findDuplicates: Find and Remove Duplicate Features
In metabCombiner: Method for Combining LC-MS Metabolomics Feature Measurements
Description
Usage
Arguments
Details
Value
Description
Pairs of features with nearly identical m/z and retention time values are
removed in this step.
Usage
1
findDuplicates(data, missing, counts, duplicate)
Arguments
data
Constructed metabolomics data frame.
missing
Numeric vector. Percent missingness for each feature.
counts
Numeric vector. Central measure for each feature.
duplicate
Ordered numeric pair (m/z, rt) tolerance parameters for
duplicate feature search.
Details
Pairs of features are deemed duplicates if pairwise differences in m/z & rt
fall within tolerances defined by the duplicate argument. If a pair
of duplicate features is found, one member is removed. The determination of
which feature to remove is first by percent missingness, followed by central
abundance measure (median or mean). If the features have equal missingness
and abundance, then row order determines the feature to be removed.
Value
integer indices of removable duplicate features
metabCombiner documentation built on Dec. 10, 2020, 2 a.m.
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Description Usage Arguments Details Value
Description
Pairs of features with nearly identical m/z and retention time values are removed in this step.
Usage
1 | findDuplicates(data, missing, counts, duplicate)
|
Arguments
data |
Constructed metabolomics data frame. |
missing |
Numeric vector. Percent missingness for each feature. |
counts |
Numeric vector. Central measure for each feature. |
duplicate |
Ordered numeric pair (m/z, rt) tolerance parameters for duplicate feature search. |
Details
Pairs of features are deemed duplicates if pairwise differences in m/z & rt
fall within tolerances defined by the duplicate argument. If a pair
of duplicate features is found, one member is removed. The determination of
which feature to remove is first by percent missingness, followed by central
abundance measure (median or mean). If the features have equal missingness
and abundance, then row order determines the feature to be removed.
Value
integer indices of removable duplicate features
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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