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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 #include "readtree.h"
20
21 class UnifracWeightedCommand : public Command {
22         
23         public:
24                 UnifracWeightedCommand(string);
25                 UnifracWeightedCommand();
26                 ~UnifracWeightedCommand() {}
27         
28                 vector<string> setParameters();
29                 string getCommandName()                 { return "unifrac.weighted";            }
30                 string getCommandCategory()             { return "Hypothesis Testing";          }
31                 string getHelpString(); 
32                 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"; }
33         
34                 int execute();
35                 void help() { m->mothurOut(getHelpString()); }
36         
37         private:
38                 struct linePair {
39                         int start;
40                         int num;
41                         linePair(int i, int j) : start(i), num(j) {}
42                 };
43                 vector<linePair> lines;
44                 
45                 ReadTree* read;
46                 SharedUtil* util;
47                 FileOutput* output;
48                 vector<Tree*> T;           //user trees
49                 vector<double> utreeScores;  //user tree unweighted scores
50                 vector<double> WScoreSig;  //tree weighted score signifigance when compared to random trees - percentage of random trees with that score or lower.
51                 vector<string> groupComb; // AB. AC, BC...
52                 TreeMap* tmap;
53                 Weighted* weighted;
54                 string sumFile, outputDir;
55                 int iters, numGroups, numComp, counter;
56                 EstOutput userData;                     //weighted score info for user tree
57                 EstOutput randomData;           //weighted score info for random trees
58                 vector< vector<double> > rScores;  //vector<weighted scores for random trees.> each group comb has an entry
59                 vector< vector<double> > uScores;  //vector<weighted scores for user trees.> each group comb has an entry
60                 vector< map<float, float> > rScoreFreq;  //map <weighted score, number of random trees with that score.> -vector entry for each combination.
61                 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                                                                
62                 map<float, float>  validScores;  //map contains scores from random
63                 
64                 bool abort, phylip, random, includeRoot;
65                 string groups, itersString, outputForm, treefile, groupfile, namefile;
66                 vector<string> Groups, outputNames; //holds groups to be used
67                 int processors, numUniquesInName;
68                 ofstream outSum;
69                 map<string, string> nameMap;
70                 
71                 void printWSummaryFile();
72                 void printWeightedFile();  
73                 void createPhylipFile();
74                 //void removeValidScoresDuplicates();
75                 int findIndex(float, int);
76                 void calculateFreqsCumuls();
77                 int createProcesses(Tree*,  vector< vector<string> >,  vector< vector<double> >&);
78                 int driver(Tree*, vector< vector<string> >, int, int,  vector< vector<double> >&);
79                 int readNamesFile();
80                 
81 };
82
83
84
85 #endif