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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