bslnoff {PROcess} | R Documentation

## Baseline Substraction

### Description

This function estimates the baseline and then removes baseline from the raw spectrum.

### Usage

    bslnoff(f, breaks = 200, qntl = 0, method = c("loess", "approx"), bw = 0.005, plot = FALSE, ...)

### Arguments

`f` | a matrix with M/Z values in the first column and intensities in the second column
`breaks` | number of breaks set to M/Z values for finding the local minima or points below a centain quantile of intensities; breaks -1 equally spaced intervals on the log M/Z scale.
`qntl` | if 0, find local minima; if >0 find intensities < qntl*100th quantile locally.
`method` | "loess" or "approx" (linear interpolation).
`bw` | the bandwidth to be passed to loess.
`plot` | TRUE or FALSE, if true, it will plot the raw spectrum, theestimated baseline and the baseline substracted spectrum.
`...` | Further parameters that get passed on to plot.

### Value

a matrix of two columns: the first column being the M/Z values same as the input, and the second column being the baseline substracted spectra.

### Author(s)

Xiaochun Li

### Examples

    fdat <- system.file("Test", package = "PROcess")
    fs <- list.files(fdat, pattern="\.*csv\.*", full.names=TRUE)
    f1 <- read.files(fs[1])
    fcut <- f1[f1[,1]>0,]
    bseoff <-bslnoff(fcut,method="loess",plot=TRUE, bw=0.1)
    title(basename(fs[1]))

[Package PROcess version 1.18.0 Index]