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anosimcommand.cpp
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anosimcommand.cpp
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/*
* anosimcommand.cpp
* mothur
*
* Created by westcott on 2/14/11.
* Copyright 2011 Schloss Lab. All rights reserved.
*
*/
#include "anosimcommand.h"
#include "inputdata.h"
#include "readphylipvector.h"
//**********************************************************************************************************************
vector<string> AnosimCommand::setParameters(){
try {
CommandParameter pdesign("design", "InputTypes", "", "", "none", "none", "none","anosim",false,true,true); parameters.push_back(pdesign);
CommandParameter pphylip("phylip", "InputTypes", "", "", "none", "none", "none","anosim",false,true,true); parameters.push_back(pphylip);
CommandParameter piters("iters", "Number", "", "1000", "", "", "","",false,false); parameters.push_back(piters);
CommandParameter palpha("alpha", "Number", "", "0.05", "", "", "","",false,false); parameters.push_back(palpha);
CommandParameter pinputdir("inputdir", "String", "", "", "", "", "","",false,false); parameters.push_back(pinputdir);
CommandParameter poutputdir("outputdir", "String", "", "", "", "", "","",false,false); parameters.push_back(poutputdir);
vector<string> myArray;
for (int i = 0; i < parameters.size(); i++) { myArray.push_back(parameters[i].name); }
return myArray;
}
catch(exception& e) {
m->errorOut(e, "AnosimCommand", "setParameters");
exit(1);
}
}
//**********************************************************************************************************************
string AnosimCommand::getHelpString(){
try {
string helpString = "";
helpString += "Referenced: Clarke, K. R. (1993). Non-parametric multivariate analysis of changes in community structure. _Australian Journal of Ecology_ 18, 117-143.\n";
helpString += "The anosim command outputs a .anosim file. \n";
helpString += "The anosim command parameters are phylip, iters, and alpha. The phylip and design parameters are required, unless you have valid current files.\n";
helpString += "The design parameter allows you to assign your samples to groups when you are running anosim. It is required. \n";
helpString += "The design file looks like the group file. It is a 2 column tab delimited file, where the first column is the sample name and the second column is the group the sample belongs to.\n";
helpString += "The iters parameter allows you to set number of randomization for the P value. The default is 1000. \n";
helpString += "The anosim command should be in the following format: anosim(phylip=file.dist, design=file.design).\n";
helpString += "Note: No spaces between parameter labels (i.e. iters), '=' and parameters (i.e. 1000).\n";
return helpString;
}
catch(exception& e) {
m->errorOut(e, "AnosimCommand", "getHelpString");
exit(1);
}
}
//**********************************************************************************************************************
string AnosimCommand::getOutputPattern(string type) {
try {
string pattern = "";
if (type == "anosim") { pattern = "[filename],anosim"; } //makes file like: amazon.align
else { m->mothurOut("[ERROR]: No definition for type " + type + " output pattern.\n"); m->control_pressed = true; }
return pattern;
}
catch(exception& e) {
m->errorOut(e, "AnosimCommand", "getOutputPattern");
exit(1);
}
}
//**********************************************************************************************************************
AnosimCommand::AnosimCommand(){
try {
abort = true; calledHelp = true;
setParameters();
vector<string> tempOutNames;
outputTypes["anosim"] = tempOutNames;
}
catch(exception& e) {
m->errorOut(e, "AnosimCommand", "AnosimCommand");
exit(1);
}
}
//**********************************************************************************************************************
AnosimCommand::AnosimCommand(string option) {
try {
abort = false; calledHelp = false;
//allow user to run help
if(option == "help") { help(); abort = true; calledHelp = true; }
else if(option == "citation") { citation(); abort = true; calledHelp = true;}
else {
vector<string> myArray = setParameters();
OptionParser parser(option);
map<string,string> parameters = parser.getParameters();
ValidParameters validParameter;
//check to make sure all parameters are valid for command
map<string,string>::iterator it;
for (it = parameters.begin(); it != parameters.end(); it++) {
if (validParameter.isValidParameter(it->first, myArray, it->second) != true) { abort = true; }
}
//initialize outputTypes
vector<string> tempOutNames;
outputTypes["anosim"] = tempOutNames;
//if the user changes the output directory command factory will send this info to us in the output parameter
outputDir = validParameter.validFile(parameters, "outputdir", false); if (outputDir == "not found"){ outputDir = ""; }
//if the user changes the input directory command factory will send this info to us in the output parameter
string inputDir = validParameter.validFile(parameters, "inputdir", false);
if (inputDir == "not found"){ inputDir = ""; }
else {
string path;
it = parameters.find("design");
//user has given a template file
if(it != parameters.end()){
path = m->hasPath(it->second);
//if the user has not given a path then, add inputdir. else leave path alone.
