matrixoutputcommand.cpp

   1 /*
   2  *  matrixoutputcommand.cpp
   3  *  Mothur
   4  *
   5  *  Created by Sarah Westcott on 5/20/09.
   6  *  Copyright 2009 Schloss Lab UMASS Amherst. All rights reserved.
   7  *
   8  */
   9
  10 #include "matrixoutputcommand.h"
  11 #include "subsample.h"
  12
  13 //**********************************************************************************************************************
  14 vector<string> MatrixOutputCommand::setParameters(){
  15         try {
  16                 CommandParameter pshared("shared", "InputTypes", "", "", "none", "none", "none","phylip",false,true,true); parameters.push_back(pshared);
  17                 CommandParameter plabel("label", "String", "", "", "", "", "","",false,false); parameters.push_back(plabel);
  18         CommandParameter psubsample("subsample", "String", "", "", "", "", "","",false,false); parameters.push_back(psubsample);
  19                 CommandParameter pgroups("groups", "String", "", "", "", "", "","",false,false); parameters.push_back(pgroups);
  20                 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-jsd", "jclass-thetayc", "", "", "","",true,false,true); parameters.push_back(pcalc);
  21                 CommandParameter poutput("output", "Multiple", "lt-square-column", "lt", "", "", "","",false,false); parameters.push_back(poutput);
  22         CommandParameter pmode("mode", "Multiple", "average-median", "average", "", "", "","",false,false); parameters.push_back(pmode);
  23                 CommandParameter pprocessors("processors", "Number", "", "1", "", "", "","",false,false,true); parameters.push_back(pprocessors);
  24         CommandParameter piters("iters", "Number", "", "1000", "", "", "","",false,false); parameters.push_back(piters);
  25         CommandParameter pinputdir("inputdir", "String", "", "", "", "", "","",false,false); parameters.push_back(pinputdir);
  26                 CommandParameter poutputdir("outputdir", "String", "", "", "", "", "","",false,false); parameters.push_back(poutputdir);
  27
  28                 vector<string> myArray;
  29                 for (int i = 0; i < parameters.size(); i++) {   myArray.push_back(parameters[i].name);          }
  30                 return myArray;
  31         }
  32         catch(exception& e) {
  33                 m->errorOut(e, "MatrixOutputCommand", "setParameters");
  34                 exit(1);
  35         }
  36 }
  37 //**********************************************************************************************************************
  38 string MatrixOutputCommand::getHelpString(){
  39         try {
  40                 string helpString = "";
  41                 ValidCalculators validCalculator;
  42                 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";
  43                 helpString += "The groups parameter allows you to specify which of the groups in your groupfile you would like included used.\n";
  44                 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";
  45         helpString += "The iters parameter allows you to choose the number of times you would like to run the subsample.\n";
  46         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";
  47                 helpString += "The dist.shared command should be in the following format: dist.shared(groups=yourGroups, calc=yourCalcs, label=yourLabels).\n";
  48                 helpString += "The output parameter allows you to specify format of your distance matrix. Options are lt, column and square. The default is lt.\n";
  49         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";
  50                 helpString += "Example dist.shared(groups=A-B-C, calc=jabund-sorabund).\n";
  51                 helpString += "The default value for groups is all the groups in your groupfile.\n";
  52                 helpString += "The default value for calc is jclass and thetayc.\n";
  53                 helpString += validCalculator.printCalc("matrix");
  54                 helpString += "The dist.shared command outputs a .dist file for each calculator you specify at each distance you choose.\n";
  55                 helpString += "Note: No spaces between parameter labels (i.e. groups), '=' and parameters (i.e.yourGroups).\n";
  56                 return helpString;
  57         }
  58         catch(exception& e) {
  59                 m->errorOut(e, "MatrixOutputCommand", "getHelpString");
  60                 exit(1);
  61         }
  62 }
  63 //**********************************************************************************************************************
  64 string MatrixOutputCommand::getOutputPattern(string type) {
  65     try {
  66         string pattern = "";
  67
  68         if (type == "phylip") {  pattern = "[filename],[calc],[distance],[outputtag],dist-[filename],[calc],[distance],[outputtag],[tag2],dist"; }
  69         else { m->mothurOut("[ERROR]: No definition for type " + type + " output pattern.\n"); m->control_pressed = true;  }
  70
  71         return pattern;
  72     }
  73     catch(exception& e) {
  74         m->errorOut(e, "MatrixOutputCommand", "getOutputPattern");
  75         exit(1);
  76     }
  77 }
  78 //**********************************************************************************************************************
  79 MatrixOutputCommand::MatrixOutputCommand(){
  80         try {
  81                 abort = true; calledHelp = true;
  82                 setParameters();
  83                 vector<string> tempOutNames;
  84                 outputTypes["phylip"] = tempOutNames;
  85         }
  86         catch(exception& e) {
  87                 m->errorOut(e, "MatrixOutputCommand", "MatrixOutputCommand");
  88                 exit(1);
  89         }
  90 }
  91 //**********************************************************************************************************************
  92
  93 MatrixOutputCommand::MatrixOutputCommand(string option)  {
  94         try {
  95                 abort = false; calledHelp = false;
  96                 allLines = 1;
  97
  98                 //allow user to run help
  99                 if(option == "help") {  help(); abort = true; calledHelp = true; }
 100                 else if(option == "citation") { citation(); abort = true; calledHelp = true;}
