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 dist' tests expect data in [0,1] from a distribution function. '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 dist
-
Kolmogorov-Smirnov tests on cumulated data
- W2,A2,U2
-
1 dist 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 <[email protected]>
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.