#include "unifracunweightedcommand.h"
+//**********************************************************************************************************************
+vector<string> UnifracUnweightedCommand::getValidParameters(){
+ try {
+ string Array[] = {"groups","iters","distance","random","root", "processors","outputdir","inputdir"};
+ vector<string> myArray (Array, Array+(sizeof(Array)/sizeof(string)));
+ return myArray;
+ }
+ catch(exception& e) {
+ m->errorOut(e, "UnifracUnweightedCommand", "getValidParameters");
+ exit(1);
+ }
+}
+//**********************************************************************************************************************
+UnifracUnweightedCommand::UnifracUnweightedCommand(){
+ try {
+ globaldata = GlobalData::getInstance();
+ abort = true; calledHelp = true;
+ vector<string> tempOutNames;
+ outputTypes["unweighted"] = tempOutNames;
+ outputTypes["uwsummary"] = tempOutNames;
+ outputTypes["phylip"] = tempOutNames;
+ outputTypes["column"] = tempOutNames;
+ }
+ catch(exception& e) {
+ m->errorOut(e, "UnifracUnweightedCommand", "UnifracUnweightedCommand");
+ exit(1);
+ }
+}
+//**********************************************************************************************************************
+vector<string> UnifracUnweightedCommand::getRequiredParameters(){
+ try {
+ vector<string> myArray;
+ return myArray;
+ }
+ catch(exception& e) {
+ m->errorOut(e, "UnifracUnweightedCommand", "getRequiredParameters");
+ exit(1);
+ }
+}
+//**********************************************************************************************************************
+vector<string> UnifracUnweightedCommand::getRequiredFiles(){
+ try {
+ string Array[] = {"tree","group"};
+ vector<string> myArray (Array, Array+(sizeof(Array)/sizeof(string)));
+
+ return myArray;
+ }
+ catch(exception& e) {
+ m->errorOut(e, "UnifracUnweightedCommand", "getRequiredFiles");
+ exit(1);
+ }
+}
/***********************************************************/
-UnifracUnweightedCommand::UnifracUnweightedCommand() {
+UnifracUnweightedCommand::UnifracUnweightedCommand(string option) {
try {
globaldata = GlobalData::getInstance();
+ abort = false; calledHelp = false;
+ Groups.clear();
+
+ //allow user to run help
+ if(option == "help") { help(); abort = true; calledHelp = true; }
+
+ else {
+ //valid paramters for this command
+ string Array[] = {"groups","iters","distance","random","root", "processors","outputdir","inputdir"};
+ vector<string> myArray (Array, Array+(sizeof(Array)/sizeof(string)));
+
+ OptionParser parser(option);
+ map<string,string> parameters = parser.getParameters();
+
+ ValidParameters validParameter;
+
+ //check to make sure all parameters are valid for command
+ for (map<string,string>::iterator it = parameters.begin(); it != parameters.end(); it++) {
+ if (validParameter.isValidParameter(it->first, myArray, it->second) != true) { abort = true; }
+ }
+
+ //initialize outputTypes
+ vector<string> tempOutNames;
+ outputTypes["unweighted"] = tempOutNames;
+ outputTypes["uwsummary"] = tempOutNames;
+ outputTypes["phylip"] = tempOutNames;
+ outputTypes["column"] = tempOutNames;
+
+ if (globaldata->gTree.size() == 0) {//no trees were read
+ m->mothurOut("You must execute the read.tree command, before you may execute the unifrac.unweighted command."); m->mothurOutEndLine(); abort = true; }
+
+ //if the user changes the output directory command factory will send this info to us in the output parameter
+ outputDir = validParameter.validFile(parameters, "outputdir", false); if (outputDir == "not found"){
+ outputDir = "";
+ outputDir += m->hasPath(globaldata->inputFileName); //if user entered a file with a path then preserve it
+ }
+
+ //check for optional parameter and set defaults
+ // ...at some point should added some additional type checking...