 101
 102                 else {
 103                         vector<string> myArray = setParameters();
 104
 105                         OptionParser parser(option);
 106                         map<string,string> parameters  = parser.getParameters();
 107                         map<string,string>::iterator it;
 108
 109                         ValidParameters validParameter;
 110
 111                         //check to make sure all parameters are valid for command
 112                         for (it = parameters.begin(); it != parameters.end(); it++) {
 113                                 if (validParameter.isValidParameter(it->first, myArray, it->second) != true) {  abort = true;  }
 114                         }
 115
 116                         //initialize outputTypes
 117                         vector<string> tempOutNames;
 118                         outputTypes["phylip"] = tempOutNames;
 119
 120                         //if the user changes the input directory command factory will send this info to us in the output parameter
 121                         string inputDir = validParameter.validFile(parameters, "inputdir", false);
 122                         if (inputDir == "not found"){   inputDir = "";          }
 123                         else {
 124                                 string path;
 125                                 it = parameters.find("shared");
 126                                 //user has given a template file
 127                                 if(it != parameters.end()){
 128                                         path = m->hasPath(it->second);
 129                                         //if the user has not given a path then, add inputdir. else leave path alone.
 130                                         if (path == "") {       parameters["shared"] = inputDir + it->second;           }
 131                                 }
 132                         }
 133
 134                         sharedfile = validParameter.validFile(parameters, "shared", true);
 135                         if (sharedfile == "not found") {
 136                                 //if there is a current shared file, use it
 137                                 sharedfile = m->getSharedFile();
 138                                 if (sharedfile != "") { m->mothurOut("Using " + sharedfile + " as input file for the shared parameter."); m->mothurOutEndLine(); }
 139                                 else {  m->mothurOut("You have no current sharedfile and the shared parameter is required."); m->mothurOutEndLine(); abort = true; }
 140                         }else if (sharedfile == "not open") { sharedfile = ""; abort = true; }
 141                         else { m->setSharedFile(sharedfile); }
 142
 143                         //if the user changes the output directory command factory will send this info to us in the output parameter
 144                         outputDir = validParameter.validFile(parameters, "outputdir", false);           if (outputDir == "not found"){
 145                                 outputDir = "";
 146                                 outputDir += m->hasPath(sharedfile); //if user entered a file with a path then preserve it
 147                         }
 148
 149                         //check for optional parameter and set defaults
 150                         // ...at some point should added some additional type checking...
 151                         label = validParameter.validFile(parameters, "label", false);
 152                         if (label == "not found") { label = ""; }
 153                         else {
 154                                 if(label != "all") {  m->splitAtDash(label, labels);  allLines = 0;  }
 155                                 else { allLines = 1;  }
 156                         }
 157
 158                         output = validParameter.validFile(parameters, "output", false);         if(output == "not found"){      output = "lt"; }
 159                         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"; }
 160
 161             mode = validParameter.validFile(parameters, "mode", false);         if(mode == "not found"){        mode = "average"; }
 162                         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"; }
 163
 164                         groups = validParameter.validFile(parameters, "groups", false);
 165                         if (groups == "not found") { groups = ""; }
 166                         else {
 167                                 m->splitAtDash(groups, Groups);
 168                                 m->setGroups(Groups);
 169                         }
 170
 171                         string temp = validParameter.validFile(parameters, "processors", false);        if (temp == "not found"){       temp = m->getProcessors();      }
 172                         m->setProcessors(temp);
 173                         m->mothurConvert(temp, processors);
 174
 175                         calc = validParameter.validFile(parameters, "calc", false);
 176                         if (calc == "not found") { calc = "jclass-thetayc";  }
 177                         else {
 178                                  if (calc == "default")  {  calc = "jclass-thetayc";  }
 179                         }
 180                         m->splitAtDash(calc, Estimators);
 181                         if (m->inUsersGroups("citation", Estimators)) {
 182                                 ValidCalculators validCalc; validCalc.printCitations(Estimators);
 183                                 //remove citation from list of calcs
 184                                 for (int i = 0; i < Estimators.size(); i++) { if (Estimators[i] == "citation") {  Estimators.erase(Estimators.begin()+i); break; } }
 185                         }
 186
 187             temp = validParameter.validFile(parameters, "iters", false);                        if (temp == "not found") { temp = "1000"; }
 188                         m->mothurConvert(temp, iters);
 189
 190             temp = validParameter.validFile(parameters, "subsample", false);            if (temp == "not found") { temp = "F"; }
 191                         if (m->isNumeric1(temp)) { m->mothurConvert(temp, subsampleSize); subsample = true; }
