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Man Pages
v.normal(1) Grass User's Manual v.normal(1)

v.normal - Tests for normality for vector points.

vector, statistics, points, point pattern

v.normal
 
v.normal --help
 
v.normal [-rl] map=name [layer=string] tests=range[,range,...] column=name [--help] [-- verbose] [--quiet] [--ui]

-r
 
Use only points in current region
-l
 
Lognormality instead of normality
--help
 
Print usage summary
--verbose
 
Verbose module output
--quiet
 
Quiet module output
--ui
 
Force launching GUI dialog

map=name [required]
 
Name of vector map
 
Or data source for direct OGR access
layer=string
 
Layer number or name
 
Vector features can have category values in different layers. This number determines which layer to use. When used with direct OGR access this is the layer name.
 
Default: 1
tests=range[,range,...] [required]
 
Lists of tests (1-15)
 
E.g. 1,3-8,13
column=name [required]
 
Name of attribute column

v.normal computes tests of normality on vector points.

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.
1
Sample skewness and kurtosis
2
Geary’s a-statistic and an approximate normal transformation
3
Extreme normal deviates
4
D’Agostino’s D-statistic
5
Modified Kuiper V-statistic
6
Modified Watson U^2-statistic
7
Durbin’s Exact Test (modified Kolmogorov)
8
Modified Anderson-Darling statistic
9
Modified Cramer-Von Mises W^2-statistic
10
Kolmogorov-Smirnov D-statistic (modified for normality testing)
11
Chi-Square test statistic (equal probability classes) and the number of degrees of freedom
12
Shapiro-Wilk W Test
13
Weisberg-Binghams W’’ (similar to Shapiro-Francia’s W’)
14
Royston’s extension of W for large samples
15
Kotz Separate-Families Test for Lognormality vs. Normality

Compute 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:
 
g.region raster=elevation -p
v.random random n=200
v.db.addtable random column="elev double precision"
v.what.rast random rast=elevation column=elev
v.normal random tests=1-3,14 column=elev

v.univar

James Darrell McCauley <darrell@mccauley-usa.com>,
 
when he was at: Agricultural Engineering Purdue University
Last changed: $Date: 2016-11-14 00:05:32 +0100 (Mon, 14 Nov 2016) $

Available at: v.normal source code (history)
Main index | Vector index | Topics index | Keywords index | Graphical index | Full index
© 2003-2018 GRASS Development Team, GRASS GIS 7.4.3 Reference Manual
GRASS 7.4.3

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