Provided by: gbutils_5.7.1-1_amd64
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 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 <email@example.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.