if (path == "") { parameters["design"] = inputDir + it->second; }
}
it = parameters.find("phylip");
//user has given a template file
if(it != parameters.end()){
path = m->hasPath(it->second);
//if the user has not given a path then, add inputdir. else leave path alone.
if (path == "") { parameters["phylip"] = inputDir + it->second; }
}
}
phylipFileName = validParameter.validFile(parameters, "phylip", true);
if (phylipFileName == "not open") { phylipFileName = ""; abort = true; }
else if (phylipFileName == "not found") {
//if there is a current phylip file, use it
phylipFileName = m->getPhylipFile();
if (phylipFileName != "") { m->mothurOut("Using " + phylipFileName + " as input file for the phylip parameter."); m->mothurOutEndLine(); }
else { m->mothurOut("You have no current phylip file and the phylip parameter is required."); m->mothurOutEndLine(); abort = true; }
}else { m->setPhylipFile(phylipFileName); }
//check for required parameters
designFileName = validParameter.validFile(parameters, "design", true);
if (designFileName == "not open") { designFileName = ""; abort = true; }
else if (designFileName == "not found") {
//if there is a current design file, use it
designFileName = m->getDesignFile();
if (designFileName != "") { m->mothurOut("Using " + designFileName + " as input file for the design parameter."); m->mothurOutEndLine(); }
else { m->mothurOut("You have no current design file and the design parameter is required."); m->mothurOutEndLine(); abort = true; }
}else { m->setDesignFile(designFileName); }
string temp = validParameter.validFile(parameters, "iters", false);
if (temp == "not found") { temp = "1000"; }
m->mothurConvert(temp, iters);
temp = validParameter.validFile(parameters, "alpha", false);
if (temp == "not found") { temp = "0.05"; }
m->mothurConvert(temp, experimentwiseAlpha);
}
}
catch(exception& e) {
m->errorOut(e, "AnosimCommand", "AnosimCommand");
exit(1);
}
}
//**********************************************************************************************************************
int AnosimCommand::execute(){
try {
if (abort == true) { if (calledHelp) { return 0; } return 2; }
//read design file
designMap = new GroupMap(designFileName);
designMap->readDesignMap();
if (outputDir == "") { outputDir = m->hasPath(phylipFileName); }
//read in distance matrix and square it
ReadPhylipVector readMatrix(phylipFileName);
vector<string> sampleNames = readMatrix.read(distanceMatrix);
for(int i=0;i<distanceMatrix.size();i++){
for(int j=0;j<i;j++){
distanceMatrix[i][j] *= distanceMatrix[i][j];
}
}
//link designMap to rows/columns in distance matrix
map<string, vector<int> > origGroupSampleMap;
for(int i=0;i<sampleNames.size();i++){
string group = designMap->getGroup(sampleNames[i]);
if (group == "not found") {
m->mothurOut("[ERROR]: " + sampleNames[i] + " is not in your design file, please correct."); m->mothurOutEndLine(); m->control_pressed = true;
}else { origGroupSampleMap[group].push_back(i); }
}
int numGroups = origGroupSampleMap.size();
if (m->control_pressed) { delete designMap; return 0; }
//create a new filename
ofstream ANOSIMFile;
map<string, string> variables; variables["[filename]"] = outputDir + m->getRootName(m->getSimpleName(phylipFileName));
string ANOSIMFileName = getOutputFileName("anosim", variables);
m->openOutputFile(ANOSIMFileName, ANOSIMFile);
outputNames.push_back(ANOSIMFileName); outputTypes["anosim"].push_back(ANOSIMFileName);
m->mothurOut("\ncomparison\tR-value\tP-value\n");
ANOSIMFile << "comparison\tR-value\tP-value\n";
