v.normal(1)

NAME
v.normal

DESCRIPTION
v.normal computes tests of normality on vector points.

NOTES
The tests that v.normal performs are indexed below. The tests that are performed are specified by giving an index, ranges of indices, or multiple thereof. Sample skewness and kurtosis Geary's a-statistic and an approximate normal transformation Extreme normal deviates D'Agostino's D-statistic Modified Kuiper V-statistic Modified Watson U^2-statistic Durbin's Exact Test (modified Kolmogorov) Modified Anderson-Darling statistic Modified Cramer-Von Mises W^2-statistic Kolmogorov-Smirnov D-statistic (modified for normality testing) Chi-Square test statistic (equal probability classes) and the number of degrees of freedom Shapiro-Wilk W Test Weisberg-Binghams W'' (similar to Shapiro-Francia's W') Royston's extension of W for large samples Kotz Separate-Families Test for Lognormality vs. Normality

EXAMPLE
v.random random n=200
v.db.addtable random col="elev double precision"
v.what.rast random rast=elevation.10m col=elev
v.normal random tests=1-3,14 col=elev
computes the sample skewness and kurtosis, Geary's a-statistic and an approximate normal transformation, extreme normal deviates, and Royston's W for the random vector points.

SEE ALSO
v.univar

AUTHOR
James Darrell McCauley ,
when he was at: Agricultural Engineering Purdue University

Last changed: $Date: 2007-03-20 07:18:19 +0100 (Tue, 20 Mar 2007) $

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