euclw: euclw
In amaendle/mvTargetOpt: Multivariate multi-target optimization
Description
Usage
Arguments
Value
Description
Takes a matrix/data.frame x with each coloumn having the scores corresponding to a principal component.
Computes weights as needed in 1d regression models,
i.e. returns for each of the 1d-projections on the PC the Euclidean distances from the n-dimensional point in the n-space.
Usage
1
euclw(x, normalize = T, sto = T)
Arguments
x
matrix, data.frame
normalize
boolean, TRUE for normalized weights.
sto
boolean, if TRUE ignore higher principal component coordinates.
Value
matrix
amaendle/mvTargetOpt documentation built on June 12, 2020, 5:57 p.m.
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Description Usage Arguments Value
Description
Takes a matrix/data.frame x with each coloumn having the scores corresponding to a principal component.
Computes weights as needed in 1d regression models,
i.e. returns for each of the 1d-projections on the PC the Euclidean distances from the n-dimensional point in the n-space.
Usage
1 | euclw(x, normalize = T, sto = T)
|
Arguments
x |
matrix, data.frame |
normalize |
boolean, |
sto |
boolean, if |
Value
matrix
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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