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GBTEST(1) User Commands GBTEST(1)

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 © 2001-2018 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.

October 2018 gbtest 6.0.beta2