detectClusters: Function to estimate the number of clusters in IC...
In jinhyunju/picaplot: An R package for analyzing gene expression data with Principal / Independent Component Analysis
Description
Usage
Arguments
Value
Examples
View source: R/detectClusters.R
Description
Performing ICA on a dataset and create a list object with results.
Usage
1
detectClusters(input_list = NULL)
Arguments
input_list
input_list ICA or PCA object generated by run_ica() or runPCA().
Value
Running detectClusters() will generate a copy of the input_list with additional entries n_clust,mclust_result.
n_clust will contain the number of estimated clusters for each component, and mclust_result is a list with
each result of mclust saved for all components.
Examples
1
2
3
4
data(expr_data)
pca_result <- runPCA(expr_data)
pca_result <- detectClusters(pca_result)
jinhyunju/picaplot documentation built on May 19, 2019, 10:35 a.m.
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Description Usage Arguments Value Examples
View source: R/detectClusters.R
Description
Performing ICA on a dataset and create a list object with results.
Usage
1 | detectClusters(input_list = NULL)
|
Arguments
input_list |
input_list ICA or PCA object generated by |
Value
Running detectClusters() will generate a copy of the input_list with additional entries n_clust,mclust_result.
n_clust will contain the number of estimated clusters for each component, and mclust_result is a list with
each result of mclust saved for all components.
Examples
1 2 3 4 | data(expr_data)
pca_result <- runPCA(expr_data)
pca_result <- detectClusters(pca_result)
|
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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