opt.pcs.plot: Find optimal number of PCs for clustering
In rezakj/iCellR: Analyzing High-Throughput Single Cell Sequencing Data
opt.pcs.plot R Documentation
Find optimal number of PCs for clustering
Description
This function takes an object of class iCellR and finds optimal number of PCs for clustering.
Usage
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.
rezakj/iCellR documentation built on March 29, 2024, 6:55 p.m.
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.
| opt.pcs.plot | R Documentation |
Find optimal number of PCs for clustering
Description
This function takes an object of class iCellR and finds optimal number of PCs for clustering.
Usage
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.