le-backends: Linear Embedding Drivers

In sa-lee/sneezy: Interactively explore non-linear projections like t-SNE

Description

Linear Embedding Drivers

Usage

pca_exact(deferred = FALSE, fold = Inf)

pca_irlba(deferred = FALSE, fold = Inf, extra.work = 7, ...)

pca_random(deferred = FALSE, fold = Inf, ...)

Arguments

deferred	Logical scalar indicating whether centering/scaling should be deferred, see ?"BiocSingular-options".
fold	Numeric scalar specifying the minimum fold-difference for cross-product calculation, see ?"BiocSingular-options".
extra.work	Integer scalar, additional dimensionality of the workspace in runIrlbaSVD.
...	Additional arguments to pass to runIrlbaSVD or runRandomSVD. This should not include any named arguments in those functions.

Details

Different engines for computing linear embeddings (mostly PCA at this stage). Usually you won't need to interact with these functions directly.

Value

A BiocSingular::BiocSingularParam() object.

sa-lee/sneezy documentation built on Nov. 25, 2019, 12:38 p.m.