//----------------------------------------
void SingleRandom::Generate()
{
int loop, offset;
table_.clear();
for(loop = range_min_; loop < range_max_; ++loop)
{
table_.push_back(loop);
}
int tem;
RandomSeed();
for(loop = 0; loop < table_.size(); ++loop)
{
offset = NormalRandom(0, table_.size() - 1) + loop;
//offset = (rand() % (range_max_ - 1)) + loop;
if( offset >= table_.size())
offset -= table_.size();
//将数字对调
tem = table_[loop];
table_[loop] = table_[offset];
table_[offset] = tem;
}
}
//---------------------------------------------------------------------------
int TGLM::execute(my_string* passedParams, int numPassedParams){
//read params from input --> first two are filenames
for(int i=0;i<numParams;++i){
P.element(i)=passedParams[i+2].toDouble();
}
//write header to output file
ofstream out;
out.open(outputFilename.c_str());
if(!out) throw TException("INTERNALGLM program: the output file '"+outputFilename+"' could not be opened!", _FATAL_ERROR);
out << "Stat_1";
for(int i=1;i<numStats;++i){
out << "\t" << "Stat_" << i+1;
}
out << endl;
for(int i=0;i<numStats;++i) e.element(i)=NormalRandom(0,1);
e=A*e;
//compute stats
s=C*P+c0+e;
//write stats
for(int i=0;i<numStats;++i){
out << s.element(i);
}
out << endl;
out.close();
return 1;
}
NormalRandom Random::gaussian(double mean, double variance) {
boost::normal_distribution<> dist(mean, variance);
return NormalRandom(seed(), dist);
}
