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# v.normal

## man page of v.normal

### v.normal: Tests for normality for points.

```NAME
v.normal  - Tests for normality for points.

KEYWORDS
vector, statistics

SYNOPSIS
v.normal
v.normal help
v.normal   [-rql]   map=string   tests=range[,range,...]  column=string
[--verbose]  [--quiet]

Flags:
-r
Use only points in current region

-q
Quiet

-l
lognormal

--verbose
Verbose module output

--quiet
Quiet module output

Parameters:
map=string
point vector defining sample points

tests=range[,range,...]
Lists of tests (1-15): e.g. 1,3-8,13

column=string
Attribute column

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.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.

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) \$

Full index

(C) 2003-2010 GRASS Development Team

V.NORMAL(1)
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