## 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 (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
- 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
**-F**- specify the input fields separators [" \t"]
**-v**- verbosity: 0 just results, 1 headings, 2+ description [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 <[email protected]>

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

## COPYRIGHT

Copyright © 2001-2015 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.