Provided by: gbutils_5.7.0-1_amd64 
NAME
gbtest - Compute statistical tests on data
SYNOPSIS
gbtest [options] <tests list>
DESCRIPTION
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
W2,A2,U2
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^
LEV-MEAN
2+ samp Levene equality of variances using means
LEV-MED
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
OPTIONS
-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
EXAMPLES
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'
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 © 2001-2017 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.