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A cpp version of Benjamini & Hochberg method for FDR control
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#include <Rcpp.h> | |
#include <stdlib.h> | |
using namespace Rcpp; | |
using namespace std; | |
// define pairs | |
typedef pair<double,int> pairType; | |
// define method for sorting | |
// advised by william chow | |
// https://williamchowhk.wordpress.com/2015/05/06/c-stdsort-objects/ | |
struct comparison{ | |
inline bool operator() (const pairType& a, const pairType& b) | |
{ | |
return a.first < b.first; | |
} | |
}; | |
// function for sorting vector | |
NumericVector indexSort(NumericVector p) | |
{ | |
// sorting a vector in ascending order and return | |
// a vector of the index of the sorted vector | |
int i, size = p.size(); | |
NumericVector resultVec(size); | |
vector<pairType> newVec(size); | |
//sorting | |
for (i = 0; i < size; i++) | |
{ | |
newVec[i] = make_pair(p[i],i); | |
} | |
sort(newVec.begin(),newVec.end(),comparison()); | |
//pushing back index vector | |
for (i = 0; i < size; i ++) | |
{ | |
resultVec[i] = newVec[i].second; | |
} | |
return(resultVec); | |
} | |
// [[Rcpp::export]] | |
// using a vector of p-values and false discovery rate threshold to | |
// label all the significant results | |
// where 1 is significant, is insignificant | |
NumericVector FDRcontrol(NumericVector p, double alpha) | |
{ | |
float threshold1, threshold2; | |
int i = 0, size = p.size(); | |
NumericVector passed(size); | |
NumericVector index = indexSort(p); | |
while ( i < size) | |
{ | |
threshold1 = alpha * (i+1) / size; | |
threshold2 = alpha * (i+2) / size; | |
if (threshold1 > p[index[i]] && threshold2 < p[index[i+1]]) | |
{ | |
for (int j = 0; j <= i; j++) | |
{ | |
passed[index[j]] = 1; | |
} | |
} | |
i++; | |
} | |
return(passed); | |
} |
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