/*!
Insert a row vector.
\param i : Index of the first element to introduce. This index starts from 0.
\param v : Row vector to insert.
The following example shows how to use this function:
\code
#include <visp/vpRowVector.h>
int main()
{
vpRowVector v(4);
for (unsigned int i=0; i < v.size(); i++)
v[i] = i;
std::cout << "v: " << v << std::endl;
vpRowVector w(2);
for (unsigned int i=0; i < w.size(); i++)
w[i] = i+10;
std::cout << "w: " << w << std::endl;
v.insert(1, w);
std::cout << "v: " << v << std::endl;
} \endcode
It produces the following output:
\code
v: 0 1 2 3
w: 10 11
v: 0 10 11 3
\endcode
*/
void vpRowVector::insert(unsigned int i, const vpRowVector &v)
{
if (i+v.size() > this->size())
throw(vpException(vpException::dimensionError,
"Unable to insert (1x%d) row vector in (1x%d) row vector at position (%d)",
v.getCols(), colNum, i));
for (unsigned int j=0; j < v.size(); j++)
(*this)[i+j] = v[j];
}
/*!
Compute the median value of all the elements of the vector.
*/
double
vpRowVector::median(const vpRowVector &v)
{
if (v.data==NULL) {
throw(vpException(vpException::fatalError,
"Cannot compute mean value of an empty row vector"));
}
std::vector<double> vectorOfDoubles(v.size());
for(unsigned int i = 0; i < v.size(); i++) {
vectorOfDoubles[i] = v[i];
}
return vpMath::getMedian(vectorOfDoubles);
}
/*!
Compute the standard deviation value of all the elements of the vector.
*/
double
vpRowVector::stdev(const vpRowVector &v, const bool useBesselCorrection)
{
if (v.data==NULL) {
throw(vpException(vpException::fatalError,
"Cannot compute mean value of an empty row vector"));
}
double mean_value = mean(v);
double sum_squared_diff = 0.0;
for(unsigned int i = 0; i < v.size(); i++) {
sum_squared_diff += (v[i]-mean_value) * (v[i]-mean_value);
}
double divisor = (double) v.size();
if(useBesselCorrection && v.size() > 1) {
divisor = divisor-1;
}
return std::sqrt(sum_squared_diff / divisor);
}
