CalcVarExpRatio: Calculate the ratio of variance explained by ICA or PCA to...
In mayer-lab/SeuratForMayer2018: Seurat : R Toolkit for Single Cell Genomics
Description
Usage
Arguments
Value
Description
Calculate the ratio of variance explained by ICA or PCA to CCA
Usage
1
CalcVarExpRatio(object, reduction.type = "pca", grouping.var, dims.use)
Arguments
object
Seurat object
reduction.type
type of dimensional reduction to compare to CCA (pca,
pcafast, ica)
grouping.var
variable to group by
dims.use
Vector of dimensions to project onto (default is the 1:number
stored for cca)
Value
Returns Seurat object with ratio of variance explained stored in
object@meta.data$var.ratio
mayer-lab/SeuratForMayer2018 documentation built on May 25, 2019, 9:34 p.m.
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Description Usage Arguments Value
Description
Calculate the ratio of variance explained by ICA or PCA to CCA
Usage
1 | CalcVarExpRatio(object, reduction.type = "pca", grouping.var, dims.use)
|
Arguments
object |
Seurat object |
reduction.type |
type of dimensional reduction to compare to CCA (pca, pcafast, ica) |
grouping.var |
variable to group by |
dims.use |
Vector of dimensions to project onto (default is the 1:number stored for cca) |
Value
Returns Seurat object with ratio of variance explained stored in object@meta.data$var.ratio
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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