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gbtest - Online in the Cloud

Run gbtest in OnWorks free hosting provider over Ubuntu Online, Fedora Online, Windows online emulator or MAC OS online emulator

This is the command gbtest that can be run in the OnWorks free hosting provider using one of our multiple free online workstations such as Ubuntu Online, Fedora Online, Windows online emulator or MAC OS online emulator

PROGRAM:

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 (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

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

-F specify the input fields separators [" \t"]

-v verbosity: 0 just results, 1 headings, 2+ description [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'

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