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EigenMatLib.h : C++行列演算ライブラリEigenを使った,MATLABの便利関数を模倣したヘッダライブラリ.
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//------------------------------------------------------------------------- | |
// | |
// File : EigenMatLib.m | |
// | |
// Discription : Eigen Library inspired by Matlab functions. | |
// | |
// Environment : C++ | |
// | |
// Author : Atsushi Sakai | |
// | |
// Copyright (c): 2013 Atsushi Sakai | |
// | |
// License : Modified BSD Software License Agreement | |
//------------------------------------------------------------------------- | |
#ifndef INCLUDED_EIGENMATLIB | |
#define INCLUDED_EIGENMATLIB | |
#include <Eigen/Dense> | |
using namespace Eigen; | |
using namespace std; | |
// Standard deviation | |
// input | |
// X:data vector | |
// flag: 0 or 1 | |
// dim : 1 or 2 | |
// output | |
// stdResult: Standar deviation value. | |
// if an error is detected, empty matrix will resturn. | |
MatrixXf Std(const MatrixXf& X,int flag,int dim){ | |
MatrixXf stdResult; | |
if(X.size()==0){//data size check | |
cout<<"Error Std:Input data is empty."<<endl; | |
} | |
if(flag<0||flag>1){//flag check | |
cout<<"Error Std:flag is imvalid."<<endl; | |
} | |
if(dim<1||dim>2){//flag check | |
cout<<"Error Std:dim is imvalid."<<endl; | |
} | |
int ncol=X.cols(); | |
int nrow=X.rows(); | |
if(dim==1){//row-wise | |
stdResult.resize(1,ncol); | |
double mean; | |
for(int i=0;i<ncol;i++){ | |
mean=X.col(i).mean(); | |
stdResult(0,i)=(X.col(i)-MatrixXf::Constant(nrow,1,mean)).squaredNorm(); | |
if(flag==0){ | |
if(nrow>1){ | |
stdResult(0,i)=sqrt(stdResult(0,i)/(nrow-1)); | |
} | |
else{ | |
stdResult(0,i)=0; | |
} | |
} | |
else{ | |
stdResult(0,i)=sqrt(stdResult(0,i)/nrow); | |
} | |
} | |
} | |
else{//col-wise | |
stdResult.resize(nrow,1); | |
double mean; | |
for(int i=0;i<nrow;i++){ | |
mean=X.row(i).mean(); | |
stdResult(i,0)=(X.row(i)-MatrixXf::Constant(1,ncol,mean)).squaredNorm(); | |
if(flag==0){ | |
if(ncol>1){ | |
stdResult(i,0)=sqrt(stdResult(i,0)/(ncol-1)); | |
} | |
else{ | |
stdResult(0,i)=0; | |
} | |
} | |
else{ | |
stdResult(i,0)=sqrt(stdResult(i,0)/ncol); | |
} | |
} | |
} | |
return stdResult; | |
} | |
#endif |
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