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1 #ifndef UNIFRACWEIGHTEDCOMMAND_H
2 #define UNIFRACWEIGHTEDCOMMAND_H
3
4 /*
5  *  unifracweightedcommand.h
6  *  Mothur
7  *
8  *  Created by Sarah Westcott on 2/9/09.
9  *  Copyright 2009 Schloss Lab UMASS Amherst. All rights reserved.
10  *
11  */
12
13 #include "command.hpp"
14 #include "weighted.h"
15 #include "treemap.h"
16 #include "progress.hpp"
17 #include "sharedutilities.h"
18 #include "fileoutput.h"
19
20
21 class GlobalData;
22
23 class UnifracWeightedCommand : public Command {
24         
25         public:
26                 UnifracWeightedCommand(string);
27                 ~UnifracWeightedCommand() { if (abort == false) {  delete weighted; delete util; } }
28                 int execute();  
29                 void help();
30         
31         private:
32                 GlobalData* globaldata;
33                 SharedUtil* util;
34                 FileOutput* output;
35                 vector<Tree*> T;           //user trees
36                 vector<double> utreeScores;  //user tree unweighted scores
37                 vector<double> WScoreSig;  //tree weighted score signifigance when compared to random trees - percentage of random trees with that score or lower.
38                 vector<string> groupComb; // AB. AC, BC...
39                 Tree* randT;  //random tree
40                 TreeMap* tmap;
41                 Weighted* weighted;
42                 string sumFile, outputDir;
43                 int iters, numGroups, numComp, counter;
44                 EstOutput userData;                     //weighted score info for user tree
45                 EstOutput randomData;           //weighted score info for random trees
46                 vector< vector<double> > rScores;  //vector<weighted scores for random trees.> each group comb has an entry
47                 vector< vector<double> > uScores;  //vector<weighted scores for user trees.> each group comb has an entry
48                 vector< map<float, float> > rScoreFreq;  //map <weighted score, number of random trees with that score.> -vector entry for each combination.
49                 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                                                                
50                 map<float, float>  validScores;  //map contains scores from random
51                 
52                 bool abort, phylip, random;
53                 string groups, itersString;
54                 vector<string> Groups, outputNames; //holds groups to be used
55
56                 
57                 ofstream outSum;
58                 
59                 void printWSummaryFile();
60                 void printWeightedFile();  
61                 void createPhylipFile();
62                 //void removeValidScoresDuplicates();
63                 int findIndex(float, int);
64                 void calculateFreqsCumuls();
65                 
66 };
67
68
69
70 #endif