#include "progress.hpp"
#include "sharedutilities.h"
#include "fileoutput.h"
-
-
-class GlobalData;
+#include "readtree.h"
class UnifracWeightedCommand : public Command {
public:
UnifracWeightedCommand(string);
UnifracWeightedCommand();
- ~UnifracWeightedCommand() { if (abort == false) { delete weighted; delete util; } }
- vector<string> getRequiredParameters();
- vector<string> getValidParameters();
- vector<string> getRequiredFiles();
- map<string, vector<string> > getOutputFiles() { return outputTypes; }
- int execute();
- void help();
+ ~UnifracWeightedCommand() {}
+
+ vector<string> setParameters();
+ string getCommandName() { return "unifrac.weighted"; }
+ string getCommandCategory() { return "Hypothesis Testing"; }
+ string getOutputFileNameTag(string, string);
+ string getHelpString();
+ string getCitation() { return "Lozupone CA, Hamady M, Kelley ST, Knight R (2007). Quantitative and qualitative beta diversity measures lead to different insights into factors that structure microbial communities. Appl Environ Microbiol 73: 1576-85. \nhttp://www.mothur.org/wiki/Unifrac.weighted"; }
+ string getDescription() { return "generic tests that describes whether two or more communities have the same structure"; }
+
+ int execute();
+ void help() { m->mothurOut(getHelpString()); }
private:
struct linePair {
linePair(int i, int j) : start(i), num(j) {}
};
vector<linePair> lines;
-
- GlobalData* globaldata;
- SharedUtil* util;
+ TreeMap* tmap;
FileOutput* output;
vector<Tree*> T; //user trees
vector<double> utreeScores; //user tree unweighted scores
vector<double> WScoreSig; //tree weighted score signifigance when compared to random trees - percentage of random trees with that score or lower.
vector<string> groupComb; // AB. AC, BC...
- TreeMap* tmap;
- Weighted* weighted;
string sumFile, outputDir;
int iters, numGroups, numComp, counter;
- EstOutput userData; //weighted score info for user tree
- EstOutput randomData; //weighted score info for random trees
vector< vector<double> > rScores; //vector<weighted scores for random trees.> each group comb has an entry
vector< vector<double> > uScores; //vector<weighted scores for user trees.> each group comb has an entry
vector< map<float, float> > rScoreFreq; //map <weighted score, number of random trees with that score.> -vector entry for each combination.
vector< map<float, float> > rCumul; //map <weighted score, cumulative percentage of number of random trees with that score or higher.> -vector entry for each c
map<float, float> validScores; //map contains scores from random
- bool abort, phylip, random, includeRoot;
- string groups, itersString, outputForm;
+ bool abort, phylip, random, includeRoot, subsample, consensus;
+ string groups, itersString, outputForm, treefile, groupfile, namefile;
vector<string> Groups, outputNames; //holds groups to be used
- map<string, vector<string> > outputTypes;
- int processors;
-
-
+ int processors, subsampleSize, subsampleIters;
ofstream outSum;
+ map<string, string> nameMap;
void printWSummaryFile();
void printWeightedFile();
void calculateFreqsCumuls();
int createProcesses(Tree*, vector< vector<string> >, vector< vector<double> >&);
int driver(Tree*, vector< vector<string> >, int, int, vector< vector<double> >&);
+ int runRandomCalcs(Tree*, vector<double>);
+ vector<Tree*> buildTrees(vector< vector<double> >&, int, TreeMap&);
+ int getConsensusTrees(vector< vector<double> >&, int);
+ int getAverageSTDMatrices(vector< vector<double> >&, int);
};