 192             else {
 193                 if (m->isTrue(temp)) { subsample = true; subsampleSize = -1; }  //we will set it to smallest group later
 194                 else { subsample = false; }
 195             }
 196
 197             if (subsample == false) { iters = 0; }
 198
 199                         if (abort == false) {
 200
 201                                 ValidCalculators validCalculator;
 202
 203                                 int i;
 204                                 for (i=0; i<Estimators.size(); i++) {
 205                                         if (validCalculator.isValidCalculator("matrix", Estimators[i]) == true) {
 206                                                 if (Estimators[i] == "sharedsobs") {
 207                                                         matrixCalculators.push_back(new SharedSobsCS());
 208                                                 }else if (Estimators[i] == "sharedchao") {
 209                                                         matrixCalculators.push_back(new SharedChao1());
 210                                                 }else if (Estimators[i] == "sharedace") {
 211                                                         matrixCalculators.push_back(new SharedAce());
 212                                                 }else if (Estimators[i] == "jabund") {
 213                                                         matrixCalculators.push_back(new JAbund());
 214                                                 }else if (Estimators[i] == "sorabund") {
 215                                                         matrixCalculators.push_back(new SorAbund());
 216                                                 }else if (Estimators[i] == "jclass") {
 217                                                         matrixCalculators.push_back(new Jclass());
 218                                                 }else if (Estimators[i] == "sorclass") {
 219                                                         matrixCalculators.push_back(new SorClass());
 220                                                 }else if (Estimators[i] == "jest") {
 221                                                         matrixCalculators.push_back(new Jest());
 222                                                 }else if (Estimators[i] == "sorest") {
 223                                                         matrixCalculators.push_back(new SorEst());
 224                                                 }else if (Estimators[i] == "thetayc") {
 225                                                         matrixCalculators.push_back(new ThetaYC());
 226                                                 }else if (Estimators[i] == "thetan") {
 227                                                         matrixCalculators.push_back(new ThetaN());
 228                                                 }else if (Estimators[i] == "kstest") {
 229                                                         matrixCalculators.push_back(new KSTest());
 230                                                 }else if (Estimators[i] == "sharednseqs") {
 231                                                         matrixCalculators.push_back(new SharedNSeqs());
 232                                                 }else if (Estimators[i] == "ochiai") {
 233                                                         matrixCalculators.push_back(new Ochiai());
 234                                                 }else if (Estimators[i] == "anderberg") {
 235                                                         matrixCalculators.push_back(new Anderberg());
 236                                                 }else if (Estimators[i] == "kulczynski") {
 237                                                         matrixCalculators.push_back(new Kulczynski());
 238                                                 }else if (Estimators[i] == "kulczynskicody") {
 239                                                         matrixCalculators.push_back(new KulczynskiCody());
 240                                                 }else if (Estimators[i] == "lennon") {
 241                                                         matrixCalculators.push_back(new Lennon());
 242                                                 }else if (Estimators[i] == "morisitahorn") {
 243                                                         matrixCalculators.push_back(new MorHorn());
 244                                                 }else if (Estimators[i] == "braycurtis") {
 245                                                         matrixCalculators.push_back(new BrayCurtis());
 246                                                 }else if (Estimators[i] == "whittaker") {
 247                                                         matrixCalculators.push_back(new Whittaker());
 248                                                 }else if (Estimators[i] == "odum") {
 249                                                         matrixCalculators.push_back(new Odum());
 250                                                 }else if (Estimators[i] == "canberra") {
 251                                                         matrixCalculators.push_back(new Canberra());
 252                                                 }else if (Estimators[i] == "structeuclidean") {
 253                                                         matrixCalculators.push_back(new StructEuclidean());
 254                                                 }else if (Estimators[i] == "structchord") {
 255                                                         matrixCalculators.push_back(new StructChord());
 256                                                 }else if (Estimators[i] == "hellinger") {
 257                                                         matrixCalculators.push_back(new Hellinger());
 258                                                 }else if (Estimators[i] == "manhattan") {
 259                                                         matrixCalculators.push_back(new Manhattan());
 260                                                 }else if (Estimators[i] == "structpearson") {
 261                                                         matrixCalculators.push_back(new StructPearson());
