View source: R/fct_assembleMirrorPlots.R
| assembleMirrorPlots | R Documentation | 
Assemble mirror plot Data
assembleMirrorPlots(
  sampleID1,
  sampleID2,
  minFrequency,
  lowerMassCutoff,
  upperMassCutoff,
  minSNR,
  tolerance = 0.002,
  pool1,
  pool2,
  normalizeSpectra = FALSE,
  ...
)
| sampleID1 | sample ID to search in IDBac sqlite database (will be positive spectrum) | 
| sampleID2 | sample ID to search in IDBac sqlite database (will be negative spectrum) | 
| minFrequency | numeric between 0 and 100, minFrequency | 
| lowerMassCutoff | lowerMassCutoff | 
| upperMassCutoff | upperMassCutoff | 
| minSNR | numeric, peaks with a SNR below this number will be removed | 
| tolerance | MALDIquant binning tolerance for intra-sample binning | 
| pool1 | pool that contains sample 1 (positive spectrum) | 
| pool2 | pool that contains sample 2 (negative spectrum) | 
| normalizeSpectra | should spectra be normalized? TRUE/FALSE | 
| ... | advanced arguments for MALDIquant, see  | 
environment containing mirror plot data
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