filterLowaccResults {RMassBank} | R Documentation

## Filter peaks with low accuracy

### Description

Filters a peak table (with annotated formulas) for accuracy. Low-accuracy peaks are removed.

### Usage

    filterLowaccResults(peaks, mode="fine", filterSettings  = getOption("RMassBank")$filterSettings)

### Arguments

`peaks` | A data frame with at least the columns `mzFound` and `dppm`.
`mode` | `coarse` or `fine`, see below.
`filterSettings` | Settings for filtering. For details, see documentation of `analyzeMsMs`

### Details

In the `coarse` mode, mass tolerance is set to 10 ppm (above m/z 120) and 15 ppm (below m/z 120). This is useful for formula assignment before recalibration, where a wide window is desirable to accomodate the high mass deviations at low m/z values, so we get a nice recalibration curve.

In the `fine` run, the mass tolerance is set to 5 ppm over the whole mass range. This should be applied after recalibration.

### Value

A `list(TRUE = goodPeakDataframe, FALSE = badPeakDataframe)` is returned: A data frame with all peaks which are "good" is in `return[["TRUE"]]`.

### Author(s)

Michael Stravs

### See Also

`analyzeMsMs`, `filterPeakSatellites`

### Examples

    # from analyzeMsMs:
    ## Not run: childPeaksFilt <- filterLowaccResults(childPeaksInt, filterMode)

[Package RMassBank version 3.2.0 Index]