opt.pcs.plot: Find optimal number of PCs for clustering
In iCellR: Analyzing High-Throughput Single Cell Sequencing Data
Description
Usage
Arguments
Value
Description
This function takes an object of class iCellR and finds optimal number of PCs for clustering.
Usage
1
opt.pcs.plot(x = NULL, pcs.in.plot = 50)
Arguments
x
An object of class iCellR.
pcs.in.plot
Number of PCs to show in plot, defult = 50.
Value
An object of class iCellR.
iCellR documentation built on Oct. 9, 2021, 5:07 p.m.
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Description Usage Arguments Value
Description
This function takes an object of class iCellR and finds optimal number of PCs for clustering.
Usage
1 | opt.pcs.plot(x = NULL, pcs.in.plot = 50)
|
Arguments
x |
An object of class iCellR. |
pcs.in.plot |
Number of PCs to show in plot, defult = 50. |
Value
An object of class iCellR.
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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