//**********************************************************************************************************************
UnifracUnweightedCommand::UnifracUnweightedCommand(){
try {
+ globaldata = GlobalData::getInstance();
+ abort = true;
//initialize outputTypes
vector<string> tempOutNames;
outputTypes["unweighted"] = tempOutNames;
outputTypes["uwsummary"] = tempOutNames;
outputTypes["phylip"] = tempOutNames;
+ outputTypes["column"] = tempOutNames;
}
catch(exception& e) {
m->errorOut(e, "UnifracUnweightedCommand", "UnifracUnweightedCommand");
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; }
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") { temp = "false"; }
- phylip = m->isTrue(temp);
+ 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);
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 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 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");
/***********************************************************/
void UnifracUnweightedCommand::createPhylipFile(int i) {
try {
- string phylipFileName = outputDir + m->getSimpleName(globaldata->getTreeFile()) + toString(i+1) + ".unweighted.dist";
- outputNames.push_back(phylipFileName); outputTypes["phylip"].push_back(phylipFileName);
+ 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);
-
- //output numSeqs
- out << globaldata->Groups.size() << endl;
-
+
+ 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++) {
if (name.length() < 10) { //pad with spaces to make compatible
while (name.length() < 10) { name += " "; }
}
- out << name << '\t';
- //output distances
- for (int l = 0; l < r; l++) { out << dists[r][l] << '\t'; }
- out << endl;
+ 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 += " "; }
+ }
+
+ out << name << '\t' << otherName << dists[r][l] << endl;
+ }
+ }
}
out.close();
}