+ groups = validParameter.validFile(parameters, "groups", false);
+ if (groups == "not found") { groups = ""; }
+ else {
+ m->splitAtDash(groups, Groups);
+ globaldata->Groups = Groups;
+ }
+
+ itersString = validParameter.validFile(parameters, "iters", false); if (itersString == "not found") { itersString = "1000"; }
+ convert(itersString, iters);
+
+ string temp = validParameter.validFile(parameters, "distance", false);
+ if (temp == "not found") { phylip = false; outputForm = ""; }
+ else{
+ if ((temp == "lt") || (temp == "column") || (temp == "square")) { phylip = true; outputForm = temp; }
+ else { m->mothurOut("Options for distance are: lt, square, or column. Using lt."); m->mothurOutEndLine(); phylip = true; outputForm = "lt"; }
+ }
+
+ temp = validParameter.validFile(parameters, "random", false); if (temp == "not found") { temp = "f"; }
+ random = m->isTrue(temp);
+
+ temp = validParameter.validFile(parameters, "root", false); if (temp == "not found") { temp = "F"; }
+ includeRoot = m->isTrue(temp);
+
+ temp = validParameter.validFile(parameters, "processors", false); if (temp == "not found"){ temp = "1"; }
+ convert(temp, processors);
+
+ if (!random) { iters = 0; } //turn off random calcs
+
+ //if user selects distance = true and no groups it won't calc the pairwise
+ if ((phylip) && (Groups.size() == 0)) {
+ groups = "all";
+ m->splitAtDash(groups, Groups);
+ globaldata->Groups = Groups;
+ }
+
+ if (abort == false) {
+ T = globaldata->gTree;
+ tmap = globaldata->gTreemap;
+ sumFile = outputDir + m->getSimpleName(globaldata->getTreeFile()) + ".uwsummary";
+ outputNames.push_back(sumFile); outputTypes["uwsummary"].push_back(sumFile);
+ m->openOutputFile(sumFile, outSum);
+
+ util = new SharedUtil();
+ util->setGroups(globaldata->Groups, tmap->namesOfGroups, allGroups, numGroups, "unweighted"); //sets the groups the user wants to analyze
+ util->getCombos(groupComb, globaldata->Groups, numComp);
+
+ if (numGroups == 1) { numComp++; groupComb.push_back(allGroups); }
+
+ unweighted = new Unweighted(tmap, includeRoot);
+
+ }
+
+ }
- T = globaldata->gTree;
- tmap = globaldata->gTreemap;
- unweightedFile = globaldata->getTreeFile() + ".unweighted";
- openOutputFile(unweightedFile, out);
- sumFile = globaldata->getTreeFile() + ".uwsummary";
- openOutputFile(sumFile, outSum);
- distFile = globaldata->getTreeFile() + ".uwdistrib";
- openOutputFile(distFile, outDist);
- setGroups(); //sets users groups to analyze
- convert(globaldata->getIters(), iters); //how many random trees to generate
- unweighted = new Unweighted(tmap);
-
}
catch(exception& e) {
- cout << "Standard Error: " << e.what() << " has occurred in the UnifracUnweightedCommand class Function UnifracUnweightedCommand. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
+ m->errorOut(e, "UnifracUnweightedCommand", "UnifracUnweightedCommand");
exit(1);
}
- catch(...) {
- cout << "An unknown error has occurred in the UnifracUnweightedCommand class function UnifracUnweightedCommand. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
+}
+
+//**********************************************************************************************************************
+
+void UnifracUnweightedCommand::help(){
+ try {
+ m->mothurOut("The unifrac.unweighted command can only be executed after a successful read.tree command.\n");
+ m->mothurOut("The unifrac.unweighted command parameters are groups, iters, distance, processors, root and random. No parameters are required.\n");
+ m->mothurOut("The groups parameter allows you to specify which of the groups in your groupfile you would like analyzed. You must enter at least 1 valid group.\n");
