DimElbowPlot: Quickly Pick Relevant Dimensions
In mayer-lab/SeuratForMayer2018: Seurat : R Toolkit for Single Cell Genomics
Description
Usage
Arguments
Value
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
2
DimElbowPlot(object, reduction.type = "pca", dims.plot = 20, xlab = "",
ylab = "", title = "")
Arguments
object
Seurat object
reduction.type
Type of dimensional reduction to plot data for
dims.plot
Number of dimensions to plot sd for
xlab
X axis label
ylab
Y axis label
title
Plot title
Value
Returns ggplot object
mayer-lab/SeuratForMayer2018 documentation built on May 25, 2019, 9:34 p.m.
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Description Usage Arguments Value
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 2 | DimElbowPlot(object, reduction.type = "pca", dims.plot = 20, xlab = "",
ylab = "", title = "")
|
Arguments
object |
Seurat object |
reduction.type |
Type of dimensional reduction to plot data for |
dims.plot |
Number of dimensions to plot sd for |
xlab |
X axis label |
ylab |
Y axis label |
title |
Plot title |
Value
Returns ggplot object
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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