1v.normal(1)                   Grass User's Manual                  v.normal(1)
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NAME

6       v.normal  - Tests for normality for points.
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KEYWORDS

9       vector, statistics
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SYNOPSIS

12       v.normal
13       v.normal help
14       v.normal   [-rql]   map=string   tests=range[,range,...]  column=string
15       [--verbose]  [--quiet]
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17   Flags:
18       -r
19           Use only points in current region
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21       -q
22           Quiet
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24       -l
25           lognormal
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27       --verbose
28           Verbose module output
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30       --quiet
31           Quiet module output
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33   Parameters:
34       map=string
35           point vector defining sample points
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37       tests=range[,range,...]
38           Lists of tests (1-15): e.g. 1,3-8,13
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40       column=string
41           Attribute column
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DESCRIPTION

44       v.normal computes tests of normality on vector points.
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NOTES

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

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62       v.random random n=200
63       v.db.addtable random col="elev double precision"
64       v.what.rast random rast=elevation.10m col=elev
65       v.normal random tests=1-3,14 col=elev
66         computes the sample skewness and kurtosis, Geary's a-statistic and an
67       approximate normal transformation, extreme normal deviates,  and  Roys‐
68       ton's W for the random vector points.
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SEE ALSO

71       v.univar
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AUTHOR

74       James Darrell McCauley ,
75       when he was at: Agricultural Engineering Purdue University
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77       Last changed: $Date: 2007-03-20 07:18:19 +0100 (Tue, 20 Mar 2007) $
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79       Full index
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81       © 2003-2008 GRASS Development Team
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85GRASS 6.3.0                                                        v.normal(1)
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