iwNormGauss {msPurity} | R Documentation

## Gaussian normalisation for isolation window efficiency

### Description

Creates a function based on a gaussian curve shape that will normalise any intensity values within a defined isolation window.

The function that is created will output a value between 0 to 1 based on the position between the minOff and maxOff params. (The value 1.0 being equivalent to 100% efficient)

### Usage

    iwNormGauss(sdlim = 3, minOff = -0.5, maxOff = +0.5)

### Arguments

`sdlim` | numerical; Standard deviation limit for gaussian curve
`minOff` | numerical; Offset to the 'left' for the precursor range. (Should be negative)
`maxOff` | character; Offset to the 'left' for the precursor range. (Should be positive)

### Value

normalisation function for selected range.

### Examples

    iwNormFun <- iwNormGauss(minOff=-0.5, maxOff=0.5)
    pm <- data.frame(mz=c(99.5, 99.9, 100, 100.1, 100.5),i=c(1000, 1000, 1000, 1000, 1000))
    mzmax = 100.5
    mzmin = 99.5
    middle <- mzmax-(mzmax-mzmin)/2
    adjustmz = pm$mz-middle

    # normalise the intensities
    pm$normi = pm$i*iwNormFun(adjustmz)

[Package msPurity version 1.18.0 Index]