pca_naive: Basic PCA.
In dcgerard/vicar: Various Ideas for Confounder Adjustment in Regression
Description
Usage
Arguments
Author(s)
Description
Glorified truncated SVD. The variance estimates are just the
column-wise mean-squares, except I divide by nrow(Y) - r
rather than by nrow(Y). I allow r = 0.
Usage
1
pca_naive(Y, r)
Arguments
Y
A matrix of numerics. The data.
r
the rank.
Author(s)
David Gerard
dcgerard/vicar documentation built on July 7, 2021, 1:08 p.m.
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Description Usage Arguments Author(s)
Description
Glorified truncated SVD. The variance estimates are just the
column-wise mean-squares, except I divide by nrow(Y) - r
rather than by nrow(Y). I allow r = 0.
Usage
1 | pca_naive(Y, r)
|
Arguments
Y |
A matrix of numerics. The data. |
r |
the rank. |
Author(s)
David Gerard
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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