+ m->mothurOut("The group names are separated by dashes. The iters parameter allows you to specify how many random trees you would like compared to your tree.\n");
+ m->mothurOut("The distance parameter allows you to create a distance file from the results. The default is false. You may set distance to lt, square or column.\n");
+ m->mothurOut("The random parameter allows you to shut off the comparison to random trees. The default is false, meaning compare don't your trees with randomly generated trees.\n");
+ m->mothurOut("The root parameter allows you to include the entire root in your calculations. The default is false, meaning stop at the root for this comparision instead of the root of the entire tree.\n");
+ m->mothurOut("The processors parameter allows you to specify the number of processors to use. The default is 1.\n");
+ m->mothurOut("The unifrac.unweighted command should be in the following format: unifrac.unweighted(groups=yourGroups, iters=yourIters).\n");
+ m->mothurOut("Example unifrac.unweighted(groups=A-B-C, iters=500).\n");
+ m->mothurOut("The default value for groups is all the groups in your groupfile, and iters is 1000.\n");
+ m->mothurOut("The unifrac.unweighted command output two files: .unweighted and .uwsummary their descriptions are in the manual.\n");
+ m->mothurOut("Note: No spaces between parameter labels (i.e. groups), '=' and parameters (i.e.yourGroups).\n\n");
+ }
+ catch(exception& e) {
+ m->errorOut(e, "UnifracUnweightedCommand", "help");
exit(1);
}
}
+
+
/***********************************************************/
int UnifracUnweightedCommand::execute() {
try {
- //get unweighted for users tree
- userData.resize(1,0); //data[0] = unweightedscore
- randomData.resize(1,0); //data[0] = unweightedscore
+ if (abort == true) { if (calledHelp) { return 0; } return 2; }
- //format output
- outDist.setf(ios::fixed, ios::floatfield); outDist.setf(ios::showpoint);
+ int start = time(NULL);
- outDist << "Groups Used ";
- for (int m = 0; m < globaldata->Groups.size(); m++) {
- outDist << globaldata->Groups[m] << " ";
- }
- outDist << endl;
+ userData.resize(numComp,0); //data[0] = unweightedscore
+ randomData.resize(numComp,0); //data[0] = unweightedscore
+ //create new tree with same num nodes and leaves as users
- outDist << "Tree#" << '\t' << "Iter" << '\t' << "UWScore" << endl;
+ if (numComp < processors) { processors = numComp; }
+
+ outSum << "Tree#" << '\t' << "Groups" << '\t' << "UWScore" <<'\t' << "UWSig" << endl;
+ m->mothurOut("Tree#\tGroups\tUWScore\tUWSig"); m->mothurOutEndLine();
- //create new tree with same num nodes and leaves as users
- randT = new Tree();
-
//get pscores for users trees
for (int i = 0; i < T.size(); i++) {
- cout << "Processing tree " << i+1 << endl;
- userData = unweighted->getValues(T[i]); //userData[0] = unweightedscore
+ if (m->control_pressed) {
+ outSum.close();
+ for (int i = 0; i < outputNames.size(); i++) { remove(outputNames[i].c_str()); }
+ return 0;
+ }
- //update uscoreFreq
- it = uscoreFreq.find(userData[0]);
- if (it == uscoreFreq.end()) {//new score
- uscoreFreq[userData[0]] = 1;
- }else{ uscoreFreq[userData[0]]++; }
+ counter = 0;
- //add users score to valid scores
- validScores[userData[0]] = userData[0];
+ if (random) {
+ output = new ColumnFile(outputDir + m->getSimpleName(globaldata->getTreeFile()) + toString(i+1) + ".unweighted", itersString);
+ outputNames.push_back(outputDir + m->getSimpleName(globaldata->getTreeFile()) + toString(i+1) + ".unweighted");
+ outputTypes["unweighted"].push_back(outputDir + m->getSimpleName(globaldata->getTreeFile()) + toString(i+1) + ".unweighted");
+ }
- //saves users score
- utreeScores.push_back(userData[0]);
- //copy T[i]'s info.