 262                                                 }else if (Estimators[i] == "soergel") {
 263                                                         matrixCalculators.push_back(new Soergel());
 264                                                 }else if (Estimators[i] == "spearman") {
 265                                                         matrixCalculators.push_back(new Spearman());
 266                                                 }else if (Estimators[i] == "structkulczynski") {
 267                                                         matrixCalculators.push_back(new StructKulczynski());
 268                                                 }else if (Estimators[i] == "speciesprofile") {
 269                                                         matrixCalculators.push_back(new SpeciesProfile());
 270                                                 }else if (Estimators[i] == "hamming") {
 271                                                         matrixCalculators.push_back(new Hamming());
 272                                                 }else if (Estimators[i] == "structchi2") {
 273                                                         matrixCalculators.push_back(new StructChi2());
 274                                                 }else if (Estimators[i] == "gower") {
 275                                                         matrixCalculators.push_back(new Gower());
 276                                                 }else if (Estimators[i] == "memchi2") {
 277                                                         matrixCalculators.push_back(new MemChi2());
 278                                                 }else if (Estimators[i] == "memchord") {
 279                                                         matrixCalculators.push_back(new MemChord());
 280                                                 }else if (Estimators[i] == "memeuclidean") {
 281                                                         matrixCalculators.push_back(new MemEuclidean());
 282                                                 }else if (Estimators[i] == "mempearson") {
 283                                                         matrixCalculators.push_back(new MemPearson());
 284                         }else if (Estimators[i] == "jsd") {
 285                                 matrixCalculators.push_back(new JSD());
 286
 287                                                 }
 288                                         }
 289                                 }
 290
 291                         }
 292                 }
 293
 294         }
 295         catch(exception& e) {
 296                 m->errorOut(e, "MatrixOutputCommand", "MatrixOutputCommand");
 297                 exit(1);
 298         }
 299 }
 300
 301 //**********************************************************************************************************************
 302
 303 MatrixOutputCommand::~MatrixOutputCommand(){}
 304
 305 //**********************************************************************************************************************
 306
 307 int MatrixOutputCommand::execute(){
 308         try {
 309
 310                 if (abort == true) { if (calledHelp) { return 0; }  return 2;   }
 311
 312                 //if the users entered no valid calculators don't execute command
 313                 if (matrixCalculators.size() == 0) { m->mothurOut("No valid calculators."); m->mothurOutEndLine();  return 0; }
 314
 315                 input = new InputData(sharedfile, "sharedfile");
 316                 lookup = input->getSharedRAbundVectors();
 317                 string lastLabel = lookup[0]->getLabel();
 318
 319                 //if the users enters label "0.06" and there is no "0.06" in their file use the next lowest label.
 320                 set<string> processedLabels;
 321                 set<string> userLabels = labels;
 322
 323                 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;}
 324
 325         if (subsample) {
 326             if (subsampleSize == -1) { //user has not set size, set size = smallest samples size
 327                 subsampleSize = lookup[0]->getNumSeqs();
 328                 for (int i = 1; i < lookup.size(); i++) {
 329                     int thisSize = lookup[i]->getNumSeqs();
 330
 331                     if (thisSize < subsampleSize) {     subsampleSize = thisSize;       }
 332                 }
 333             }else {
 334                 m->clearGroups();
 335                 Groups.clear();
 336                 vector<SharedRAbundVector*> temp;
 337                 for (int i = 0; i < lookup.size(); i++) {
 338                     if (lookup[i]->getNumSeqs() < subsampleSize) {
 339                         m->mothurOut(lookup[i]->getGroup() + " contains " + toString(lookup[i]->getNumSeqs()) + ". Eliminating."); m->mothurOutEndLine();
 340                         delete lookup[i];
 341                     }else {
 342                         Groups.push_back(lookup[i]->getGroup());
 343                         temp.push_back(lookup[i]);
 344                     }
 345                 }
 346                 lookup = temp;
 347                 m->setGroups(Groups);
 348             }
 349
 350             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; }
 351         }
 352
 353                 numGroups = lookup.size();
 354         lines.resize(processors);
 355                 for (int i = 0; i < processors; i++) {
 356                         lines[i].start = int (sqrt(float(i)/float(processors)) * numGroups);
 357                         lines[i].end = int (sqrt(float(i+1)/float(processors)) * numGroups);
 358                 }
 359
 360                 if (m->control_pressed) { delete input; for (int i = 0; i < lookup.size(); i++) {  delete lookup[i];  } m->clearGroups(); return 0;  }
 361
 362                 //as long as you are not at the end of the file or done wih the lines you want
 363                 while((lookup[0] != NULL) && ((allLines == 1) || (userLabels.size() != 0))) {
 364
 365                         if (m->control_pressed) { outputTypes.clear(); delete input; for (int i = 0; i < lookup.size(); i++) {  delete lookup[i];  } for (int i = 0; i < outputNames.size(); i++) {     m->mothurRemove(outputNames[i]); } m->clearGroups(); return 0;  }
