sub-.DimReduc: Get Feature Loadings

In mojaveazure/seurat-object: Data Structures for Single Cell Data

Get Feature Loadings

Description

Pull feature loadings from a dimensional reduction

Usage

## S3 method for class 'DimReduc'
x[i, j, drop = FALSE, ...]

Arguments

x	A DimReduc object
i	Feature identifiers or indices
j	Dimension identifiers or indices
drop	Coerce the result to the lowest possible dimension; see drop for further details
...	Arguments passed to other methods

Details

[ does not distinguish between projected and unprojected feature loadings; to select whether projected or unprojected loadings should be pulled, please use Loadings

Value

Feature loadings for features i and dimensions j

See Also

Loadings

Dimensional reduction object, validity, and interaction methods CreateDimReducObject(), DimReduc-class, DimReduc-validity, [[.DimReduc(), dim.DimReduc(), merge.DimReduc(), print.DimReduc(), subset.DimReduc()

Examples

pca <- pbmc_small[["pca"]]
pca[1:10, 1:5]

mojaveazure/seurat-object documentation built on Dec. 13, 2024, 9:23 a.m.