- randT->getCopy(T[i]);
+ //get unweighted for users tree
+ rscoreFreq.resize(numComp);
+ rCumul.resize(numComp);
+ utreeScores.resize(numComp);
+ UWScoreSig.resize(numComp);
+
+ userData = unweighted->getValues(T[i], processors, outputDir); //userData[0] = unweightedscore
+
+ if (m->control_pressed) { if (random) { delete output; } outSum.close(); for (int i = 0; i < outputNames.size(); i++) { remove(outputNames[i].c_str()); }return 0; }
- //get unweighted scores for random trees
+ //output scores for each combination
+ for(int k = 0; k < numComp; k++) {
+ //saves users score
+ utreeScores[k].push_back(userData[k]);
+
+ //add users score to validscores
+ validScores[userData[k]] = userData[k];
+ }
+
+ //get unweighted scores for random trees - if random is false iters = 0
for (int j = 0; j < iters; j++) {
- //create a random tree with same topology as T[i], but different labels
- randT->assembleRandomUnifracTree();
- //get pscore of random tree
- randomData = unweighted->getValues(randT);
+
+ //we need a different getValues because when we swap the labels we only want to swap those in each pairwise comparison
+ randomData = unweighted->getValues(T[i], "", "", processors, outputDir);
+
+ if (m->control_pressed) { if (random) { delete output; } outSum.close(); for (int i = 0; i < outputNames.size(); i++) { remove(outputNames[i].c_str()); } return 0; }
- //add trees unweighted score to map of scores
- it2 = rscoreFreq.find(randomData[0]);
- if (it2 != rscoreFreq.end()) {//already have that score
- rscoreFreq[randomData[0]]++;
- }else{//first time we have seen this score
- rscoreFreq[randomData[0]] = 1;
- }
+ for(int k = 0; k < numComp; k++) {
+ //add trees unweighted score to map of scores
+ map<float,float>::iterator it = rscoreFreq[k].find(randomData[k]);
+ if (it != rscoreFreq[k].end()) {//already have that score
+ rscoreFreq[k][randomData[k]]++;
+ }else{//first time we have seen this score
+ rscoreFreq[k][randomData[k]] = 1;
+ }
- //add randoms score to validscores
- validScores[randomData[0]] = randomData[0];
+ //add randoms score to validscores
+ validScores[randomData[k]] = randomData[k];
+ }
- //output info to uwdistrib file
- outDist << i+1 << '\t' << '\t'<< j+1 << '\t' << '\t' << randomData[0] << endl;
+ //report progress
+// m->mothurOut("Iter: " + toString(j+1)); m->mothurOutEndLine();
}
-
- saveRandomScores(); //save all random scores for unweighted file
-
- //find the signifigance of the score
- float rcumul = 1.0000;
- for (it = rscoreFreq.begin(); it != rscoreFreq.end(); it++) {
- rCumul[it->first] = rcumul;
- //get percentage of random trees with that info
- rscoreFreq[it->first] /= iters;
- rcumul-= it->second;
+
+ for(int a = 0; a < numComp; a++) {
+ float rcumul = 1.0000;
+ if (random) {
+ //this loop fills the cumulative maps and put 0.0000 in the score freq map to make it easier to print.
+ for (map<float,float>::iterator it = validScores.begin(); it != validScores.end(); it++) {
+ //make rscoreFreq map and rCumul
+ map<float,float>::iterator it2 = rscoreFreq[a].find(it->first);
+ rCumul[a][it->first] = rcumul;
+ //get percentage of random trees with that info
+ if (it2 != rscoreFreq[a].end()) { rscoreFreq[a][it->first] /= iters; rcumul-= it2->second; }
+ else { rscoreFreq[a][it->first] = 0.0000; } //no random trees with that score
+ }
+ UWScoreSig[a].push_back(rCumul[a][userData[a]]);
+ }else { UWScoreSig[a].push_back(0.0); }
+
}
- //save the signifigance of the users score for printing later
- UWScoreSig.push_back(rCumul[userData[0]]);
+ if (m->control_pressed) { if (random) { delete output; } outSum.close(); for (int i = 0; i < outputNames.size(); i++) { remove(outputNames[i].c_str()); } return 0; }
+ //print output files
+ printUWSummaryFile(i);
+ if (random) { printUnweightedFile(); delete output; }
+ if (phylip) { createPhylipFile(i); }
- //clear random data
- rscoreFreq.clear(); //you clear this because in the summary file you want the unweighted signifinance to be relative to these 1000 trees.