double fullANOSIMPValue = runANOSIM(ANOSIMFile, distanceMatrix, origGroupSampleMap, experimentwiseAlpha);
if(fullANOSIMPValue <= experimentwiseAlpha && numGroups > 2){
int numCombos = numGroups * (numGroups-1) / 2;
double pairwiseAlpha = experimentwiseAlpha / (double) numCombos;
for(map<string, vector<int> >::iterator itA=origGroupSampleMap.begin();itA!=origGroupSampleMap.end();itA++){
map<string, vector<int> >::iterator itB = itA;
itB++;
for(itB;itB!=origGroupSampleMap.end();itB++){
map<string, vector<int> > subGroupSampleMap;
subGroupSampleMap[itA->first] = itA->second; string groupA = itA->first;
subGroupSampleMap[itB->first] = itB->second; string groupB = itB->first;
vector<int> subIndices;
for(map<string, vector<int> >::iterator it=subGroupSampleMap.begin();it!=subGroupSampleMap.end();it++){
subIndices.insert(subIndices.end(), it->second.begin(), it->second.end());
}
int subNumSamples = subIndices.size();
sort(subIndices.begin(), subIndices.end());
vector<vector<double> > subDistMatrix(distanceMatrix.size());
for(int i=0;i<distanceMatrix.size();i++){
subDistMatrix[i].assign(distanceMatrix.size(), -1);
}
for(int i=0;i<subNumSamples;i++){
for(int j=0;j<i;j++){
subDistMatrix[subIndices[i]][subIndices[j]] = distanceMatrix[subIndices[i]][subIndices[j]];
}
}
runANOSIM(ANOSIMFile, subDistMatrix, subGroupSampleMap, pairwiseAlpha);
}
}
m->mothurOut("\nExperiment-wise error rate: " + toString(experimentwiseAlpha) + '\n');
m->mothurOut("Pair-wise error rate (Bonferroni): " + toString(pairwiseAlpha) + '\n');
}
else{
m->mothurOut("\nExperiment-wise error rate: " + toString(experimentwiseAlpha) + '\n');
}
m->mothurOut("If you have borderline P-values, you should try increasing the number of iterations\n");
ANOSIMFile.close();
delete designMap;
m->mothurOutEndLine();
m->mothurOut("Output File Names: "); m->mothurOutEndLine();
for (int i = 0; i < outputNames.size(); i++) { m->mothurOut(outputNames[i]); m->mothurOutEndLine(); }
m->mothurOutEndLine();
return 0;
}
catch(exception& e) {
m->errorOut(e, "AnosimCommand", "execute");
exit(1);
}
}
//**********************************************************************************************************************
double AnosimCommand::runANOSIM(ofstream& ANOSIMFile, vector<vector<double> > dMatrix, map<string, vector<int> > groupSampleMap, double alpha) {
try {
vector<vector<double> > rankMatrix = convertToRanks(dMatrix);
double RValue = calcR(rankMatrix, groupSampleMap);
int pCount = 0;
for(int i=0;i<iters;i++){
map<string, vector<int> > randGroupSampleMap = getRandomizedGroups(groupSampleMap);
double RValueRand = calcR(rankMatrix, randGroupSampleMap);
if(RValue <= RValueRand){ pCount++; }
}
double pValue = (double)pCount / (double) iters;
string pString = "";
if(pValue < 1/(double)iters){ pString = '<' + toString(1/(double)iters); }
else { pString = toString(pValue); }
map<string, vector<int> >::iterator it=groupSampleMap.begin();
m->mothurOut(it->first);
ANOSIMFile << it->first;
it++;
for(it;it!=groupSampleMap.end();it++){
m->mothurOut('-' + it->first);
ANOSIMFile << '-' << it->first;
}
m->mothurOut('\t' + toString(RValue) + '\t' + pString);
ANOSIMFile << '\t' << RValue << '\t' << pString;
if(pValue < alpha){
ANOSIMFile << "*";
m->mothurOut("*");
}
ANOSIMFile << endl;
m->mothurOutEndLine();
return pValue;
}
catch(exception& e) {
m->errorOut(e, "AnosimCommand", "calcAnisom");
exit(1);
}
}
//**********************************************************************************************************************
double AnosimCommand::calcR(vector<vector<double> > rankMatrix, map<string, vector<int> > groupSampleMap){
