get_partition_agreement_scores: Get a dataframe of partition agreement scores for a set of...
In BioSok/omada: Machine learning tools for automated transcriptome clustering analysis
View source: R/get_partition_agreement_scores_omada.R
View source: R/get_partition_agreement_scores.R
get_partition_agreement_scores R Documentation
Get a dataframe of partition agreement scores for a set of random parameters
clustering runs across different methods
Description
Get a dataframe of partition agreement scores for a set of random parameters
clustering runs across different methods
Get a dataframe of partition agreement scores
Usage
get_partition_agreement_scores(object)
get_partition_agreement_scores(object)
Arguments
object
An object of class "clusterAnalysis"
Value
A dataframe of partition agreement scores for a set of random
parameters clustering runs across different methods
A dataframe of partition agreement scores
parameters clustering runs across different methods
Examples
ms.object <- clusteringMethodSelection(toy_genes, method.upper.k = 3,
number.of.comparisons = 2)
get_partition_agreement_scores(ms.object)
oa.object <- omada(toy_genes, method.upper.k = 4)
get_partition_agreement_scores(oa.object)
BioSok/omada documentation built on Aug. 21, 2023, 2:38 p.m.
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View source: R/get_partition_agreement_scores_omada.R View source: R/get_partition_agreement_scores.R
| get_partition_agreement_scores | R Documentation |
Get a dataframe of partition agreement scores for a set of random parameters clustering runs across different methods
Description
Get a dataframe of partition agreement scores for a set of random parameters clustering runs across different methods
Get a dataframe of partition agreement scores
Usage
get_partition_agreement_scores(object)
get_partition_agreement_scores(object)
Arguments
object |
An object of class "clusterAnalysis" |
Value
A dataframe of partition agreement scores for a set of random parameters clustering runs across different methods
A dataframe of partition agreement scores parameters clustering runs across different methods
Examples
ms.object <- clusteringMethodSelection(toy_genes, method.upper.k = 3,
number.of.comparisons = 2)
get_partition_agreement_scores(ms.object)
oa.object <- omada(toy_genes, method.upper.k = 4)
get_partition_agreement_scores(oa.object)
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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