#include "unifracweightedcommand.h"
/***********************************************************/
-UnifracWeightedCommand::UnifracWeightedCommand() {
+UnifracWeightedCommand::UnifracWeightedCommand(string option) {
try {
globaldata = GlobalData::getInstance();
+ abort = false;
+ Groups.clear();
- T = globaldata->gTree;
- tmap = globaldata->gTreemap;
- sumFile = globaldata->getTreeFile() + ".wsummary";
- openOutputFile(sumFile, outSum);
+ //allow user to run help
+ if(option == "help") { help(); abort = true; }
+
+ else {
+ //valid paramters for this command
+ string Array[] = {"groups","iters"};
+ 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; }
+ }
+
+ if (globaldata->gTree.size() == 0) {//no trees were read
+ cout << "You must execute the read.tree command, before you may execute the unifrac.weighted command." << endl; abort = true; }
+
+ //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);
+ globaldata->Groups = Groups;
+ }
- util = new SharedUtil();
- string s; //to make work with setgroups
- util->setGroups(globaldata->Groups, tmap->namesOfGroups, s, numGroups, "weighted"); //sets the groups the user wants to analyze
- util->getCombos(groupComb, globaldata->Groups, numComp);
- globaldata->setGroups("");
+ itersString = validParameter.validFile(parameters, "iters", false); if (itersString == "not found") { itersString = "1000"; }
+ convert(itersString, iters);
+
+
+ if (abort == false) {
+ T = globaldata->gTree;
+ tmap = globaldata->gTreemap;
+ sumFile = globaldata->getTreeFile() + ".wsummary";
+ openOutputFile(sumFile, outSum);
- convert(globaldata->getIters(), iters); //how many random trees to generate
- weighted = new Weighted(tmap);
-
+ util = new SharedUtil();
+ string s; //to make work with setgroups
+ util->setGroups(globaldata->Groups, tmap->namesOfGroups, s, numGroups, "weighted"); //sets the groups the user wants to analyze
+ util->getCombos(groupComb, globaldata->Groups, numComp);
+
+ weighted = new Weighted(tmap);
+
+ }
+ }
+
+
}
catch(exception& e) {
cout << "Standard Error: " << e.what() << " has occurred in the UnifracWeightedCommand class Function UnifracWeightedCommand. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
exit(1);
}
}
+//**********************************************************************************************************************
+
+void UnifracWeightedCommand::help(){
+ try {
+ cout << "The unifrac.weighted command can only be executed after a successful read.tree command." << "\n";
+ cout << "The unifrac.weighted command parameters are groups and iters. No parameters are required." << "\n";
+ cout << "The groups parameter allows you to specify which of the groups in your groupfile you would like analyzed. You must enter at least 2 valid groups." << "\n";
+ cout << "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";
+ cout << "The unifrac.weighted command should be in the following format: unifrac.weighted(groups=yourGroups, iters=yourIters)." << "\n";
+ cout << "Example unifrac.weighted(groups=A-B-C, iters=500)." << "\n";
+ cout << "The default value for groups is all the groups in your groupfile, and iters is 1000." << "\n";
+ cout << "The unifrac.weighted command output two files: .weighted and .wsummary their descriptions are in the manual." << "\n";
+ cout << "Note: No spaces between parameter labels (i.e. groups), '=' and parameters (i.e.yourGroups)." << "\n" << "\n";
+ }
+ catch(exception& e) {
+ cout << "Standard Error: " << e.what() << " has occurred in the UnifracWeightedCommand class Function help. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
+ exit(1);
+ }
+ catch(...) {
+ cout << "An unknown error has occurred in the UnifracWeightedCommand class function help. Please contact Pat Schloss at pschloss@microbio.umass.edu." << "\n";
+ exit(1);
+ }
+}
+
/***********************************************************/
int UnifracWeightedCommand::execute() {
try {
+
+ if (abort == true) { return 0; }
+
Progress* reading;
reading = new Progress("Comparing to random:", iters);
rScores.resize(numComp); //data[0] = weightedscore AB, data[1] = weightedscore AC...
uScores.resize(numComp); //data[0] = weightedscore AB, data[1] = weightedscore AC...
- output = new ColumnFile(globaldata->getTreeFile() + toString(i+1) + ".weighted");
+ output = new ColumnFile(globaldata->getTreeFile() + toString(i+1) + ".weighted", itersString);
userData = weighted->getValues(T[i]); //userData[0] = weightedscore
for(int a = 0; a < numComp; a++) {
output->initFile(groupComb[a], tags);
//print each line
- for (it = validScores.begin(); it != validScores.end(); it++) {
+ 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();
for (int i = 0; i < T.size(); i++) {
for (int j = 0; j < numComp; j++) {
if (WScoreSig[count] > (1/(float)iters)) {
- outSum << setprecision(6) << i+1 << '\t' << groupComb[j] << '\t' << utreeScores[count] << '\t' << setprecision(globaldata->getIters().length()) << WScoreSig[count] << endl;
- cout << setprecision(6) << i+1 << '\t' << groupComb[j] << '\t' << utreeScores[count] << '\t' << setprecision(globaldata->getIters().length()) << WScoreSig[count] << endl;
+ outSum << setprecision(6) << i+1 << '\t' << groupComb[j] << '\t' << utreeScores[count] << '\t' << setprecision(itersString.length()) << WScoreSig[count] << endl;
+ cout << setprecision(6) << i+1 << '\t' << groupComb[j] << '\t' << utreeScores[count] << '\t' << setprecision(itersString.length()) << WScoreSig[count] << endl;
}else{
- outSum << setprecision(6) << i+1 << '\t' << groupComb[j] << '\t' << utreeScores[count] << '\t' << setprecision(globaldata->getIters().length()) << "<" << (1/float(iters)) << endl;
- cout << setprecision(6) << i+1 << '\t' << groupComb[j] << '\t' << utreeScores[count] << '\t' << setprecision(globaldata->getIters().length()) << "<" << (1/float(iters)) << endl;
+ outSum << setprecision(6) << i+1 << '\t' << groupComb[j] << '\t' << utreeScores[count] << '\t' << setprecision(itersString.length()) << "<" << (1/float(iters)) << endl;
+ cout << setprecision(6) << i+1 << '\t' << groupComb[j] << '\t' << utreeScores[count] << '\t' << setprecision(itersString.length()) << "<" << (1/float(iters)) << endl;
}
count++;
}
for (int f = 0; f < numComp; f++) {
for (int i = 0; i < rScores[f].size(); i++) { //looks like 0,0,1,1,1,2,4,7... you want to make a map that say rScoreFreq[0] = 2, rScoreFreq[1] = 3...
validScores[rScores[f][i]] = rScores[f][i];
- it = rScoreFreq[f].find(rScores[f][i]);
+ map<float,float>::iterator it = rScoreFreq[f].find(rScores[f][i]);
if (it != rScoreFreq[f].end()) {
rScoreFreq[f][rScores[f][i]]++;
}else{
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 (it = validScores.begin(); it != validScores.end(); it++) {
+ for (map<float,float>::iterator it = validScores.begin(); it != validScores.end(); it++) {
//make rscoreFreq map and rCumul
- it2 = rScoreFreq[a].find(it->first);
+ 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; }
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