Agilent_quantF_MSclust: Demonstration dataset for MS.clust

Description Usage Format Examples


This demonstration dataset includes 2 GC-MS analyses of Lavandula, representing a total of 54 chromatogram's peaks. The file was created with MS.DataCreation (option quant=FALSE) from Agilent data. It can be used with the function MS.clust:

(i) to identify the optimal number of clusters.

(ii) to obtain the fingerprinting matrix (absence or presence of peaks for all samples)




A data frame with 54 chromatogram's peaks from 2 GC-MS analyses.

  • header line the first row contains columns' names

  • first column name of the sample/analysis

  • second column retention time of the peak

  • following columns mean relative mass spectrum of the peak (the intensity of one mass fragment (m/z) per column; Mean mass spectrum calculated by averaging 5 percent of the mass spectra surrounding the apex; The intensity of each mass fragment is transformed to a relative percentage of the highest mass fragment per spectrum)



MSeasy documentation built on May 19, 2017, 11:34 p.m.
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