#include "unifracunweightedcommand.h"
+//**********************************************************************************************************************
+vector<string> UnifracUnweightedCommand::getValidParameters(){
+ try {
+ string Array[] = {"groups","iters","distance","random", "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;
+ //initialize outputTypes
+ vector<string> tempOutNames;
+ outputTypes["unweighted"] = tempOutNames;
+ outputTypes["uwsummary"] = tempOutNames;
+ outputTypes["phylip"] = 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(string option) {
+UnifracUnweightedCommand::UnifracUnweightedCommand(string option) {
try {
globaldata = GlobalData::getInstance();
abort = false;
Groups.clear();
-
+
//allow user to run help
if(option == "help") { help(); abort = true; }
else {
//valid paramters for this command
- string Array[] = {"groups","iters","distance","random"};
+ string Array[] = {"groups","iters","distance","random", "processors","outputdir","inputdir"};
vector<string> myArray (Array, Array+(sizeof(Array)/sizeof(string)));
OptionParser parser(option);
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;
+
if (globaldata->gTree.size() == 0) {//no trees were read
- mothurOut("You must execute the read.tree command, before you may execute the unifrac.unweighted command."); mothurOutEndLine(); abort = true; }
-
+ 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 {
- splitAtDash(groups, Groups);
+ m->splitAtDash(groups, Groups);
globaldata->Groups = Groups;
}
convert(itersString, iters);
string temp = validParameter.validFile(parameters, "distance", false); if (temp == "not found") { temp = "false"; }
- phylip = isTrue(temp);
+ phylip = m->isTrue(temp);
- temp = validParameter.validFile(parameters, "random", false); if (temp == "not found") { temp = "true"; }
- random = isTrue(temp);
+ temp = validParameter.validFile(parameters, "random", false); if (temp == "not found") { temp = "f"; }
+ random = 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";
- splitAtDash(groups, Groups);
+ m->splitAtDash(groups, Groups);
globaldata->Groups = Groups;
}
if (abort == false) {
T = globaldata->gTree;
tmap = globaldata->gTreemap;
- sumFile = globaldata->getTreeFile() + ".uwsummary";
- openOutputFile(sumFile, outSum);
+ 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
}
catch(exception& e) {
- errorOut(e, "UnifracUnweightedCommand", "UnifracUnweightedCommand");
+ m->errorOut(e, "UnifracUnweightedCommand", "UnifracUnweightedCommand");
exit(1);
}
}
void UnifracUnweightedCommand::help(){
try {
- mothurOut("The unifrac.unweighted command can only be executed after a successful read.tree command.\n");
- mothurOut("The unifrac.unweighted command parameters are groups, iters, distance and random. No parameters are required.\n");
- 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");
- 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");
- mothurOut("The distance parameter allows you to create a distance file from the results. The default is false.\n");
- mothurOut("The random parameter allows you to shut off the comparison to random trees. The default is true, meaning compare your trees with randomly generated trees.\n");
- mothurOut("The unifrac.unweighted command should be in the following format: unifrac.unweighted(groups=yourGroups, iters=yourIters).\n");
- mothurOut("Example unifrac.unweighted(groups=A-B-C, iters=500).\n");
- mothurOut("The default value for groups is all the groups in your groupfile, and iters is 1000.\n");
- mothurOut("The unifrac.unweighted command output two files: .unweighted and .uwsummary their descriptions are in the manual.\n");
- mothurOut("Note: No spaces between parameter labels (i.e. groups), '=' and parameters (i.e.yourGroups).\n\n");
+ 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 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.\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 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) {
- errorOut(e, "UnifracUnweightedCommand", "help");
+ m->errorOut(e, "UnifracUnweightedCommand", "help");
exit(1);
}
}
if (abort == true) { return 0; }
+ int start = time(NULL);
+
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
outSum << "Tree#" << '\t' << "Groups" << '\t' << "UWScore" <<'\t' << "UWSig" << endl;
- mothurOut("Tree#\tGroups\tUWScore\tUWSig"); mothurOutEndLine();
+ m->mothurOut("Tree#\tGroups\tUWScore\tUWSig"); m->mothurOutEndLine();
