varianceExplained: Compute the explained variance
In LabexCortexBioinformatics/LxCxUtils: Utils Function for Labex Cortex Bioinformatics Platform
varianceExplained R Documentation
Compute the explained variance
Description
This function uses the standard deviation and the total variance
computed by Seurat when creating a PCA reduction dimension,
and computes the explained variance for each of the PCs.
It then adds the variance explained to the Seurat object,
under Seurat@reductions$pca@misc$variance_explained
Usage
varianceExplained(seur, reduction_name = "pca")
Arguments
seur
The Seurat object
reduction_name
The name of the reduction to use. Default to "pca"
Value
The Seurat object with variance_explained in misc of dimreduc used
LabexCortexBioinformatics/LxCxUtils documentation built on Aug. 2, 2022, 6:23 a.m.
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| varianceExplained | R Documentation |
Compute the explained variance
Description
This function uses the standard deviation and the total variance computed by Seurat when creating a PCA reduction dimension, and computes the explained variance for each of the PCs. It then adds the variance explained to the Seurat object, under Seurat@reductions$pca@misc$variance_explained
Usage
varianceExplained(seur, reduction_name = "pca")
Arguments
seur |
The Seurat object |
reduction_name |
The name of the reduction to use. Default to "pca" |
Value
The Seurat object with variance_explained in misc of dimreduc used
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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