rigidbody

Applies a rigid body transformations to a landmark configuration 
or array

multivariate

Routines for the statistical analysis of landmark
shapes, including Procrustes analysis, graphical displays, principal
components analysis, permutation and bootstrap tests, thin-plate
spline transformation grids and comparing covariance matrices.
See Dryden, I.L. and Mardia, K.V. (2016). Statistical shape analysis,
with Applications in R (2nd Edition), John Wiley and Sons.

Ian Dryden

shapes

Statistical Shape Analysis

rigidbody function

<dl> <dt>X</dt>
<dd>k x m matrix, or k x m x n array 
where k = number of landmarks and m = no of dimensions and n is no of specimens</dd>
 
 <dt>transx</dt>
<dd>negative shift in x-coordinates</dd>
 
 <dt>transy</dt>
<dd>negative shift in y-coordinates</dd>
 
 <dt>transz</dt>
<dd>negative shift in z-coordinates</dd>
 
 <dt>thetax</dt>
<dd>Rotation about x-axis in degrees</dd> <dt>thetay</dt>
<dd>Rotation about y-axis in degrees</dd> <dt>thetaz</dt>
<dd>Rotation about z-axis in degrees</dd></dl>

Arguments

Author

Rigid body transformations — rigidbody

<dl>

 <dt>X</dt>
<dd>k x m matrix, or k x m x n array 
where k = number of landmarks and m = no of dimensions and n is no of specimens</dd>
 
 <dt>transx</dt>
<dd>negative shift in x-coordinates</dd>
 
 <dt>transy</dt>
<dd>negative shift in y-coordinates</dd>
 
 <dt>transz</dt>
<dd>negative shift in z-coordinates</dd>
 
 <dt>thetax</dt>
<dd>Rotation about x-axis in degrees</dd>

 <dt>thetay</dt>
<dd>Rotation about y-axis in degrees</dd>

 <dt>thetaz</dt>
<dd>Rotation about z-axis in degrees</dd>

</dl>

rigidbody: Rigid body transformations

Description

Usage

Value

Arguments

Author

Examples