try {
int numSamples = 0;
for(map<string, vector<int> >::iterator it=groupSampleMap.begin();it!=groupSampleMap.end();it++){
numSamples += it->second.size();
}
double within = 0.0;
int numWithinComps = 0;
for(map<string, vector<int> >::iterator it=groupSampleMap.begin();it!=groupSampleMap.end();it++){
vector<int> indices = it->second;
for(int i=0;i<indices.size();i++){
for(int j=0;j<i;j++){
if(indices[i] > indices[j]) { within += rankMatrix[indices[i]][indices[j]]; }
else { within += rankMatrix[indices[j]][indices[i]]; }
numWithinComps++;
}
}
}
within /= (float) numWithinComps;
double between = 0.0;
int numBetweenComps = 0;
map<string, vector<int> >::iterator itB;
for(map<string, vector<int> >::iterator itA=groupSampleMap.begin();itA!=groupSampleMap.end();itA++){
for(int i=0;i<itA->second.size();i++){
int A = itA->second[i];
map<string, vector<int> >::iterator itB = itA;
itB++;
for(itB;itB!=groupSampleMap.end();itB++){
for(int j=0;j<itB->second.size();j++){
int B = itB->second[j];
if(A>B) { between += rankMatrix[A][B]; }
else { between += rankMatrix[B][A]; }
numBetweenComps++;
}
}
}
}
between /= (float) numBetweenComps;
double Rvalue = (between - within)/(numSamples * (numSamples-1) / 4.0);
return Rvalue;
}
catch(exception& e) {
m->errorOut(e, "AnosimCommand", "calcWithinBetween");
exit(1);
}
}
//**********************************************************************************************************************
vector<vector<double> > AnosimCommand::convertToRanks(vector<vector<double> > dist) {
try {
vector<seqDist> cells;
vector<vector<double> > ranks = dist;
for (int i = 0; i < dist.size(); i++) {
for (int j = 0; j < i; j++) {
if(dist[i][j] != -1){
seqDist member(i, j, dist[i][j]);
cells.push_back(member);
}
}
}
//sort distances
sort(cells.begin(), cells.end(), compareSequenceDistance);
//find ranks of distances
int index = 0;
int indexSum = 0;
for(int i=0;i<cells.size()-1;i++){
index = i;
indexSum = i + 1;
while(dist[cells[index].seq1][cells[index].seq2] == dist[cells[index+1].seq1][cells[index+1].seq2]){
index++;
indexSum += index + 1;
}
if(index == i){
ranks[cells[i].seq1][cells[i].seq2] = i+1;
}
else{
double aveIndex = (double)indexSum / (double)(index - i + 1);
for(int j=i;j<=index;j++){
ranks[cells[j].seq1][cells[j].seq2] = aveIndex;
}
i = index;
}
}
if(indexSum == cells.size() - 1){
ranks[cells[cells.size()-1].seq1][cells[cells.size()-1].seq2] = indexSum + 1;
}
return ranks;
}
catch(exception& e) {
m->errorOut(e, "AnosimCommand", "convertToRanks");
exit(1);
}
}
//**********************************************************************************************************************
map<string, vector<int> > AnosimCommand::getRandomizedGroups(map<string, vector<int> > origMapping){
try{
vector<int> sampleIndices;
vector<int> samplesPerGroup;
map<string, vector<int> >::iterator it;
for(it=origMapping.begin();it!=origMapping.end();it++){
vector<int> indices = it->second;
samplesPerGroup.push_back(indices.size());
sampleIndices.insert(sampleIndices.end(), indices.begin(), indices.end());
}
random_shuffle(sampleIndices.begin(), sampleIndices.end());
int index = 0;
map<string, vector<int> > randomizedGroups = origMapping;
for(it=randomizedGroups.begin();it!=randomizedGroups.end();it++){
for(int i=0;i<it->second.size();i++){
it->second[i] = sampleIndices[index++];
}
}
return randomizedGroups;
}
catch (exception& e) {
m->errorOut(e, "AnosimCommand", "randomizeGroups");
exit(1);
}
}
//**********************************************************************************************************************