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 T, int N> double median_estimate (const MArray< T, N > &a, const int bins, const T min, const T max)
• template<class Expr, int N> double median_estimate (TExpr< Expr, N > e, const int bins, const typename TExpr< Expr, N >::value_type min, const typename TExpr< Expr, N >::value_type max)
• template<class T, int N> double median_estimate (const MArray< T, N > &a, const int bins, const T min, const T max, const T nan)
• template<class Expr, int N> double median_estimate (TExpr< Expr, N > e, const int bins, const typename TExpr< Expr, N >::value_type min, const typename TExpr< Expr, N >::value_type max, const typename TExpr< Expr, N >::value_type nan)

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Detailed Description

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

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Function Documentation

template<class T> double mode_histogram (  const MArray< T, 1 > &  h, const double  min, const double  step, const int  sum )

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)

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