pca.getB: Low-dimensional approximation of data matrix X
In svkucheryavski/mdatools: Multivariate Data Analysis for Chemometrics
pca.getB R Documentation
Low-dimensional approximation of data matrix X
Description
Low-dimensional approximation of data matrix X
Usage
pca.getB(X, k = NULL, rand = NULL, dist = "unif")
Arguments
X
data matrix
k
rank of X (number of components)
rand
a vector with two values - number of iterations (q) and oversmapling parameter (p)
dist
distribution for generating random numbers, 'unif' or 'norm'
svkucheryavski/mdatools documentation built on Aug. 25, 2023, 12:27 p.m.
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| pca.getB | R Documentation |
Low-dimensional approximation of data matrix X
Description
Low-dimensional approximation of data matrix X
Usage
pca.getB(X, k = NULL, rand = NULL, dist = "unif")
Arguments
X |
data matrix |
k |
rank of X (number of components) |
rand |
a vector with two values - number of iterations (q) and oversmapling parameter (p) |
dist |
distribution for generating random numbers, 'unif' or 'norm' |
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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