GPA: Generalised Procrustes Analysis of configurations
In pvermees/provenance: Statistical Toolbox for Sedimentary Provenance Analysis
GPA R Documentation
Generalised Procrustes Analysis of configurations
Description
Given a number of (2D) configurations, this function uses a
combination of transformations (reflections, rotations,
translations and scaling) to find a ‘consensus’ configuration which
best matches all the component configurations in a least-squares
sense.
Usage
GPA(X, scale = TRUE)
Arguments
X
a list of dissimilarity matrices
scale
boolean flag indicating if the transformation should
include the scaling operation
Value
a two column vector with the coordinates of the group
configuration
See Also
procrustes
pvermees/provenance documentation built on Feb. 5, 2024, 4:50 a.m.
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| GPA | R Documentation |
Generalised Procrustes Analysis of configurations
Description
Given a number of (2D) configurations, this function uses a combination of transformations (reflections, rotations, translations and scaling) to find a ‘consensus’ configuration which best matches all the component configurations in a least-squares sense.
Usage
GPA(X, scale = TRUE)
Arguments
X |
a list of dissimilarity matrices |
scale |
boolean flag indicating if the transformation should include the scaling operation |
Value
a two column vector with the coordinates of the group configuration
See Also
procrustes
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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