PlotEigengap: Plots eigenvalues to investigate the optimal number of...
In countland: Analysis of Biological Count Data, Especially from Single-Cell RNA-Seq
View source: R/countland_embed.R
PlotEigengap R Documentation
Plots eigenvalues to investigate the optimal number of clusters
Description
Plots eigenvalues to investigate the optimal number of clusters
Usage
PlotEigengap(C)
Arguments
C
countland object
Value
generates plot of eigenvalues by number of components
Examples
gold_path <- system.file("testdata", package = "countland", mustWork = TRUE)
gold.data <- Seurat::Read10X(data.dir = gold_path)
C <- countland(gold.data)
C <- Dot(C)
C <- Embed(C,n_components=5)
PlotEigengap(C)
countland documentation built on May 29, 2024, 7:13 a.m.
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View source: R/countland_embed.R
| PlotEigengap | R Documentation |
Plots eigenvalues to investigate the optimal number of clusters
Description
Plots eigenvalues to investigate the optimal number of clusters
Usage
PlotEigengap(C)
Arguments
C |
countland object |
Value
generates plot of eigenvalues by number of components
Examples
gold_path <- system.file("testdata", package = "countland", mustWork = TRUE)
gold.data <- Seurat::Read10X(data.dir = gold_path)
C <- countland(gold.data)
C <- Dot(C)
C <- Embed(C,n_components=5)
PlotEigengap(C)
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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