//get pscores for users trees
for (int i = 0; i < T.size(); i++) {
+ if (m->control_pressed) {
+ outSum.close();
+ for (int i = 0; i < outputNames.size(); i++) { remove(outputNames[i].c_str()); }
+ return 0;
+ }
+
counter = 0;
- if (random) { output = new ColumnFile(globaldata->getTreeFile() + toString(i+1) + ".unweighted", itersString); }
+ 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");
+ }
+
//get unweighted for users tree
rscoreFreq.resize(numComp);
utreeScores.resize(numComp);
UWScoreSig.resize(numComp);
- userData = unweighted->getValues(T[i]); //userData[0] = unweightedscore
+ 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; }
//output scores for each combination
for(int k = 0; k < numComp; k++) {
//add users score to validscores
validScores[userData[k]] = userData[k];
}
-
- //get unweighted scores for random trees
+
+ //get unweighted scores for random trees - if random is false iters = 0
for (int j = 0; j < iters; j++) {
+
//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], "", "");
+ 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; }
for(int k = 0; k < numComp; k++) {
//add trees unweighted score to map of scores
//add randoms score to validscores
validScores[randomData[k]] = randomData[k];
}
+
+ //report progress
+ m->mothurOut("Iter: " + toString(j+1)); m->mothurOutEndLine();
}
-
+
for(int a = 0; a < numComp; a++) {
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 (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
- }
- if (random) { UWScoreSig[a].push_back(rCumul[a][userData[a]]); }
- else { UWScoreSig[a].push_back(0.0); }
+ 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); }
+
}
-
+
+ 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; }
UWScoreSig.clear();
}
- //reset groups parameter
- globaldata->Groups.clear();
+
outSum.close();
+ if (m->control_pressed) { for (int i = 0; i < outputNames.size(); i++) { remove(outputNames[i].c_str()); } return 0; }
+
+ m->mothurOut("It took " + toString(time(NULL) - start) + " secs to run unifrac.unweighted."); m->mothurOutEndLine();
+
+ 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) {
- errorOut(e, "UnifracUnweightedCommand", "execute");
+ m->errorOut(e, "UnifracUnweightedCommand", "execute");
exit(1);
}
}
}
}
catch(exception& e) {
- errorOut(e, "UnifracUnweightedCommand", "printUnweightedFile");
+ m->errorOut(e, "UnifracUnweightedCommand", "printUnweightedFile");
exit(1);
}
}
for(int a = 0; a < numComp; a++) {
outSum << i+1 << '\t';
- mothurOut(toString(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;
- mothurOutJustToLog(groupComb[a] + "\t" + toString(utreeScores[a][0]) + "\t" + toString(UWScoreSig[a][0])); mothurOutEndLine();
+ 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;
- mothurOutJustToLog(groupComb[a] + "\t" + toString(utreeScores[a][0]) + "\t<" + toString((1/float(iters)))); mothurOutEndLine();
+ 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;
- mothurOutJustToLog(groupComb[a] + "\t" + toString(utreeScores[a][0]) + "\t0.00"); mothurOutEndLine();
+ m->mothurOutJustToLog(groupComb[a] + "\t" + toString(utreeScores[a][0]) + "\t0.00\n");
}
}
}
catch(exception& e) {
- errorOut(e, "UnifracUnweightedCommand", "printUWSummaryFile");
+ m->errorOut(e, "UnifracUnweightedCommand", "printUWSummaryFile");
exit(1);
}
}
/***********************************************************/
void UnifracUnweightedCommand::createPhylipFile(int i) {
try {
- string phylipFileName = globaldata->getTreeFile() + toString(i+1) + ".unweighted.dist";
+ string phylipFileName = outputDir + m->getSimpleName(globaldata->getTreeFile()) + toString(i+1) + ".unweighted.dist";
+ outputNames.push_back(phylipFileName); outputTypes["phylip"].push_back(phylipFileName);
+
ofstream out;
- openOutputFile(phylipFileName, out);
+ m->openOutputFile(phylipFileName, out);
//output numSeqs
out << globaldata->Groups.size() << endl;
int count = 0;
for (int r=0; r<globaldata->Groups.size(); r++) {
for (int l = r+1; l < globaldata->Groups.size(); l++) {
- dists[r][l] = (1.0 - utreeScores[count][0]);
- dists[l][r] = (1.0 - utreeScores[count][0]);
+ dists[r][l] = utreeScores[count][0];
+ dists[l][r] = utreeScores[count][0];
count++;
}
}
out.close();
}
catch(exception& e) {
- errorOut(e, "UnifracUnweightedCommand", "createPhylipFile");
+ m->errorOut(e, "UnifracUnweightedCommand", "createPhylipFile");
exit(1);
}
}
projects / mothur.git / blobdiff