Eigenvectorfun: Eigenvector Imputation Function (Internal)
In geneticae: Statistical Tools for the Analysis of Multi Environment Agronomic Trials
Eigenvectorfun R Documentation
Eigenvector Imputation Function (Internal)
Description
Internal function for GxE imputation using the Krzanowski (1988) eigenvector
approach with a leave-one-out strategy.
Usage
Eigenvectorfun(X, f)
Arguments
X
A matrix with missing values (NAs).
f
Number of components (rank) to use for the reconstruction.
Value
A list with the number of iterations, convergence status,
final rank used, and the imputed matrix.
geneticae documentation built on April 17, 2026, 1:07 a.m.
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.
| Eigenvectorfun | R Documentation |
Eigenvector Imputation Function (Internal)
Description
Internal function for GxE imputation using the Krzanowski (1988) eigenvector approach with a leave-one-out strategy.
Usage
Eigenvectorfun(X, f)
Arguments
X |
A matrix with missing values (NAs). |
f |
Number of components (rank) to use for the reconstruction. |
Value
A list with the number of iterations, convergence status, final rank used, and the imputed matrix.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.