Provided by: gbutils_5.7.1-1_amd64 bug


       gbtest - Compute statistical tests on data


       gbtest [options] <tests list>


       Compute  statistical  tests  on data. Each test is specified by a unique name and optional
       parameters follows, separated by commas. Depending on the test, one, two or three  columns
       of data are expected. '1 sample' tests expect a single columns. Test on 'pairs' expect two
       columns of equal length. Test on '2 samples' expect  two  columns  of  data,  possibly  of
       different  length.  Test  on 2+ and 3+ samples expect a varying number of columns. If more
       columns are provided, the test is repeated for any column in the case of  1  sample  test,
       and  any  couple of columns in the case of 2 sample tests. In the last case, the output is
       expressed in matrix format, with estimated statistics on the lower triangle  and  p-scores
       (if  requested)  on the upper. The removal of 'nan' entries is automatic, and is performed
       consistently with the nature of the test.

       Tests typically assume 1, 2 or 3+ samples. Available tests are:

       D+,D-,D,V 1 samp
              Kolmogorov-Smirnov tests on cumulated data

              1 samp   Cramer-von Mises tests on cumulated data

       CHI2-1 1 samp   Chi-Sqrd, 1 samp. 2nd column: th. prob.

       WILCO  1 samp   Wilcoxon signed-rank test (mode=0)

       TS     1 samp   Student's T (mean=0)

       TR-TP  1 samp   Test of randomness: turning points

       TR-DS  1 samp   Test of randomness: difference sign

       TR-RT  1 samp   Test of randomness: rank test

       R      pairs    Pearson's correlation coefficient

       RHO    pairs    Spearman's Rho rank correlation

       TAU    pairs    Kendall's Tau correlation

       CHI2-2 pairs    Chi-Sqrd, 2 samples

       TP     pairs    Student's T with paired samples

       WILCO2 pairs    Wilcoxon test on paired samples

       KS     2 samp   Kolmogorov-Smirnov test

       T      2 samp   Student's T with same variances

       TH     2 samp   Student's T with different variances

       F      2 samp   F-Test for different variances

       WMW    2 samp   Wilcoxon-Mann-Whitney U

       FP     2 samp   Fligner-Policello standardized U^

              2+ samp  Levene equality of variances using means

              2+ samp  Levene equality of variances using medians

       KW     3+ samp  Kruscal-Wallis test on 3+ samples

       CHI2-N 3+ samp  Multi-columns contingency table analysis


       -p     compute associated significance

       -s     input data are already sorted in ascending order

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

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

       -v     verbosity: 0 none, 1 headings, 2+ description (default 0)

       -h     this help


       gbtest FP < file
              compute the Fligner-Policello test  on  the  columns  of  'file',  considering  all
              possible pairings.

       gbtest KW -p < file
              compute  the Kruscal-Wallis test and its p-score on the first three columns of data
              in 'file'


       Written by Giulio Bottazzi


       Report bugs to <>

       Package home page <>


       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.