pull_clusters: Extract information of the features in clusters
In antonvsdata/notame: Workflow for non-targeted LC-MS metabolic profiling
pull_clusters R Documentation
Extract information of the features in clusters
Description
For each cluster, the LC-MS data of the feature with largest median peak area is retained,
all the features inside every cluster are recorded
Usage
pull_clusters(data, features, name_col)
Arguments
data
data frame of the original LC-MS data
features
data frame holding the feature information
name_col
name_col character, name of the column in features that contains feature names
Value
a list of two items:
cdata: a new data frame with the combined LC-MS data
cfeatures: data frame, feature information per cluster
antonvsdata/notame documentation built on Sept. 14, 2024, 11:09 p.m.
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| pull_clusters | R Documentation |
Extract information of the features in clusters
Description
For each cluster, the LC-MS data of the feature with largest median peak area is retained, all the features inside every cluster are recorded
Usage
pull_clusters(data, features, name_col)
Arguments
data |
data frame of the original LC-MS data |
features |
data frame holding the feature information |
name_col |
name_col character, name of the column in features that contains feature names |
Value
a list of two items:
cdata: a new data frame with the combined LC-MS data
cfeatures: data frame, feature information per cluster
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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