GS_process: Gram-Schmidt Process
In pedrocava/mathr: Sorted Implementations of Statistical Routines and Mathematical Functions
Description
Usage
Arguments
Value
Examples
Description
Applies the Gram-Schimdt Process to a set of vectors
Usage
1
GS_process(X, type = "orthogonal")
Arguments
X
a matrix of numerical vectors
type
Can be either "orthonormal" or "orthogonal". If "Orthonormal" then resulting vectores are all normalized to the standard basis.
Value
The resulting matrix
Examples
1
2
3
4
v = rnorm(n = 200)
A = matrix(v, ncol = 5)
B = GS_process(A)
pedrocava/mathr documentation built on May 29, 2020, 8:32 p.m.
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Description Usage Arguments Value Examples
Description
Applies the Gram-Schimdt Process to a set of vectors
Usage
1 | GS_process(X, type = "orthogonal")
|
Arguments
X |
a matrix of numerical vectors |
type |
Can be either "orthonormal" or "orthogonal". If "Orthonormal" then resulting vectores are all normalized to the standard basis. |
Value
The resulting matrix
Examples
1 2 3 4 | v = rnorm(n = 200)
A = matrix(v, ncol = 5)
B = GS_process(A)
|
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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