qtl: clean.scantwo – R documentation

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clean.scantwo

Clean up scantwo output

Description

In an object output from scantwo, replaces negative and missing LOD scores with 0, and replaces LOD scores for pairs of positions that are not separated by n.mar markers, or that are less than distance cM apart, with 0. Further, if the LOD for full model is less than the LOD for the additive model, the additive LOD is pasted over the full LOD.

Usage

## S3 method for class 'scantwo'
clean(object, n.mar=1, distance=0, ...)

Arguments

`object`	An object of class `scantwo`. See `scantwo` for details.
`n.mar`	Pairs of positions not separated by at least this many markers have LOD scores set to 0.
`distance`	Pairs of positions not separated by at least this distance have LOD scores set to 0.
`...`	Ignored at this point.

Value

The input scantwo object, with any negative or missing LOD scores replaced by 0, and LOD scores for pairs of positions separated by fewer than n.mar markers, or less than distance cM, are set to 0. Also, if the LOD for the full model is less than the LOD for the additive model, the additive LOD is used in place of the full LOD.

Author(s)

Karl W Broman, broman@wisc.edu

Examples

data(fake.f2)

fake.f2 <- calc.genoprob(fake.f2, step=5)
out2 <- scantwo(fake.f2, method="hk")
out2 <- clean(out2)
out2cl2 <- clean(out2, n.mar=2, distance=5)

qtl

Tools for Analyzing QTL Experiments

v1.48-1

GPL-3

Authors

Karl W Broman <broman@wisc.edu> and Hao Wu, with ideas from Gary Churchill and Saunak Sen and contributions from Danny Arends, Robert Corty, Timothee Flutre, Ritsert Jansen, Pjotr Prins, Lars Ronnegard, Rohan Shah, Laura Shannon, Quoc Tran, Aaron Wolen, Brian Yandell, and R Core Team

Initial release

2021-03-24