gbtest(1) · carta

Usage

gbtest [options] <tests list>

Overview

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'

Releases

5 releases since Debian 9 (Stretch); the text changed 3 times.

-o since Debian 10 (Buster).