run_ari: Run ARI
In NWhitener/benchmarking: Benchmarking Tools For Single Cell RNA Sequencing Datasets
run_ari R Documentation
Run ARI
Description
Computes the Adjusted Rand Index of the cluster memberships. Uses the aricode implementation of ARI
Usage
run_ari(dataList, groundTruths, reductionType = "pca", method = "kmeans")
Arguments
dataList
A list of data sets with cluster membership information
groundTruths
The true cell cluster memberships
reductionType
The dimensionality reduction type of the data to find the calculated scores,
defaults to PCA
method
The clustering method used, defaults to Kmeans
Value
A table of the ARI Scores, with the data set name and the score
NWhitener/benchmarking documentation built on Oct. 23, 2023, 12:20 a.m.
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| run_ari | R Documentation |
Run ARI
Description
Computes the Adjusted Rand Index of the cluster memberships. Uses the aricode implementation of ARI
Usage
run_ari(dataList, groundTruths, reductionType = "pca", method = "kmeans")
Arguments
dataList |
A list of data sets with cluster membership information |
groundTruths |
The true cell cluster memberships |
reductionType |
The dimensionality reduction type of the data to find the calculated scores, defaults to PCA |
method |
The clustering method used, defaults to Kmeans |
Value
A table of the ARI Scores, with the data set name and the score
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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