create_simMat: Generate similarity matrix with uniform confusion rate to...
In huangyh09/DCATS: Differential Composition Analysis Transformed by a Similarity matrix
View source: R/create_simMat.R
create_simMat R Documentation
Generate similarity matrix with uniform confusion rate to none-self clusters
Description
Create a similarity matrix assuming the misclassification error distribute
uniformly in all clusters
Usage
create_simMat(K, confuse_rate)
Arguments
K
A integer for number of cluster
confuse_rate
A float for confusion rate, uniformly to none-self
clusters
Value
a similarity matrix with uniform confusion with other cluster
Examples
create_simMat(4, 0.1)
huangyh09/DCATS documentation built on Nov. 25, 2022, 7:02 a.m.
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View source: R/create_simMat.R
| create_simMat | R Documentation |
Generate similarity matrix with uniform confusion rate to none-self clusters
Description
Create a similarity matrix assuming the misclassification error distribute uniformly in all clusters
Usage
create_simMat(K, confuse_rate)
Arguments
K |
A integer for number of cluster |
confuse_rate |
A float for confusion rate, uniformly to none-self clusters |
Value
a similarity matrix with uniform confusion with other cluster
Examples
create_simMat(4, 0.1)
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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