 366
 367                         if(allLines == 1 || labels.count(lookup[0]->getLabel()) == 1){
 368                                 m->mothurOut(lookup[0]->getLabel()); m->mothurOutEndLine();
 369                                 process(lookup);
 370
 371                                 processedLabels.insert(lookup[0]->getLabel());
 372                                 userLabels.erase(lookup[0]->getLabel());
 373                         }
 374
 375                         if ((m->anyLabelsToProcess(lookup[0]->getLabel(), userLabels, "") == true) && (processedLabels.count(lastLabel) != 1)) {
 376                                 string saveLabel = lookup[0]->getLabel();
 377
 378                                 for (int i = 0; i < lookup.size(); i++) {  delete lookup[i];  }
 379                                 lookup = input->getSharedRAbundVectors(lastLabel);
 380
 381                                 m->mothurOut(lookup[0]->getLabel()); m->mothurOutEndLine();
 382                                 process(lookup);
 383
 384                                 processedLabels.insert(lookup[0]->getLabel());
 385                                 userLabels.erase(lookup[0]->getLabel());
 386
 387                                 //restore real lastlabel to save below
 388                                 lookup[0]->setLabel(saveLabel);
 389                         }
 390
 391                         lastLabel = lookup[0]->getLabel();
 392
 393                         //get next line to process
 394                         for (int i = 0; i < lookup.size(); i++) {  delete lookup[i];  }
 395                         lookup = input->getSharedRAbundVectors();
 396                 }
 397
 398                 if (m->control_pressed) { outputTypes.clear(); delete input; for (int i = 0; i < outputNames.size(); i++) {     m->mothurRemove(outputNames[i]); } m->clearGroups(); return 0;  }
 399
 400                 //output error messages about any remaining user labels
 401                 set<string>::iterator it;
 402                 bool needToRun = false;
 403                 for (it = userLabels.begin(); it != userLabels.end(); it++) {
 404                         m->mothurOut("Your file does not include the label " + *it);
 405                         if (processedLabels.count(lastLabel) != 1) {
 406                                 m->mothurOut(". I will use " + lastLabel + "."); m->mothurOutEndLine();
 407                                 needToRun = true;
 408                         }else {
 409                                 m->mothurOut(". Please refer to " + lastLabel + "."); m->mothurOutEndLine();
 410                         }
 411                 }
 412
 413                 if (m->control_pressed) { outputTypes.clear(); delete input;  for (int i = 0; i < outputNames.size(); i++) {    m->mothurRemove(outputNames[i]); } m->clearGroups(); return 0;  }
 414
 415                 //run last label if you need to
 416                 if (needToRun == true)  {
 417                         for (int i = 0; i < lookup.size(); i++) {  if (lookup[i] != NULL) {  delete lookup[i]; }  }
 418                         lookup = input->getSharedRAbundVectors(lastLabel);
 419
 420                         m->mothurOut(lookup[0]->getLabel()); m->mothurOutEndLine();
 421                         process(lookup);
 422                         for (int i = 0; i < lookup.size(); i++) {  delete lookup[i];  }
 423                 }
 424
 425                 if (m->control_pressed) { outputTypes.clear();  delete input;  for (int i = 0; i < outputNames.size(); i++) {   m->mothurRemove(outputNames[i]); } m->clearGroups(); return 0;  }
 426
 427                 //reset groups parameter
 428                 m->clearGroups();
 429
 430                 //set phylip file as new current phylipfile
 431                 string current = "";
 432                 itTypes = outputTypes.find("phylip");
 433                 if (itTypes != outputTypes.end()) {
 434                         if ((itTypes->second).size() != 0) { current = (itTypes->second)[0]; m->setPhylipFile(current); }
 435                 }
 436
 437                 m->mothurOutEndLine();
 438                 m->mothurOut("Output File Names: "); m->mothurOutEndLine();
 439                 for (int i = 0; i < outputNames.size(); i++) {  m->mothurOut(outputNames[i]); m->mothurOutEndLine();    }
 440                 m->mothurOutEndLine();
 441
 442
 443                 return 0;
 444         }
 445         catch(exception& e) {
 446                 m->errorOut(e, "MatrixOutputCommand", "execute");
 447                 exit(1);
 448         }
 449 }
 450 /***********************************************************/
 451 void MatrixOutputCommand::printSims(ostream& out, vector< vector<double> >& simMatrix) {
 452         try {
 453
 454                 out.setf(ios::fixed, ios::floatfield); out.setf(ios::showpoint);
 455
 456                 if (output == "lt") {
 457             out << simMatrix.size() << endl;
 458                         for (int b = 0; b < simMatrix.size(); b++)      {
 459                                 out << lookup[b]->getGroup() << '\t';
 460                                 for (int n = 0; n < b; n++)     {
 461                                         out << simMatrix[b][n] << '\t';
 462                                 }
 463                                 out << endl;
 464                         }
 465         }else if (output == "column") {
 466             for (int b = 0; b < simMatrix.size(); b++)  {
 467                 for (int n = 0; n < b; n++)     {
 468                     out << lookup[b]->getGroup() << '\t' << lookup[n]->getGroup() << '\t' << simMatrix[b][n] << endl;
 469                 }
 470             }
 471                 }else{
 472             out << simMatrix.size() << endl;
 473                         for (int b = 0; b < simMatrix.size(); b++)      {
 474                                 out << lookup[b]->getGroup() << '\t';
 475                                 for (int n = 0; n < simMatrix[b].size(); n++)   {
 476                                         out << simMatrix[b][n] << '\t';
 477                                 }
 478                                 out << endl;
 479                         }
 480                 }
