median_estimate( Expr, int bins, T min, T max [, T nan] )
[Double valued reductions]

Functions

template<class T > double ltl::mode_histogram (const MArray< T, 1 > &h, const double min, const double step, const int sum)
Helper class for median_estimate().
template<class Expr , int N> double ltl::median_estimate (const ExprBase< Expr, N > &e, const int bins, const typename Expr::value_type min, const typename Expr::value_type max, double *stepptr=NULL, int *sumptr=NULL)
template<class Expr , int N> double ltl::median_estimate (const ExprBase< Expr, N > &e, const int bins, const typename Expr::value_type min, const typename Expr::value_type max, const typename Expr::value_type nan, double *stepptr=NULL, int *sumptr=NULL)

Detailed Description

Return mode of a histogram of Expr (see histogram ( Expr, int bins, T min, T max [, T nan] ) below).

Function Documentation

template<class T >

double ltl::mode_histogram	(	const MArray< T, 1 > &	h,
		const double	min,
		const double	step,
		const int	sum
	)			`[inline]`

Helper class for median_estimate().

Return mode of a histogram of bins bins, starting at min, with step size step (see histogram ( Expr, int bins, T min, T max [, T nan] ) below). (Exactly: left boundary of bin holding the bisector of the histogram)

References ltl::count().

Referenced by ltl::median_estimate().

template<class Expr , int N>

double ltl::median_estimate	(	const ExprBase< Expr, N > &	e,
		const int	bins,
		const typename Expr::value_type	min,
		const typename Expr::value_type	max,
		double *	stepptr = `NULL`,
		int *	sumptr = `NULL`
	)			`[inline]`

References ltl::histogram(), ltl::mode_histogram(), and ltl::sum().