bamr::process Class Reference

Processing MCMC data from bamr. More...

Detailed Description

Definition at line 63 of file process.h.

#include <process.h>

Public Member Functions
	process ()
	Create the process object.
void	run (int argc, char *argv[])
	Main public interface.

Protected Member Functions
virtual void	setup_cli ()
	Desc.
Commands
int	auto_corr (std::vector< std::string > &sv, bool itive_com)
	Create a table of autocorrelation data from a specified column.
int	xlimits (std::vector< std::string > &sv, bool itive_com)
	Set limits for the x-axis.
int	ylimits (std::vector< std::string > &sv, bool itive_com)
	Set limits for the y-axis.
int	hist (std::vector< std::string > &sv, bool itive_com)
	Create a histogram from a specified column. More...
int	hist2 (std::vector< std::string > &sv, bool itive_com)
	Create a two-dimensional histogram from two user-specified columns.
int	hist_set (std::vector< std::string > &sv, bool itive_com)
	Create a set of histograms from a set of columns in the bamr MCMC output.
int	combine (std::vector< std::string > &sv, bool itive_com)
	Combine several bamr output files.
int	contours (std::vector< std::string > &sv, bool itive_com)
	Specify which contour levels to use.

Protected Attributes
o2scl::cli::parameter_double	p_xscale
o2scl::cli::parameter_double	p_yscale
o2scl::cli::parameter_bool	p_errors
o2scl::cli::parameter_bool	p_logx
o2scl::cli::parameter_bool	p_logy
o2scl::cli::parameter_bool	p_logz
o2scl::cli::parameter_int	p_hist_size
o2scl::cli::parameter_int	p_n_blocks
o2scl::cli::parameter_int	p_line_start
o2scl::cli::parameter_int	p_verbose
o2scl::cli::parameter_string	p_constraint
o2scl::cli	cl
Command-line parameters
int	verbose
	Verbosity (default 1)
int	line_start
	Ignore all lines before start.
double	xscale
	Scale for x-axis.
double	yscale
	Scale for y-axis.
bool	logx
	If true, use a logarithmic x scale.
bool	logy
	If true, use a logarithmic y scale.
bool	logz
	If true, use a logarithmic z scale.
bool	errors
	If true, plot errors in 1d.
int	hist_size_int
	Histogram size.
int	n_blocks
	Number of blocks.
Axis limits from 'xlimits' and 'ylimits'
bool	xset
	If true, x limits are set.
double	user_xlow
	Lower x value.
double	user_xhigh
	Upper x value.
bool	yset
	If true, y limits are set.
double	user_ylow
	Lower y value.
double	user_yhigh
	Upper y value.
Const confidence limits
const double	one_sigma
	The one-sigma limit of a normal distribution, 0.6827.
const double	two_sigma
	The two-sigma limit of a normal distribution, 0.9545.
const double	three_sigma
	The three-sigma limit of a normal distribution, 0.9973.
Other class member data
std::string	constraint
	Constraint to apply to the data.
std::vector< double >	cont_levels
	Contour levels set in 'contours'.
o2scl::format_float	ff
	Formatter for floating point numbers.

Member Function Documentation

int bamr::process::hist ( std::vector< std::string > &  sv, bool  itive_com  )

protected

Idea for Future:

This function isn't that efficient. It first reads all of the data into one long vector and then reparses the long vector into a set of o2scl::expval_scalar objects. The averages and errors for the o2scl::expval_scalar objects are stored into a table, and the table is written to the output file. This could be improved.

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

• process.h