plot_pcvariance: Plot PCA variance
In hesselberthlab/scrunchy: Single Cell Reconstruction of Functional Heterogeneity
Description
Usage
Arguments
See Also
Examples
Description
Plots proportion of variance explained by computed prinicpal components
Usage
1
plot_pcvariance(fsce, n_dims = NULL, expt = "rnaseq")
Arguments
fsce
An object of class FunctionalSingleCellExperiment.
n_dims
specify the number of dimensions from "dr" to use for
clustering, defaults to all dimensions
expt
Data to use for calculating variable features
(default is rnaseq). Must be present in names(fsce).
See Also
Other plot fuctions: add_stats,
plot_heatmap
Examples
1
hesselberthlab/scrunchy documentation built on Nov. 11, 2019, 2:29 p.m.
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Description Usage Arguments See Also Examples
Description
Plots proportion of variance explained by computed prinicpal components
Usage
1 | plot_pcvariance(fsce, n_dims = NULL, expt = "rnaseq")
|
Arguments
fsce |
An object of class |
n_dims |
specify the number of dimensions from "dr" to use for clustering, defaults to all dimensions |
expt |
Data to use for calculating variable features
(default is |
See Also
Other plot fuctions: add_stats,
plot_heatmap
Examples
1 |
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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