summarizeInCluster: Summarize Using Cluster Analysis
In cavei/MOSClip: Multi Omics Survival Clip
Description
Usage
Arguments
Details
Description
Given a matrix it summarize in classes
Usage
1
2
summarizeInCluster(data, features, name = "clu", dictionary = NULL,
max_cluster_number = 3, cliques = NULL)
Arguments
data
a data matrix
features
a vector with the features to analyze
name
prefix of the covariates
dictionary
translate features (genes) into sets (row.names of the data)
max_cluster_number
the maximum number of cluster to evaluate
cliques
the features organized in cliques. Only use for topology
Details
The user can define a maximum of classes. The function
guess the optimal number of clusters using NbClust methods.
cavei/MOSClip documentation built on May 12, 2019, 5:22 p.m.
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Description Usage Arguments Details
Description
Given a matrix it summarize in classes
Usage
1 2 | summarizeInCluster(data, features, name = "clu", dictionary = NULL,
max_cluster_number = 3, cliques = NULL)
|
Arguments
data |
a data matrix |
features |
a vector with the features to analyze |
name |
prefix of the covariates |
dictionary |
translate features (genes) into sets (row.names of the data) |
max_cluster_number |
the maximum number of cluster to evaluate |
cliques |
the features organized in cliques. Only use for topology |
Details
The user can define a maximum of classes. The function guess the optimal number of clusters using NbClust methods.
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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