 481         }
 482         catch(exception& e) {
 483                 m->errorOut(e, "MatrixOutputCommand", "printSims");
 484                 exit(1);
 485         }
 486 }
 487 /***********************************************************/
 488 int MatrixOutputCommand::process(vector<SharedRAbundVector*> thisLookup){
 489         try {
 490                 vector< vector< vector<seqDist> > > calcDistsTotals;  //each iter, one for each calc, then each groupCombos dists. this will be used to make .dist files
 491         vector< vector<seqDist>  > calcDists; calcDists.resize(matrixCalculators.size());
 492
 493         for (int thisIter = 0; thisIter < iters+1; thisIter++) {
 494             map<string, string> variables;
 495             variables["[filename]"] = outputDir + m->getRootName(m->getSimpleName(sharedfile));
 496             variables["[distance]"] = thisLookup[0]->getLabel();
 497             variables["[tag2]"] = "";
 498
 499             vector<SharedRAbundVector*> thisItersLookup = thisLookup;
 500
 501             if (subsample && (thisIter != 0)) {
 502                 SubSample sample;
 503                 vector<string> tempLabels; //dont need since we arent printing the sampled sharedRabunds
 504
 505                 //make copy of lookup so we don't get access violations
 506                 vector<SharedRAbundVector*> newLookup;
 507                 for (int k = 0; k < thisItersLookup.size(); k++) {
 508                     SharedRAbundVector* temp = new SharedRAbundVector();
 509                     temp->setLabel(thisItersLookup[k]->getLabel());
 510                     temp->setGroup(thisItersLookup[k]->getGroup());
 511                     newLookup.push_back(temp);
 512                 }
 513
 514                 //for each bin
 515                 for (int k = 0; k < thisItersLookup[0]->getNumBins(); k++) {
 516                     if (m->control_pressed) { for (int j = 0; j < newLookup.size(); j++) {  delete newLookup[j];  } return 0; }
 517                     for (int j = 0; j < thisItersLookup.size(); j++) { newLookup[j]->push_back(thisItersLookup[j]->getAbundance(k), thisItersLookup[j]->getGroup()); }
 518                 }
 519
 520                 tempLabels = sample.getSample(newLookup, subsampleSize);
 521                 thisItersLookup = newLookup;
 522             }
 523
 524             if(processors == 1){
 525                 driver(thisItersLookup, 0, numGroups, calcDists);
 526             }else{
 527                 int process = 1;
 528                 vector<int> processIDS;
 529
 530                 #if defined (__APPLE__) || (__MACH__) || (linux) || (__linux) || (__linux__) || (__unix__) || (__unix)
 531                 //loop through and create all the processes you want
 532                 while (process != processors) {
 533                     int pid = fork();
 534
 535                     if (pid > 0) {
 536                         processIDS.push_back(pid);
 537                         process++;
 538                     }else if (pid == 0){
 539
 540                         driver(thisItersLookup, lines[process].start, lines[process].end, calcDists);
 541
 542                         string tempdistFileName = m->getRootName(m->getSimpleName(sharedfile)) + toString(getpid()) + ".dist";
 543                         ofstream outtemp;
 544                         m->openOutputFile(tempdistFileName, outtemp);
 545
 546                         for (int i = 0; i < calcDists.size(); i++) {
 547                             outtemp << calcDists[i].size() << endl;
 548
 549                             for (int j = 0; j < calcDists[i].size(); j++) {
 550                                 outtemp << calcDists[i][j].seq1 << '\t' << calcDists[i][j].seq2 << '\t' << calcDists[i][j].dist << endl;
 551                             }
 552                         }
 553                         outtemp.close();
 554
 555                         exit(0);
 556                     }else {
 557                         m->mothurOut("[ERROR]: unable to spawn the necessary processes."); m->mothurOutEndLine();
 558                         for (int i = 0; i < processIDS.size(); i++) { kill (processIDS[i], SIGINT); }
 559                         exit(0);
 560                     }
 561                 }
 562
 563                 //parent do your part
 564                 driver(thisItersLookup, lines[0].start, lines[0].end, calcDists);
 565
 566                 //force parent to wait until all the processes are done
 567                 for (int i = 0; i < processIDS.size(); i++) {
 568                     int temp = processIDS[i];
 569                     wait(&temp);
 570                 }
 571
 572                 for (int i = 0; i < processIDS.size(); i++) {
 573                     string tempdistFileName = m->getRootName(m->getSimpleName(sharedfile)) + toString(processIDS[i]) +  ".dist";
 574                     ifstream intemp;
 575                     m->openInputFile(tempdistFileName, intemp);
 576
 577                     for (int k = 0; k < calcDists.size(); k++) {
 578                         int size = 0;
 579                         intemp >> size; m->gobble(intemp);
 580
 581                         for (int j = 0; j < size; j++) {
 582                             int seq1 = 0;
 583                             int seq2 = 0;
 584                             float dist = 1.0;
 585
 586                             intemp >> seq1 >> seq2 >> dist;   m->gobble(intemp);
 587
 588                             seqDist tempDist(seq1, seq2, dist);
 589                             calcDists[k].push_back(tempDist);
 590                         }
 591                     }
 592                     intemp.close();
 593                     m->mothurRemove(tempdistFileName);
 594                 }
 595                 #else
 596                 //////////////////////////////////////////////////////////////////////////////////////////////////////
 597                 //Windows version shared memory, so be careful when passing variables through the distSharedData struct.
 598                 //Above fork() will clone, so memory is separate, but that's not the case with windows,
 599                 //Taking advantage of shared memory to pass results vectors.
