fn.SVD: Perform SVD dimensionality reduction on covariates
In WMAP: Weighted Meta-Analysis with Pseudo-Populations
View source: R/other-functions.R
fn.SVD R Documentation
Perform SVD dimensionality reduction on covariates
Description
Perform SVD dimensionality reduction on covariates
Usage
fn.SVD(data, cutoff)
Arguments
data
Structured data list containing X (covariate matrix)
cutoff
Proportion of variance to retain (e.g., 0.6)
Value
Reduced-dimension covariate matrix with same dimensions as original
WMAP documentation built on Oct. 6, 2026, 1:07 a.m.
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View source: R/other-functions.R
| fn.SVD | R Documentation |
Perform SVD dimensionality reduction on covariates
Description
Perform SVD dimensionality reduction on covariates
Usage
fn.SVD(data, cutoff)
Arguments
data |
Structured data list containing X (covariate matrix) |
cutoff |
Proportion of variance to retain (e.g., 0.6) |
Value
Reduced-dimension covariate matrix with same dimensions as original
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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