Provided by: gbutils_6.3-1build1_amd64 bug

NAME

       gbstat - Basic descriptive statistics of data

SYNOPSIS

       gbstat [options]

DESCRIPTION

       Sample   statistics.   Compute  mean,  standard  deviation,  skewness,  kurtosis,  average
       deviation, minimum, maximum, median (if option  -m  is  specified)  and  number  of  valid
       observations.  Option  -O  allows  one  to  select  specific  statistics.  With  option -t
       statistics are printed for each column of data separately. A header line is added with the
       meaning of the different columns.  The mode is computed using the Half-Sample method.

OPTIONS

       -m     add the sample median to the estimated statistics

       -t     print statistics for each column of input

       -s     short: mean std skew kurt adev min max (median) num

       -O     select output: mean,std,var, skew,kurt,adev,min,max,median,num,mode

       -o     set the output format (default '%12.6e')

       -F     specify the input fields separators (default " \t")

       -h this help

EXAMPLES

       gbstat -O median,kurt < file
              compute the median and the kurtosis of all the data in 'file'

       gbstat -ts < file
              compute  statistics  for each columns separately.  Since option -s is provided, the
              header is omitted.

AUTHOR

       Written by Giulio Bottazzi

REPORTING BUGS

       Report bugs to <gbutils@googlegroups.com>

       Package home page <http://cafim.sssup.it/~giulio/software/gbutils/index.html>

COPYRIGHT

       Copyright © 2001-2018 Giulio Bottazzi This program is free software; you can  redistribute
       it  and/or  modify  it  under  the  terms of the GNU General Public License (version 2) as
       published by the Free Software Foundation;

       This program is distributed in the hope that it will be useful, but WITHOUT ANY  WARRANTY;
       without  even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
       See the GNU General Public License for more details.