- rCumul.clear();
+ rscoreFreq.clear();
+ rCumul.clear();
+ validScores.clear();
+ utreeScores.clear();
+ UWScoreSig.clear();
}
- float ucumul = 1.0000;
- float rcumul = 1.0000;
- //this loop fills the cumulative maps and put 0.0000 in the score freq map to make it easier to print.
- for (it = validScores.begin(); it != validScores.end(); it++) {
- it2 = uscoreFreq.find(it->first);
- //make uCumul map
- uCumul[it->first] = ucumul;
- //user data has that score
- if (it2 != uscoreFreq.end()) { uscoreFreq[it->first] /= T.size(); ucumul-= it2->second; }
- else { uscoreFreq[it->first] = 0.0000; } //no user trees with that score
-
- //make rscoreFreq map and rCumul
- it2 = totalrscoreFreq.find(it->first);
- rCumul[it->first] = rcumul;
- //get percentage of random trees with that info
- if (it2 != totalrscoreFreq.end()) { totalrscoreFreq[it->first] /= (iters*T.size()); rcumul-= it2->second; }
- else { totalrscoreFreq[it->first] = 0.0000; } //no random trees with that score
-
- }
+
+ outSum.close();
- printUnweightedFile();
- printUWSummaryFile();
+ if (m->control_pressed) { for (int i = 0; i < outputNames.size(); i++) { remove(outputNames[i].c_str()); } return 0; }
- //reset groups parameter
- globaldata->Groups.clear();
+ m->mothurOut("It took " + toString(time(NULL) - start) + " secs to run unifrac.unweighted."); m->mothurOutEndLine();
- delete randT;
+ m->mothurOutEndLine();
+ m->mothurOut("Output File Names: "); m->mothurOutEndLine();
+ for (int i = 0; i < outputNames.size(); i++) { m->mothurOut(outputNames[i]); m->mothurOutEndLine(); }
+ m->mothurOutEndLine();
return 0;
}
catch(exception& e) {
- cout << "Standard Error: " << e.what() << " has occurred in the UnifracUnweightedCommand class Function execute. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
- exit(1);
- }
- catch(...) {
- cout << "An unknown error has occurred in the UnifracUnweightedCommand class function execute. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
+ m->errorOut(e, "UnifracUnweightedCommand", "execute");
exit(1);
}
}
/***********************************************************/
void UnifracUnweightedCommand::printUnweightedFile() {
try {
- //column headers
+ vector<double> data;
+ vector<string> tags;
- out << "Groups Used ";
- for (int m = 0; m < globaldata->Groups.size(); m++) {
- out << globaldata->Groups[m] << " ";
+ tags.push_back("Score");
+ tags.push_back("RandFreq"); tags.push_back("RandCumul");
+
+ for(int a = 0; a < numComp; a++) {
+ output->initFile(groupComb[a], tags);
+ //print each line
+ for (map<float,float>::iterator it = validScores.begin(); it != validScores.end(); it++) {
+ data.push_back(it->first); data.push_back(rscoreFreq[a][it->first]); data.push_back(rCumul[a][it->first]);
+ output->output(data);
+ data.clear();
+ }
+ output->resetFile();
}
- out << endl;
-
- out << "Score" << '\t' << "UserFreq" << '\t' << "UserCumul" << '\t' << "RandFreq" << '\t' << "RandCumul" << endl;
-
- //format output
- out.setf(ios::fixed, ios::floatfield); out.setf(ios::showpoint);
-
- //print each line
- for (it = validScores.begin(); it != validScores.end(); it++) {
- out << setprecision(6) << it->first << '\t' << '\t' << uscoreFreq[it->first] << '\t' << uCumul[it->first] << '\t' << totalrscoreFreq[it->first] << '\t' << rCumul[it->first] << endl;
- }
-
- out.close();
-
}
catch(exception& e) {
- cout << "Standard Error: " << e.what() << " has occurred in the UnifracUnweightedCommand class Function printUnweightedFile. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
- exit(1);
- }
- catch(...) {
- cout << "An unknown error has occurred in the UnifracUnweightedCommand class function printUnweightedFile. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
