ellipsoidTransform: Apply a normalisation transformation to vectors of data onto...
In AndrewLJackson/SIBER: Stable Isotope Bayesian Ellipses in R
View source: R/ellipsoidTransform.R
ellipsoidTransform R Documentation
Apply a normalisation transformation to vectors of data onto ellipsoids
Description
Takes a vector x and transforms the points onto the same geometry of
a normalised ellipse given by the inverse of the covariance matrix
SigSqrt and the location mu.
Usage
ellipsoidTransform(x, SigSqrt, mu)
Arguments
x
the vector of data points to be transformed
SigSqrt
the inverse of the covariance matrix
mu
the vector of means of the ellipse
Value
A vector of transformed data points
AndrewLJackson/SIBER documentation built on June 7, 2024, 3:21 a.m.
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View source: R/ellipsoidTransform.R
| ellipsoidTransform | R Documentation |
Apply a normalisation transformation to vectors of data onto ellipsoids
Description
Takes a vector x and transforms the points onto the same geometry of
a normalised ellipse given by the inverse of the covariance matrix
SigSqrt and the location mu.
Usage
ellipsoidTransform(x, SigSqrt, mu)
Arguments
x |
the vector of data points to be transformed |
SigSqrt |
the inverse of the covariance matrix |
mu |
the vector of means of the ellipse |
Value
A vector of transformed data points
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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