ElbowPlot: Quickly Pick Relevant Dimensions
In atakanekiz/Seurat3.0: Tools for Single Cell Genomics
Description
Usage
Arguments
Value
Examples
Description
Plots the standard deviations (or approximate singular values if running PCAFast)
of the principle components for easy identification of an elbow in the graph.
This elbow often corresponds well with the significant dims and is much faster to run than
Jackstraw
Usage
1
ElbowPlot(object, ndims = 20, reduction = "pca")
Arguments
object
Seurat object
ndims
Number of dimensions to plot standard deviation for
reduction
Reduction technique to plot standard deviation for
Value
A ggplot object
Examples
1
ElbowPlot(object = pbmc_small)
atakanekiz/Seurat3.0 documentation built on May 26, 2019, 2:33 a.m.
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Description Usage Arguments Value Examples
Description
Plots the standard deviations (or approximate singular values if running PCAFast) of the principle components for easy identification of an elbow in the graph. This elbow often corresponds well with the significant dims and is much faster to run than Jackstraw
Usage
1 | ElbowPlot(object, ndims = 20, reduction = "pca")
|
Arguments
object |
Seurat object |
ndims |
Number of dimensions to plot standard deviation for |
reduction |
Reduction technique to plot standard deviation for |
Value
A ggplot object
Examples
1 | ElbowPlot(object = pbmc_small)
|
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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