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// mean.h: Rcpp R/C++ interface class library -- mean
//
// Copyright (C) 2011 - 2023 Dirk Eddelbuettel and Romain Francois
//
// This file is part of Rcpp.
//
// Rcpp is free software: you can redistribute it and/or modify it
// under the terms of the GNU General Public License as published by
// the Free Software Foundation, either version 2 of the License, or
// (at your option) any later version.
//
// Rcpp is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with Rcpp. If not, see <http://www.gnu.org/licenses/>.
#ifndef Rcpp__sugar__mean_h
#define Rcpp__sugar__mean_h
namespace Rcpp{
namespace sugar{
template <int RTYPE, bool NA, typename T>
class Mean : public Lazy<double, Mean<RTYPE,NA,T> > {
public:
typedef typename Rcpp::VectorBase<RTYPE,NA,T> VEC_TYPE;
typedef Rcpp::Vector<RTYPE> VECTOR;
Mean(const VEC_TYPE& object_) : object(object_) {}
double get() const {
VECTOR input = object;
R_xlen_t n = input.size(); // double pass (as in summary.c)
long double s = std::accumulate(input.begin(), input.end(), 0.0L);
s /= n;
if (R_FINITE((double)s)) {
long double t = 0.0;
for (R_xlen_t i = 0; i < n; i++) {
t += input[i] - s;
}
s += t/n;
}
return (double)s ;
}
private:
const VEC_TYPE& object ;
};
template <bool NA, typename T>
class Mean<CPLXSXP,NA,T> : public Lazy<Rcomplex, Mean<CPLXSXP,NA,T> > {
public:
typedef typename Rcpp::VectorBase<CPLXSXP,NA,T> VEC_TYPE;
Mean(const VEC_TYPE& object_) : object(object_) {}
Rcomplex get() const {
ComplexVector input = object;
R_xlen_t n = input.size(); // double pass (as in summary.c)
long double s = 0.0, si = 0.0;
for (R_xlen_t i=0; i<n; i++) {
Rcomplex z = input[i];
s += z.r;
si += z.i;
}
s /= n;
si /= n;
if (R_FINITE((double)s) && R_FINITE((double)si)) {
long double t = 0.0, ti = 0.0;
for (R_xlen_t i = 0; i < n; i++) {
Rcomplex z = input[i];
t += z.r - s;
ti += z.i - si;
}
s += t/n;
si += ti/n;
}
Rcomplex z;
z.r = static_cast<double>(s);
z.i = static_cast<double>(si);
return z;
}
private:
const VEC_TYPE& object ;
};
template <bool NA, typename T>
class Mean<LGLSXP,NA,T> : public Lazy<double, Mean<LGLSXP,NA,T> > {
public:
typedef typename Rcpp::VectorBase<LGLSXP,NA,T> VEC_TYPE;
Mean(const VEC_TYPE& object_) : object(object_) {}
double get() const {
LogicalVector input = object;
R_xlen_t n = input.size();
long double s = 0.0;
for (R_xlen_t i=0; i<n; i++) {
if (input[i] == NA_INTEGER) return NA_REAL;
s += input[i];
}
s /= n; // no overflow correction needed for logical vectors
return (double)s;
}
private:
const VEC_TYPE& object ;
};
template <bool NA, typename T>
class Mean<INTSXP,NA,T> : public Lazy<double, Mean<INTSXP,NA,T> > {
public:
typedef typename Rcpp::VectorBase<INTSXP,NA,T> VEC_TYPE;
Mean(const VEC_TYPE& object_) : object(object_) {}
double get() const {
IntegerVector input = object;
R_xlen_t n = input.size(); // double pass (as in summary.c)
long double s = std::accumulate(input.begin(), input.end(), 0.0L);
s /= n;
long double t = 0.0;
for (R_xlen_t i = 0; i < n; i++) {
if (input[i] == NA_INTEGER) return NA_REAL;
t += input[i] - s;
}
s += t/n;
return (double)s ;
}
private:
const VEC_TYPE& object ;
};
} // sugar
template <bool NA, typename T>
inline sugar::Mean<REALSXP,NA,T> mean(const VectorBase<REALSXP,NA,T>& t) {
return sugar::Mean<REALSXP,NA,T>(t);
}
template <bool NA, typename T>
inline sugar::Mean<INTSXP,NA,T> mean(const VectorBase<INTSXP,NA,T>& t) {
return sugar::Mean<INTSXP,NA,T>(t);
}
template <bool NA, typename T>
inline sugar::Mean<CPLXSXP,NA,T> mean(const VectorBase<CPLXSXP,NA,T>& t) {
return sugar::Mean<CPLXSXP,NA,T>(t);
}
template <bool NA, typename T>
inline sugar::Mean<LGLSXP,NA,T> mean(const VectorBase<LGLSXP,NA,T>& t) {
return sugar::Mean<LGLSXP,NA,T>(t);
}
} // Rcpp
#endif
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