+ m->errorOut(e, "UnifracUnweightedCommand", "printUnweightedFile");
exit(1);
}
}
/***********************************************************/
-void UnifracUnweightedCommand::printUWSummaryFile() {
+void UnifracUnweightedCommand::printUWSummaryFile(int i) {
try {
- //column headers
-
- outSum << "Groups Used ";
- for (int m = 0; m < globaldata->Groups.size(); m++) {
- outSum << globaldata->Groups[m] << " ";
- }
- outSum << endl;
-
- outSum << "Tree#" << '\t' << "UWScore" << '\t' << '\t' << "UWSig" << endl;
-
+
//format output
outSum.setf(ios::fixed, ios::floatfield); outSum.setf(ios::showpoint);
-
+
//print each line
- for (int i = 0; i< T.size(); i++) {
- outSum << setprecision(6) << i+1 << '\t' << '\t' << utreeScores[i] << '\t' << UWScoreSig[i] << endl;
+
+ for(int a = 0; a < numComp; a++) {
+ outSum << i+1 << '\t';
+ m->mothurOut(toString(i+1) + "\t");
+
+ if (random) {
+ if (UWScoreSig[a][0] > (1/(float)iters)) {
+ outSum << setprecision(6) << groupComb[a] << '\t' << utreeScores[a][0] << '\t' << setprecision(itersString.length()) << UWScoreSig[a][0] << endl;
+ cout << setprecision(6) << groupComb[a] << '\t' << utreeScores[a][0] << '\t' << setprecision(itersString.length()) << UWScoreSig[a][0] << endl;
+ m->mothurOutJustToLog(groupComb[a] + "\t" + toString(utreeScores[a][0]) + "\t" + toString(UWScoreSig[a][0])+ "\n");
+ }else {
+ outSum << setprecision(6) << groupComb[a] << '\t' << utreeScores[a][0] << '\t' << setprecision(itersString.length()) << "<" << (1/float(iters)) << endl;
+ cout << setprecision(6) << groupComb[a] << '\t' << utreeScores[a][0] << '\t' << setprecision(itersString.length()) << "<" << (1/float(iters)) << endl;
+ m->mothurOutJustToLog(groupComb[a] + "\t" + toString(utreeScores[a][0]) + "\t<" + toString((1/float(iters))) + "\n");
+ }
+ }else{
+ outSum << setprecision(6) << groupComb[a] << '\t' << utreeScores[a][0] << '\t' << "0.00" << endl;
+ cout << setprecision(6) << groupComb[a] << '\t' << utreeScores[a][0] << '\t' << "0.00" << endl;
+ m->mothurOutJustToLog(groupComb[a] + "\t" + toString(utreeScores[a][0]) + "\t0.00\n");
+ }
}
- outSum.close();
}
catch(exception& e) {
- cout << "Standard Error: " << e.what() << " has occurred in the UnifracUnweightedCommand class Function printUWSummaryFile. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
- exit(1);
- }
- catch(...) {
- cout << "An unknown error has occurred in the UnifracUnweightedCommand class function printUWSummaryFile. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
+ m->errorOut(e, "UnifracUnweightedCommand", "printUWSummaryFile");
exit(1);
}
}
/***********************************************************/
-void UnifracUnweightedCommand::saveRandomScores() {
+void UnifracUnweightedCommand::createPhylipFile(int i) {
try {
- for (it = rscoreFreq.begin(); it != rscoreFreq.end(); it++) {
- //does this score already exist in the total map
- it2 = totalrscoreFreq.find(it->first);
- //if yes then add them
- if (it2 != totalrscoreFreq.end()) {
- totalrscoreFreq[it->first] += rscoreFreq[it->first];
- }else{ //its a new score
- totalrscoreFreq[it->first] = rscoreFreq[it->first];
+ string phylipFileName;
+ if ((outputForm == "lt") || (outputForm == "square")) {
+ phylipFileName = outputDir + m->getSimpleName(globaldata->getTreeFile()) + toString(i+1) + ".unweighted.phylip.dist";
+ outputNames.push_back(phylipFileName); outputTypes["phylip"].push_back(phylipFileName);
+ }else { //column
+ phylipFileName = outputDir + m->getSimpleName(globaldata->getTreeFile()) + toString(i+1) + ".unweighted.column.dist";
+ outputNames.push_back(phylipFileName); outputTypes["column"].push_back(phylipFileName);
