SVDwithMissing: SVD with missing values
In RefFreeEWAS: EWAS using Reference-Free DNA Methylation Mixture Deconvolution
Description
Usage
Arguments
Details
Value
Description
Compute singular value decomposition on a matrix with missing values, using a naive/simple method for imputing missing values by row-mean
Usage
1
Arguments
Y
Matrix for which to compute SVD.
Details
Computes singular value decomposition on a matrix with missing values, using a naive/simple method for imputing missing values by row-mean. Not recommended for matrices with very large numbers of missing values.
Value
singular value decomposition (as returned by svd function)
RefFreeEWAS documentation built on May 2, 2019, 5:52 a.m.
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Description Usage Arguments Details Value
Description
Compute singular value decomposition on a matrix with missing values, using a naive/simple method for imputing missing values by row-mean
Usage
1 |
Arguments
Y |
Matrix for which to compute SVD. |
Details
Computes singular value decomposition on a matrix with missing values, using a naive/simple method for imputing missing values by row-mean. Not recommended for matrices with very large numbers of missing values.
Value
singular value decomposition (as returned by svd function)
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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