Description Usage Arguments Value Author(s) Examples
View source: R/Metabo_data_analyzer.R
The function transforms you raw mzML data files in a deconvoluted peaklist eliminating also the the redundant informations
1 |
datapath |
the path source where is the data to analyze |
pathresult |
the path where to store the analyzed data |
author |
the name of project author. Default to Luca |
use_IPO |
either use IPO or not to determine the best wcms parameters for peak picking. (Not available yet) |
ret_corvar |
chose the method to align the samples between "density" and "obiwarp" |
intvalpar |
what kind of peak measurement should the algorithm use? default to IPO |
centerQC |
should the obiwarp method centered to a specific QC sample |
normalization |
should the sample batch normalized? |
NomRapport |
what is the name of Rapport? default to a name obtained from the datapath |
grouping_mode |
what kind of grouping mode should CAMERA use to determine the pseudospectra? chose between EIC_corr or area_corr |
no_conditioning_QC |
should be conditioning QC erased from the normalization process? Default set to yes |
list_conQC |
list of conditioning QC. If null, the algorithm will try to determine what are the conditioning QCs |
RT_max |
What is the limit of RT to consider a peak included in the peaklist? |
peaky
Luca Narduzzi "nardluca@gmail.com"
1 | peaky <- Metabo_data_analyzer(datapath = datapathy, grouping_mode = "area_corr", RT_max = 17)
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