Definition

Provides methods to compute mean, standard deviation and variance of a given sample.

Examples

use benchmark_statistics
 
type(stats) :: s
integer     :: i
real(r8)    :: array(10)
 
do i = 1, 10
     array(i) = real(i, r8)
end do
 
call s%compute(array)
write(*, '(A)') str(s%mean, '(f12.3)') // ' ms'//' +/- '//str(s%stddev, '(f12.3)') // ' ms'

Remarks

The statistics computed at the moment are limited to mean, min, max and standard deviations. The implementation is quite naive and serve only the purpose of the current library.

: Constructors

Initializes a new instance of the stats class

stats(integer, real(r8), real(r8), real(r8))

type(stats) :: s

Examples

use benchmark_statistics
 
type(stats) :: s

Remarks

Definition at line 48 of file Statistics.f90.

The documentation for this module was generated from the following file:

Statistics.f90

Variables
real(r8), public	mean = 0.0_r8
	Mean value of the sample.

real(r8), public	min = 0.0_r8
	Minimal value of the sample.

real(r8), public	max = 0.0_r8
	Maximal value of the sample.

real(r8), public	stddev = 0.0_r8
	Standard deviation of the sample.

real(r8), public	variance = 0.0_r8
	Variance of the sample.

Methods

◆ compute()

procedure, pass(this) compute	(	class(stats), intent(inout)	this,
		real(r8), dimension(:), intent(in)	y )

Parameters

[in,out]	this	bound argument
[in]	y	Sample array