + " groups assigned to it, quitting. \n"); m->control_pressed = true;
+ }
for (int j = 0; j < pDataArray[i]->thisLookup.size(); j++) { delete pDataArray[i]->thisLookup[j]; }
for (int k = 0; k < calcDists.size(); k++) {
#endif
}
- calcDistsTotals.push_back(calcDists);
-
- if (subsample) {
-
+ if (subsample && (thisIter != 0)) {
+ if((thisIter) % 100 == 0){ m->mothurOut(toString(thisIter)); m->mothurOutEndLine(); }
+ calcDistsTotals.push_back(calcDists);
+ for (int i = 0; i < calcDists.size(); i++) {
+ for (int j = 0; j < calcDists[i].size(); j++) {
+ if (m->debug) { m->mothurOut("[DEBUG]: Results: iter = " + toString(thisIter) + ", " + thisLookup[calcDists[i][j].seq1]->getGroup() + " - " + thisLookup[calcDists[i][j].seq2]->getGroup() + " distance = " + toString(calcDists[i][j].dist) + ".\n"); }
+ }
+ }
//clean up memory
for (int i = 0; i < thisItersLookup.size(); i++) { delete thisItersLookup[i]; }
thisItersLookup.clear();
- for (int i = 0; i < calcDists.size(); i++) { calcDists[i].clear(); }
+ }else { //print results for whole dataset
+ for (int i = 0; i < calcDists.size(); i++) {
+ if (m->control_pressed) { break; }
+
+ //initialize matrix
+ vector< vector<double> > matrix; //square matrix to represent the distance
+ matrix.resize(thisLookup.size());
+ for (int k = 0; k < thisLookup.size(); k++) { matrix[k].resize(thisLookup.size(), 0.0); }
+
+ for (int j = 0; j < calcDists[i].size(); j++) {
+ int row = calcDists[i][j].seq1;
+ int column = calcDists[i][j].seq2;
+ double dist = calcDists[i][j].dist;
+
+ matrix[row][column] = dist;
+ matrix[column][row] = dist;
+ }
+
+ variables["[outputtag]"] = output;
+ variables["[calc]"] = matrixCalculators[i]->getName();
+ string distFileName = getOutputFileName("phylip",variables);
+ outputNames.push_back(distFileName); outputTypes["phylip"].push_back(distFileName);
+
+ ofstream outDist;
+ m->openOutputFile(distFileName, outDist);
+ outDist.setf(ios::fixed, ios::floatfield); outDist.setf(ios::showpoint);
+
+ printSims(outDist, matrix);
+
+ outDist.close();
+ }
}
+ for (int i = 0; i < calcDists.size(); i++) { calcDists[i].clear(); }
}
- if (iters != 1) {
+ if (iters != 0) {
//we need to find the average distance and standard deviation for each groups distance
-
- vector< vector<seqDist> > calcAverages; calcAverages.resize(matrixCalculators.size());
- for (int i = 0; i < calcAverages.size(); i++) { //initialize sums to zero.
- calcAverages[i].resize(calcDistsTotals[0][i].size());
-
- for (int j = 0; j < calcAverages[i].size(); j++) {
- calcAverages[i][j].seq1 = calcDists[i][j].seq1;
- calcAverages[i][j].seq2 = calcDists[i][j].seq2;
- calcAverages[i][j].dist = 0.0;
- }
- }
-
- for (int thisIter = 0; thisIter < iters; thisIter++) { //sum all groups dists for each calculator
- for (int i = 0; i < calcAverages.size(); i++) { //initialize sums to zero.
- for (int j = 0; j < calcAverages[i].size(); j++) {
- calcAverages[i][j].dist += calcDistsTotals[thisIter][i][j].dist;
- }
- }
- }
-
- for (int i = 0; i < calcAverages.size(); i++) { //finds average.
- for (int j = 0; j < calcAverages[i].size(); j++) {
- calcAverages[i][j].dist /= (float) iters;
- }
- }
+ vector< vector<seqDist> > calcAverages = m->getAverages(calcDistsTotals, mode);
//find standard deviation
- vector< vector<seqDist> > stdDev; stdDev.resize(matrixCalculators.size());
- for (int i = 0; i < stdDev.size(); i++) { //initialize sums to zero.