 600                 //////////////////////////////////////////////////////////////////////////////////////////////////////
 601
 602                 vector<distSharedData*> pDataArray;
 603                 DWORD   dwThreadIdArray[processors-1];
 604                 HANDLE  hThreadArray[processors-1];
 605
 606                 //Create processor worker threads.
 607                 for( int i=1; i<processors; i++ ){
 608
 609                     //make copy of lookup so we don't get access violations
 610                     vector<SharedRAbundVector*> newLookup;
 611                     for (int k = 0; k < thisItersLookup.size(); k++) {
 612                         SharedRAbundVector* temp = new SharedRAbundVector();
 613                         temp->setLabel(thisItersLookup[k]->getLabel());
 614                         temp->setGroup(thisItersLookup[k]->getGroup());
 615                         newLookup.push_back(temp);
 616                     }
 617
 618                     //for each bin
 619                     for (int k = 0; k < thisItersLookup[0]->getNumBins(); k++) {
 620                         if (m->control_pressed) { for (int j = 0; j < newLookup.size(); j++) {  delete newLookup[j];  } return 0; }
 621                         for (int j = 0; j < thisItersLookup.size(); j++) { newLookup[j]->push_back(thisItersLookup[j]->getAbundance(k), thisItersLookup[j]->getGroup()); }
 622                     }
 623
 624                     // Allocate memory for thread data.
 625                     distSharedData* tempSum = new distSharedData(m, lines[i].start, lines[i].end, Estimators, newLookup);
 626                     pDataArray.push_back(tempSum);
 627                     processIDS.push_back(i);
 628
 629                     hThreadArray[i-1] = CreateThread(NULL, 0, MyDistSharedThreadFunction, pDataArray[i-1], 0, &dwThreadIdArray[i-1]);
 630                 }
 631
 632                 //parent do your part
 633                 driver(thisItersLookup, lines[0].start, lines[0].end, calcDists);
 634
 635                 //Wait until all threads have terminated.
 636                 WaitForMultipleObjects(processors-1, hThreadArray, TRUE, INFINITE);
 637
 638                 //Close all thread handles and free memory allocations.
 639                 for(int i=0; i < pDataArray.size(); i++){
 640                     if (pDataArray[i]->count != (pDataArray[i]->end-pDataArray[i]->start)) {
 641                         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;
 642                     }
 643                     for (int j = 0; j < pDataArray[i]->thisLookup.size(); j++) {  delete pDataArray[i]->thisLookup[j];  }
 644
 645                     for (int k = 0; k < calcDists.size(); k++) {
 646                         int size = pDataArray[i]->calcDists[k].size();
 647                         for (int j = 0; j < size; j++) {    calcDists[k].push_back(pDataArray[i]->calcDists[k][j]);    }
 648                     }
 649
 650                     CloseHandle(hThreadArray[i]);
 651                     delete pDataArray[i];
 652                 }
 653
 654                 #endif
 655             }
 656
 657             if (subsample && (thisIter != 0)) {
 658                 if((thisIter) % 100 == 0){      m->mothurOutJustToScreen(toString(thisIter)+"\n");              }
 659                 calcDistsTotals.push_back(calcDists);
 660                 for (int i = 0; i < calcDists.size(); i++) {
 661                     for (int j = 0; j < calcDists[i].size(); j++) {
 662                         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");  }
 663                     }
 664                 }
 665                 //clean up memory
 666                 for (int i = 0; i < thisItersLookup.size(); i++) { delete thisItersLookup[i]; }
 667                 thisItersLookup.clear();
 668             }else { //print results for whole dataset
 669                 for (int i = 0; i < calcDists.size(); i++) {
 670                     if (m->control_pressed) { break; }
 671
 672                     //initialize matrix
 673                     vector< vector<double> > matrix; //square matrix to represent the distance
 674                     matrix.resize(thisLookup.size());
 675                     for (int k = 0; k < thisLookup.size(); k++) {  matrix[k].resize(thisLookup.size(), 0.0); }
 676
 677                     for (int j = 0; j < calcDists[i].size(); j++) {
 678                         int row = calcDists[i][j].seq1;
 679                         int column = calcDists[i][j].seq2;
 680                         double dist = calcDists[i][j].dist;
 681
 682                         matrix[row][column] = dist;
 683                         matrix[column][row] = dist;
 684                     }
 685
 686                     variables["[outputtag]"] = output;
 687                     variables["[calc]"] = matrixCalculators[i]->getName();
 688                     string distFileName = getOutputFileName("phylip",variables);
 689                     outputNames.push_back(distFileName); outputTypes["phylip"].push_back(distFileName);
 690
 691                     ofstream outDist;
 692                     m->openOutputFile(distFileName, outDist);
 693                     outDist.setf(ios::fixed, ios::floatfield); outDist.setf(ios::showpoint);
 694
 695                     printSims(outDist, matrix);
 696
 697                     outDist.close();
 698                 }
 699             }
 700             for (int i = 0; i < calcDists.size(); i++) {  calcDists[i].clear(); }
 701                 }
 702
 703         if (iters != 0) {
 704             //we need to find the average distance and standard deviation for each groups distance
