DMGA-MC Statistics and Processor object. More...

#include "us_dmga_mc_stats.h"

Static Public Member Functions
static int	build_imodels (US_Model &, QVector< US_Model > &)
	Build a vector of iteration models from a DMGA-MC model. More...

static void	build_rmsd_stats (int, QVector< US_Model > &, QVector< double > &)
	Build RMSD statistics from iteration models. More...

static int	build_model_stats (int, QVector< US_Model > &, QVector< QVector< double > > &)
	Build Model attribute statistics from iteration models. More...

static bool	compute_statistics (int, QVector< double > &, QVector< double > &, QVector< double > &)
	Compute the statistical values for a vector of values. More...

static int	build_used_model (const QString, const int, QVector< US_Model > &, US_Model &)
	Build used model of specified type from iteration models. More...

Detailed Description

DMGA-MC Statistics and Processor object.

This class consists of static functions for manipulation of a DMGA-MC model, including producing an iteration models vector and statistics related to those models. Statistics for each attribute are: [ 0 ] = minimum [ 1 ] = maximum [ 2 ] = mean [ 3 ] = median [ 4 ] = skew [ 5 ] = kurtosis [ 6 ] = lower mode [ 7 ] = upper mode [ 8 ] = mode center [ 9 ] = 95% confidence interval low [ 10 ] = 95% confidence interval high [ 11 ] = 99% confidence interval low [ 12 ] = 99% confidence interval high [ 13 ] = standard deviation [ 14 ] = standard error [ 15 ] = variance [ 16 ] = correlation coefficient [ 17 ] = number of bins [ 18 ] = distribution area [ 19 ] = 95% confidence limit low [ 20 ] = 95% confidence limit high [ 21 ] = 99% confidence limit low [ 22 ] = 99% confidence limit high

Definition at line 41 of file us_dmga_mc_stats.h.

Member Function Documentation

int US_DmgaMcStats::build_imodels	(	US_Model &	model,
		QVector< US_Model > &	imodels
	)

static

Build a vector of iteration models from a DMGA-MC model.

Parameters

model	Input DMGA-MC model
imodels	Output vector of iteration models

Returns: Number of MC iterations and vector elements

Definition at line 9 of file us_dmga_mc_stats.cpp.

int US_DmgaMcStats::build_model_stats	(	int	niters,
		QVector< US_Model > &	imodels,
		QVector< QVector< double > > &	astats
	)

static

Build Model attribute statistics from iteration models.

Parameters

niters	Number of MC iterations
imodels	Vector of iteration models
astats	Vector of vectors of iteration attribute statistics

Returns: Number of total attributes analyzed

Definition at line 78 of file us_dmga_mc_stats.cpp.

void US_DmgaMcStats::build_rmsd_stats	(	int	niters,
		QVector< US_Model > &	imodels,
		QVector< double > &	rstats
	)

static

Build RMSD statistics from iteration models.

Parameters

niters	Number of MC iterations
imodels	Vector of iteration models
rstats	Vector of doubles holding iteration statistics

Definition at line 55 of file us_dmga_mc_stats.cpp.

int US_DmgaMcStats::build_used_model	(	const QString	smtype,
		const int	iter,
		QVector< US_Model > &	imodels,
		US_Model &	umodel
	)

static

Build used model of specified type from iteration models.

Parameters

smtype	Used model type ("model","mean","median","mode")
iter	Iteration number (1-niters) if "model" (iter.) used
imodels	Vector of iteration models
umodel	Returned composed used model

Returns: Statistics index used (-iter,2,3,8)

Definition at line 372 of file us_dmga_mc_stats.cpp.

bool US_DmgaMcStats::compute_statistics	(	int	nvals,
		QVector< double > &	vals,
		QVector< double > &	concs,
		QVector< double > &	stats
	)

static

Compute the statistical values for a vector of values.

Parameters

nvals	Number of values to analyze
vals	Vector of values to analyze
concs	Vector of concentrations (weights) for each value
stats	Vector of output statistics values (min,max,mean,...)

Returns: Boolean flag if values are fixed (all equal)

Definition at line 190 of file us_dmga_mc_stats.cpp.

The documentation for this class was generated from the following files:

Static Public Member Functions

Detailed Description

Member Function Documentation