- stdDev[i].resize(calcDistsTotals[0][i].size());
-
- for (int j = 0; j < stdDev[i].size(); j++) {
- stdDev[i][j].seq1 = calcDists[i][j].seq1;
- stdDev[i][j].seq2 = calcDists[i][j].seq2;
- stdDev[i][j].dist = 0.0;
- }
- }
-
- for (int thisIter = 0; thisIter < iters; thisIter++) { //compute the difference of each dist from the mean, and square the result of each
- for (int i = 0; i < stdDev.size(); i++) {
- for (int j = 0; j < stdDev[i].size(); j++) {
- stdDev[i][j].dist += ((calcDistsTotals[thisIter][i][j].dist - calcAverages[i][j].dist) * (calcDistsTotals[thisIter][i][j].dist - calcAverages[i][j].dist));
- }
- }
- }
-
- for (int i = 0; i < stdDev.size(); i++) { //finds average.
- for (int j = 0; j < stdDev[i].size(); j++) {
- stdDev[i][j].dist /= (float) iters;
- stdDev[i][j].dist = sqrt(stdDev[i][j].dist);
- }
- }
+ vector< vector<seqDist> > stdDev = m->getStandardDeviation(calcDistsTotals, calcAverages);
//print results
for (int i = 0; i < calcDists.size(); i++) {
stdmatrix[row][column] = stdDist;
stdmatrix[column][row] = stdDist;
}
-
- string distFileName = outputDir + m->getRootName(m->getSimpleName(sharedfile)) + matrixCalculators[i]->getName() + "." + thisLookup[0]->getLabel() + "." + output + ".ave.dist";
+
+ map<string, string> variables;
+ variables["[filename]"] = outputDir + m->getRootName(m->getSimpleName(sharedfile));
+ variables["[distance]"] = thisLookup[0]->getLabel();
+ variables["[outputtag]"] = output;
+ variables["[tag2]"] = "ave";
+ variables["[calc]"] = matrixCalculators[i]->getName();
+ string distFileName = getOutputFileName("phylip",variables);
outputNames.push_back(distFileName); outputTypes["phylip"].push_back(distFileName);
ofstream outAve;
m->openOutputFile(distFileName, outAve);
outAve.close();
- distFileName = outputDir + m->getRootName(m->getSimpleName(sharedfile)) + matrixCalculators[i]->getName() + "." + thisLookup[0]->getLabel() + "." + output + ".std.dist";
+ variables["[tag2]"] = "std";
+ distFileName = getOutputFileName("phylip",variables);
outputNames.push_back(distFileName); outputTypes["phylip"].push_back(distFileName);
ofstream outSTD;
m->openOutputFile(distFileName, outSTD);
outSTD.close();
}
- }else {
-
- for (int i = 0; i < calcDists.size(); i++) {
- if (m->control_pressed) { break; }
-
- //initialize matrix
- vector< vector<double> > matrix; //square matrix to represent the distance
- matrix.resize(thisLookup.size());
- for (int k = 0; k < thisLookup.size(); k++) { matrix[k].resize(thisLookup.size(), 0.0); }
-
- for (int j = 0; j < calcDists[i].size(); j++) {
- int row = calcDists[i][j].seq1;
- int column = calcDists[i][j].seq2;
- double dist = calcDists[i][j].dist;
-
- matrix[row][column] = dist;
- matrix[column][row] = dist;
- }
-
- string distFileName = outputDir + m->getRootName(m->getSimpleName(sharedfile)) + matrixCalculators[i]->getName() + "." + thisLookup[0]->getLabel() + "." + output + ".dist";
- outputNames.push_back(distFileName); outputTypes["phylip"].push_back(distFileName);
- ofstream outDist;
- m->openOutputFile(distFileName, outDist);
- outDist.setf(ios::fixed, ios::floatfield); outDist.setf(ios::showpoint);
-
- printSims(outDist, matrix);
-
- outDist.close();
- }
}
return 0;
int MatrixOutputCommand::driver(vector<SharedRAbundVector*> thisLookup, int start, int end, vector< vector<seqDist> >& calcDists) {
try {
vector<SharedRAbundVector*> subset;
+
for (int k = start; k < end; k++) { // pass cdd each set of groups to compare
for (int l = 0; l < k; l++) {
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