kaiser: Kaiser method to determine number of important SVs
In bhattacharya-a-bt/DeCompress: Tissue compartment deconvolution for targeted RNA panels
Description
Usage
Arguments
Value
Description
The function estimates the SV for the elbow in a scree plot
from the vector of singular values
Usage
1
kaiser(varpc, low = 0.08, max.pc = 0.9)
Arguments
varpc
vector, singular values of a matrix
low
numeric, lower bound of cumulative var explained
max.pc
numeric, upper bound of cumulative var explained
Value
number of cell types
bhattacharya-a-bt/DeCompress documentation built on March 28, 2021, 3:52 a.m.
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Description Usage Arguments Value
Description
The function estimates the SV for the elbow in a scree plot from the vector of singular values
Usage
1 | kaiser(varpc, low = 0.08, max.pc = 0.9)
|
Arguments
varpc |
vector, singular values of a matrix |
low |
numeric, lower bound of cumulative var explained |
max.pc |
numeric, upper bound of cumulative var explained |
Value
number of cell types
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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