 705             vector< vector<seqDist>  > calcAverages = m->getAverages(calcDistsTotals, mode);
 706
 707             //find standard deviation
 708             vector< vector<seqDist>  > stdDev = m->getStandardDeviation(calcDistsTotals, calcAverages);
 709
 710             //print results
 711             for (int i = 0; i < calcDists.size(); i++) {
 712                 vector< vector<double> > matrix; //square matrix to represent the distance
 713                 matrix.resize(thisLookup.size());
 714                 for (int k = 0; k < thisLookup.size(); k++) {  matrix[k].resize(thisLookup.size(), 0.0); }
 715
 716                 vector< vector<double> > stdmatrix; //square matrix to represent the stdDev
 717                 stdmatrix.resize(thisLookup.size());
 718                 for (int k = 0; k < thisLookup.size(); k++) {  stdmatrix[k].resize(thisLookup.size(), 0.0); }
 719
 720
 721                 for (int j = 0; j < calcAverages[i].size(); j++) {
 722                     int row = calcAverages[i][j].seq1;
 723                     int column = calcAverages[i][j].seq2;
 724                     float dist = calcAverages[i][j].dist;
 725                     float stdDist = stdDev[i][j].dist;
 726
 727                     matrix[row][column] = dist;
 728                     matrix[column][row] = dist;
 729                     stdmatrix[row][column] = stdDist;
 730                     stdmatrix[column][row] = stdDist;
 731                 }
 732
 733                 map<string, string> variables;
 734                 variables["[filename]"] = outputDir + m->getRootName(m->getSimpleName(sharedfile));
 735                 variables["[distance]"] = thisLookup[0]->getLabel();
 736                 variables["[outputtag]"] = output;
 737                 variables["[tag2]"] = "ave";
 738                 variables["[calc]"] = matrixCalculators[i]->getName();
 739                 string distFileName = getOutputFileName("phylip",variables);
 740                 outputNames.push_back(distFileName); outputTypes["phylip"].push_back(distFileName);
 741                 ofstream outAve;
 742                 m->openOutputFile(distFileName, outAve);
 743                 outAve.setf(ios::fixed, ios::floatfield); outAve.setf(ios::showpoint);
 744
 745                 printSims(outAve, matrix);
 746
 747                 outAve.close();
 748
 749                 variables["[tag2]"] = "std";
 750                 distFileName = getOutputFileName("phylip",variables);
 751                 outputNames.push_back(distFileName); outputTypes["phylip"].push_back(distFileName);
 752                 ofstream outSTD;
 753                 m->openOutputFile(distFileName, outSTD);
 754                 outSTD.setf(ios::fixed, ios::floatfield); outSTD.setf(ios::showpoint);
 755
 756                 printSims(outSTD, stdmatrix);
 757
 758                 outSTD.close();
 759
 760             }
 761         }
 762
 763                 return 0;
 764         }
 765         catch(exception& e) {
 766                 m->errorOut(e, "MatrixOutputCommand", "process");
 767                 exit(1);
 768         }
 769 }
 770 /**************************************************************************************************/
 771 int MatrixOutputCommand::driver(vector<SharedRAbundVector*> thisLookup, int start, int end, vector< vector<seqDist> >& calcDists) {
 772         try {
 773                 vector<SharedRAbundVector*> subset;
 774
 775                 for (int k = start; k < end; k++) { // pass cdd each set of groups to compare
 776
 777                         for (int l = 0; l < k; l++) {
 778
 779                                 if (k != l) { //we dont need to similiarity of a groups to itself
 780                                         subset.clear(); //clear out old pair of sharedrabunds
 781                                         //add new pair of sharedrabunds
 782                                         subset.push_back(thisLookup[k]); subset.push_back(thisLookup[l]);
 783
 784                                         for(int i=0;i<matrixCalculators.size();i++) {
 785
 786                                                 //if this calc needs all groups to calculate the pair load all groups
 787                                                 if (matrixCalculators[i]->getNeedsAll()) {
 788                                                         //load subset with rest of lookup for those calcs that need everyone to calc for a pair
 789                                                         for (int w = 0; w < thisLookup.size(); w++) {
 790                                                                 if ((w != k) && (w != l)) { subset.push_back(thisLookup[w]); }
 791                                                         }
 792                                                 }
 793
 794                                                 vector<double> tempdata = matrixCalculators[i]->getValues(subset); //saves the calculator outputs
 795
 796                                                 if (m->control_pressed) { return 1; }
 797
 798                                                 seqDist temp(l, k, tempdata[0]);
 799                                                 calcDists[i].push_back(temp);
 800                                         }
 801                                 }
 802                         }
 803                 }
 804
 805                 return 0;
 806         }
 807         catch(exception& e) {
 808                 m->errorOut(e, "MatrixOutputCommand", "driver");
 809                 exit(1);
 810         }
 811 }
 812 /***********************************************************/
 813
 814
 815