propVarPCA: Variance explained by each principal component.
In NMikolajewicz/scMiko: scRNAseq analysis functions. Developed using Seurat framework.
View source: R/utility_functions.R
propVarPCA R Documentation
Variance explained by each principal component.
Description
For given Seurat Object, retrieve principal components and compute proportion of explained variance.
Usage
propVarPCA(so, reduction.name = "pca")
Arguments
so
Seurat Object
reduction.name
Name of reduction to use. Default is 'pca'.
Value
data.frame summarize proportion of variance explained by each principal component
Author(s)
Nicholas Mikolajewicz
NMikolajewicz/scMiko documentation built on June 28, 2023, 1:41 p.m.
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.
View source: R/utility_functions.R
| propVarPCA | R Documentation |
Variance explained by each principal component.
Description
For given Seurat Object, retrieve principal components and compute proportion of explained variance.
Usage
propVarPCA(so, reduction.name = "pca")
Arguments
so |
Seurat Object |
reduction.name |
Name of reduction to use. Default is 'pca'. |
Value
data.frame summarize proportion of variance explained by each principal component
Author(s)
Nicholas Mikolajewicz
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.