ds.svd: Singular value decomposition (SVD)
In isglobal-brge/dsMLClient: DataSHIELD client site machine learning functions
ds.svd R Documentation
Singular value decomposition (SVD)
Description
Non-disclosive SVD on pooled data
Usage
ds.svd(x, method.block = "fast", ncomp = 2, datasources = NULL)
Arguments
x
character Name of the data frame on the server that has the dataset
method.block
character (default "fast") Method of the SVD calculation. "fast"
to do a truncated SVD of the first ncomp components, "full" to do the complete SVD calculation
ncomp
numeric (default 2) Number of components to calculate when method = "fast"
datasources
a list of DSConnection-class (default NULL) objects obtained after login
Value
list with:
-d numeric: singular values of x, sorted decreasingly
-u numeric data frame:left singular vectors
isglobal-brge/dsMLClient documentation built on March 14, 2023, 1:59 p.m.
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| ds.svd | R Documentation |
Singular value decomposition (SVD)
Description
Non-disclosive SVD on pooled data
Usage
ds.svd(x, method.block = "fast", ncomp = 2, datasources = NULL)
Arguments
x |
|
method.block |
|
ncomp |
|
datasources |
a list of |
Value
list with:
-d numeric: singular values of x, sorted decreasingly
-u numeric data frame:left singular vectors
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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