Learn R Programming

qtl (version 1.70)

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 scantwo
clean(object, n.mar=1, distance=0, ...)

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.

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.

Author

Karl W Broman, broman@wisc.edu

See Also

scantwo, summary.scantwo

Examples

Run this code
data(fake.f2)
fake.f2 <- subset(fake.f2, chr=18:19)
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)

Run the code above in your browser using DataLab