mbhc.multiple.cut: MBHC multiple
In navidfr/MBHC: Model-Based Hierarchical Clustering
Description
This function performs the clustering on multiple samples.
Usage
1
mbhc.multiple.cut(arg.data, x.el.cut = data.frame(), sampleNum = 1)
Arguments
arg.data, x.el.cut, sampleNum
Arg.data should be a dataframe with IDs in the last column. Each column correspond to a sample. X.el.cut is the output structure of mbhc.reduce which performs a prliminary clustering. it can be empty. SampleNum is the column of the primary sample that clustering needs to be run on.
navidfr/MBHC documentation built on May 30, 2019, 12:47 p.m.
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Description
This function performs the clustering on multiple samples.
Usage
1 | mbhc.multiple.cut(arg.data, x.el.cut = data.frame(), sampleNum = 1)
|
Arguments
arg.data, x.el.cut, sampleNum |
Arg.data should be a dataframe with IDs in the last column. Each column correspond to a sample. X.el.cut is the output structure of mbhc.reduce which performs a prliminary clustering. it can be empty. SampleNum is the column of the primary sample that clustering needs to be run on. |
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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