exportDataset: exportDataset
In sneumann/RAMClustR: RAMClust: a novel feature clustering method enables spectral-matching based annotation for metabolomics data
Description
Usage
Arguments
Details
Value
Author(s)
References
View source: R/exportDataset.R
Description
export one of 'SpecAbund', 'SpecAbundAve', 'MSdata' or 'MSMSdata' from an RC object to csv
Usage
1
2
exportDataset(ramclustObj = RC, which.data = "SpecAbund",
label.by = "ann")
Arguments
ramclustObj
ramclustR object to export from
Details
Useful for exporting the processed signal intensity matrix to csv for analysis elsewhere.
Value
nothing is returned. file exported as csf to 'datasets/*.csv'
Author(s)
Corey Broeckling
References
Broeckling CD, Afsar FA, Neumann S, Ben-Hur A, Prenni JE. RAMClust: a novel feature clustering method enables spectral-matching-based annotation for metabolomics data. Anal Chem. 2014 Jul 15;86(14):6812-7. doi: 10.1021/ac501530d. Epub 2014 Jun 26. PubMed PMID: 24927477.
sneumann/RAMClustR documentation built on May 30, 2019, 5:05 a.m.
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Description Usage Arguments Details Value Author(s) References
View source: R/exportDataset.R
Description
export one of 'SpecAbund', 'SpecAbundAve', 'MSdata' or 'MSMSdata' from an RC object to csv
Usage
1 2 | exportDataset(ramclustObj = RC, which.data = "SpecAbund",
label.by = "ann")
|
Arguments
ramclustObj |
ramclustR object to export from |
Details
Useful for exporting the processed signal intensity matrix to csv for analysis elsewhere.
Value
nothing is returned. file exported as csf to 'datasets/*.csv'
Author(s)
Corey Broeckling
References
Broeckling CD, Afsar FA, Neumann S, Ben-Hur A, Prenni JE. RAMClust: a novel feature clustering method enables spectral-matching-based annotation for metabolomics data. Anal Chem. 2014 Jul 15;86(14):6812-7. doi: 10.1021/ac501530d. Epub 2014 Jun 26. PubMed PMID: 24927477.
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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