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