getLinearfit: Calculates linear fit between RT of two runs

In Roestlab/DIAlignR: Dynamic Programming Based Alignment of MS2 Chromatograms

Description

This function selects features from oswFiles which has m-score < maxFdrLoess. It fits Linear model on these feature. Loess mapping is established from reference to experiment run.

Usage

getLinearfit(oswFiles, ref, eXp, maxFdrGlobal)

Arguments

oswFiles	(list of data-frames) it is output from getFeatures function.
ref	(string) Must be a combination of "run" and an iteger e.g. "run2".
eXp	(string) Must be a combination of "run" and an iteger e.g. "run2".
maxFdrGlobal	(numeric) A numeric value between 0 and 1. Features should have m-score lower than this value for participation in linear fit.

Value

An object of class "lm".

Author(s)

Shubham Gupta, [e-mail]

ORCID: 0000-0003-3500-8152

License: (c) Author (2019) + GPL-3 Date: 2019-12-14

See Also

getLOESSfit, getFeatures

Examples

data(oswFiles_DIAlignR, package="DIAlignR")
## Not run: 
lm.fit <- getLinearfit(oswFiles = oswFiles_DIAlignR, ref = "run1", eXp = "run2",
 maxFdrGlobal = 0.05)

## End(Not run)

Roestlab/DIAlignR documentation built on March 3, 2021, 9:09 a.m.