compress_clusters: Compress clusters of features to a single feature
In antonvsdata/notame: Workflow for non-targeted LC-MS metabolic profiling
View source: R/feature_clustering.R
compress_clusters R Documentation
Compress clusters of features to a single feature
Description
This function compresses clusters found by cluster_features, keeping only the feature with the highest
median peak area. The features that were discarded are recorded in the fData part, under Cluster_features.
Usage
compress_clusters(object)
Arguments
object
a MetaboSet object
Value
a MetaboSet object with only one feature per cluster
See Also
cluster_features
Examples
clustered <- cluster_features(example_set, rt_window = 1, corr_thresh = 0.5, d_thresh = 0.6)
compressed <- compress_clusters(clustered)
antonvsdata/notame documentation built on Sept. 14, 2024, 11:09 p.m.
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View source: R/feature_clustering.R
| compress_clusters | R Documentation |
Compress clusters of features to a single feature
Description
This function compresses clusters found by cluster_features, keeping only the feature with the highest median peak area. The features that were discarded are recorded in the fData part, under Cluster_features.
Usage
compress_clusters(object)
Arguments
object |
a MetaboSet object |
Value
a MetaboSet object with only one feature per cluster
See Also
cluster_features
Examples
clustered <- cluster_features(example_set, rt_window = 1, corr_thresh = 0.5, d_thresh = 0.6)
compressed <- compress_clusters(clustered)
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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