calculate.full.transformation: Calculate a mirroring, then a pair of affine transformations
In alexanderbates/deformetricar: R wrapper for elements of the Deformetrica registration tool
Description
Usage
Arguments
Value
Description
Calculates a mirroring transformation, then a rigid, then a non-rigid affine transformation on a given 3D R object, or
one(s) saved as RDS files By default, the mirroring occurs across the X axis of the provided data.
Usage
1
2
calculate.full.transformation(objs = system.file("extdata/point_objects/",
package = "deformetricar"), pattern = ".rds$", ...)
Arguments
objs
An R object () or the location of (an) R object(s) for the basis of calculating the transformation matrices.
Defaults to a set of files describing key neuroanatomical structures of the L1 larval central nervous system.
pattern
search term for RDS files to read in the given location.
...
additional arguments eventually passed to: trafoicpmat mirrormat
Value
a list of transformation matrices
alexanderbates/deformetricar documentation built on May 11, 2019, 11:26 p.m.
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Description Usage Arguments Value
Description
Calculates a mirroring transformation, then a rigid, then a non-rigid affine transformation on a given 3D R object, or one(s) saved as RDS files By default, the mirroring occurs across the X axis of the provided data.
Usage
1 2 | calculate.full.transformation(objs = system.file("extdata/point_objects/",
package = "deformetricar"), pattern = ".rds$", ...)
|
Arguments
objs |
An R object () or the location of (an) R object(s) for the basis of calculating the transformation matrices. Defaults to a set of files describing key neuroanatomical structures of the L1 larval central nervous system. |
pattern |
search term for RDS files to read in the given location. |
... |
additional arguments eventually passed to: |
Value
a list of transformation matrices
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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