Get the mzrt profile and group information as a mzrt list and/or save them as csv or rds for further analysis.

Source: R/getmzrt.R

Get the mzrt profile and group information as a mzrt list and/or save them as csv or rds for further analysis.

getmzrt(
  xset,
  name = NULL,
  mzdigit = 4,
  rtdigit = 1,
  method = "medret",
  value = "into",
  eic = FALSE,
  type = "o"
)

Arguments

xset

xcmsSet/XCMSnExp objects

name

file name for csv and/or eic file, default NULL

mzdigit

m/z digits of row names of data frame, default 4

rtdigit

retention time digits of row names of data frame, default 1

method

parameter for groupval or featureDefinitions function, default medret

value

parameter for groupval or featureDefinitions function, default into

eic

logical, save xcmsSet and xcmsEIC objects for further investigation with the same name of files, you will need raw files in the same directory as defined in xcmsSet to extract the EIC based on the binned data. You could use `plot` to plot EIC for specific peaks. For example, `plot(xcmsEIC,xcmsSet,groupidx = 'M123.4567T278.9')` could show the EIC for certain peaks with m/z 206 and retention time 2789. default F

type

csv format for further analysis, m means Metaboanalyst, a means xMSannotator, p means Mummichog(NA values are imputed by `getimputation`, and F test is used here to generate stats and p value), o means full information csv (for `pmd` package), default o. mapo could output all those format files.

Value

mzrt object, a list with mzrt profile and group information

References

Smith, C.A., Want, E.J., O’Maille, G., Abagyan, R., Siuzdak, G., 2006. XCMS: Processing Mass Spectrometry Data for Metabolite Profiling Using Nonlinear Peak Alignment, Matching, and Identification. Anal. Chem. 78, 779–787.

Examples

if (FALSE) {
library(faahKO)
cdfpath <- system.file('cdf', package = 'faahKO')
xset <- getdata(cdfpath, pmethod = ' ')
getmzrt(xset, name = 'demo', type = 'mapo')
}