+ }
+
+ ofstream out;
+ m->openOutputFile(phylipFileName, out);
+
+ if ((outputForm == "lt") || (outputForm == "square")) {
+ //output numSeqs
+ out << globaldata->Groups.size() << endl;
+ }
+
+ //make matrix with scores in it
+ vector< vector<float> > dists; dists.resize(globaldata->Groups.size());
+ for (int i = 0; i < globaldata->Groups.size(); i++) {
+ dists[i].resize(globaldata->Groups.size(), 0.0);
+ }
+
+ //flip it so you can print it
+ int count = 0;
+ for (int r=0; r<globaldata->Groups.size(); r++) {
+ for (int l = 0; l < r; l++) {
+ dists[r][l] = utreeScores[count][0];
+ dists[l][r] = utreeScores[count][0];
+ count++;
}
}
- }
- catch(exception& e) {
- cout << "Standard Error: " << e.what() << " has occurred in the UnifracUnweightedCommand class Function saveRandomScores. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
- exit(1);
- }
- catch(...) {
- cout << "An unknown error has occurred in the UnifracUnweightedCommand class function saveRandomScores. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
- exit(1);
- }
-}
-
-/***********************************************************/
-
-void UnifracUnweightedCommand::setGroups() {
- try {
- //if the user has not entered specific groups to analyze then do them all
- if (globaldata->Groups.size() != 0) {
- //check that groups are valid
- for (int i = 0; i < globaldata->Groups.size(); i++) {
- if (tmap->isValidGroup(globaldata->Groups[i]) != true) {
- cout << globaldata->Groups[i] << " is not a valid group, and will be disregarded." << endl;
- // erase the invalid group from globaldata->Groups
- globaldata->Groups.erase (globaldata->Groups.begin()+i);
- }
+
+ //output to file
+ for (int r=0; r<globaldata->Groups.size(); r++) {
+ //output name
+ string name = globaldata->Groups[r];
+ if (name.length() < 10) { //pad with spaces to make compatible
+ while (name.length() < 10) { name += " "; }
}
- //if the user only entered invalid groups
- if (globaldata->Groups.size() == 0) {
- cout << "When using the groups parameter you must have at least 1 valid group. I will run the command using all the groups in your groupfile." << endl;
- for (int i = 0; i < tmap->namesOfGroups.size(); i++) {
- globaldata->Groups.push_back(tmap->namesOfGroups[i]);
- }
- }
+ if (outputForm == "lt") {
+ out << name << '\t';
+
+ //output distances
+ for (int l = 0; l < r; l++) { out << dists[r][l] << '\t'; }
+ out << endl;
+ }else if (outputForm == "square") {
+ out << name << '\t';
+
+ //output distances
+ for (int l = 0; l < globaldata->Groups.size(); l++) { out << dists[r][l] << '\t'; }
+ out << endl;
+ }else{
+ //output distances
+ for (int l = 0; l < r; l++) {
+ string otherName = globaldata->Groups[l];
+ if (otherName.length() < 10) { //pad with spaces to make compatible
+ while (otherName.length() < 10) { otherName += " "; }
+ }
- }else {
- for (int i = 0; i < tmap->namesOfGroups.size(); i++) {
- globaldata->Groups.push_back(tmap->namesOfGroups[i]);
+ out << name << '\t' << otherName << dists[r][l] << endl;
+ }
}
}
+ out.close();
}
catch(exception& e) {
- cout << "Standard Error: " << e.what() << " has occurred in the UnifracUnweightedCommand class Function setGroups. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
+ m->errorOut(e, "UnifracUnweightedCommand", "createPhylipFile");
exit(1);
}
- catch(...) {
- cout << "An unknown error has occurred in the UnifracUnweightedCommand class function setGroups. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
- exit(1);
- }
-
}
-/*****************************************************************/
+/***********************************************************/
+
+
projects / mothur.git / blobdiff