Summarise spectrally processed m/z features.
Usage
featureSummary(x)
# S4 method for Binalysis
featureSummary(x)
# S4 method for MetaboProfile
featureSummary(x)
Examples
## Retrieve file paths and sample information for example data
files <- metaboData::filePaths('FIE-HRMS','BdistachyonEcotypes')[1:2]
info <- metaboData::runinfo('FIE-HRMS','BdistachyonEcotypes')[1:2,]
## Perform spectral binning
analysis <- binneR::binneRlyse(files,
info,
parameters = binneR::detectParameters(files))
#> binneR v2.6.3 Fri Jul 21 17:29:14 2023
#> ________________________________________________________________________________
#> Scans: 5:14
#> ________________________________________________________________________________
#> Reading raw data
#> Gathering bins
#> Removing single scan events
#> Averaging intensities across scans
#> Calculating bin metrics
#> Calculating accurate m/z
#> Building intensity matrix
#> Gathering file headers
#>
#> Completed! [1.5S]
featureSummary(analysis)
#> # A tibble: 2 × 3
#> Mode `Number of bins` `Missing Data (%)`
#> <chr> <int> <dbl>
#> 1 Negative 1188 6.48
#> 2 Positive 1550 9.68