pca.getB: Low-dimensional approximation of data matrix X
In 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 - oversampling parameter (p) and number of iterations (q)
dist
distribution for generating random numbers, 'unif' or 'norm'
mdatools documentation built on March 6, 2026, 5:08 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 - oversampling parameter (p) and number of iterations (q) |
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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