SCPeakRegions | R Documentation |
Holds all the peak region data
Holds all the peak region data
This reference class represents the peak region data.
frequency_point_regions
the frequency data
frequency_fit_description
the model of frequency ~ m/z
mz_fit_description
the model of m/z ~ frequency
peak_regions
the peak regions
sliding_regions
the sliding regions used for density calculations
tiled_regions
the tiled regions used for grouping and splitting peak regions
peak_region_list
list of regions
frequency_multiplier
how much to multiplier frequency by to make interval points
scan_peaks
the peaks by scans
peak_data
the data.frame of final peak data
scan_level_arrays
scan level peak data as matrices
is_normalized
are the peak intensities normalized
normalization_factors
the normalization factors calculated
n_scan
how many scans are we working with
scans_per_peak
??
scan_perc
what percentage of scans is a minimum
min_scan
based on scan_perc
, how many scans minimum does a peak
need to be in
max_subsets
??
scan_subsets
??
frequency_range
what is the range in frequency space
scan_correlation
??
keep_peaks
which peaks are we keeping out of all the peaks we had
peak_index
the indices for the peaks
scan_indices
the names of the scans
instrument
the instrument serial number if available
set_min_scan()
sets the minimum number of scans to use
SCPeakRegions$set_min_scan()
add_data()
Adds the data from an SCMzml object to the SCPeakRegion.
SCPeakRegions$add_data(sc_mzml)
sc_mzml
the SCMzml object being passed in
new()
Creates a new SCPeakRegions object
SCPeakRegions$new( sc_mzml = NULL, frequency_multiplier = 400, scan_perc = 0.1, max_subsets = 100 )
sc_mzml
the SCMzml object to get data from
frequency_multiplier
how much to multiply frequency by
scan_perc
how many scans are required to be in to be a "peak"
max_subsets
??
clone()
The objects of this class are cloneable with this method.
SCPeakRegions$clone(deep = FALSE)
deep
Whether to make a deep clone.
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