pkstatascii

pkstatascii

program to calculate basic statistics from text file

SYNOPSIS

Usage: pkstatascii -i input [-c column]*

Options: [-size] [-rnd number [-dist function] [-rnda value -rndb value]] [-mean] [-median] [-var] [-skew] [-stdev] [-sum] [-mm] [-min] [-max] [-hist [-nbin value] [-rel] [-kde]] [-hist2d [-nbin value] [-rel] [-kde]] [-cor] [-rmse] [-reg] [-regerr]

Advanced options: [-srcmin value] [-srcmax value] [-fs separator] [-r startrow [-r endrow]] [-o [-t]] [–comment character]

Description

The utility pkstatascii calculates basic statistics of a data series in a text file.

Options

• use either -short or --long options (both --long=value and --long value are supported)
• short option -h shows basic options only, long option --help shows all options

  short	long	type	default	description
  i	input	std::string		name of the input text file
  c	column	int	0	column nr, starting from 0
  size	size	bool	false	sample size
  rnd	rnd	unsigned int	0	generate random numbers
  dist	dist	std::string	gaussian	distribution for generating random numbers, see http://www.gn/software/gsl/manual/gsl-ref_toc.html#TOC320 (only uniform and Gaussian supported yet)
  rnda	rnda	double	0	first parameter for random distribution (mean value in case of Gaussian)
  rndb	rndb	double	1	second parameter for random distribution (standard deviation in case of Gaussian)
  mean	mean	bool	false	calculate median
  median	median	bool	false	calculate median
  var	var	bool	false	calculate variance
  stdev	stdev	bool	false	calculate standard deviation
  skew	skewness	bool	false	calculate skewness
  kurt	kurtosis	bool	false	calculate kurtosis
  sum	sum	bool	false	calculate sum of column
  mm	minmax	bool	false	calculate minimum and maximum value
  min	min	bool	false	calculate minimum value
  max	max	bool	false	calculate maximum value
  hist	hist	bool	false	calculate histogram
  nbin	nbin	short		number of bins to calculate histogram
  rel	relative	bool	false	use percentiles for histogram to calculate histogram
  kde	kde	bool	false	Use Kernel density estimation when producing histogram. The standard deviation is estimated based on Silverman's rule of thumb
  hist2d	hist2d	bool	false	calculate 2-dimensional histogram based on two columns
  cor	correlation	bool	false	calculate Pearson produc-moment correlation coefficient between two columns (defined by -c <col1> -c <col2>
  rmse	rmse	bool	false	calculate root mean square error between two columns (defined by -c <col1> -c <col2>
  reg	regression	bool	false	calculate linear regression between two columns and get correlation coefficient (defined by -c <col1> -c <col2>
  regerr	regerr	bool	false	calculate linear regression between two columns and get root mean square error (defined by -c <col1> -c <col2>
  src_min	src_min	double		start reading source from this minimum value
  src_max	src_max	double		stop reading source from this maximum value
  fs	fs	char		field separator.
  r	range	int	0	rows to start/end reading. Use -r 1 -r 10 to read first 10 rows where first row is header. Use 0 to read all rows with no header.
  o	output	bool	false	output the selected columns
  t	transpose	bool	false	transpose input ascii vector (use in combination with –output)
  comment	comment	char	#	comment character

  Usage: pkstatascii -i input [-c column]*