qtl: summary.scanoneboot – R documentation

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qtl

summary.scanoneboot

Bootstrap confidence interval for QTL location

Description

Calculates a bootstrap confidence interval for QTL location, using the bootstrap results from scanoneboot.

Usage

## S3 method for class 'scanoneboot'
summary(object, prob=0.95, expandtomarkers=FALSE, ...)

Arguments

`object`	Output from `scanoneboot`.
`prob`	Desired coverage.
`expandtomarkers`	If TRUE, the interval is expanded to the nearest flanking markers.
`...`	Ignored at this point.

Value

An object of class scanone, indicating the position with the maximum LOD, and indicating endpoints for the estimated bootstrap confidence interval.

Author(s)

Karl W Broman, broman@wisc.edu

Examples

## Not run: data(fake.f2)
fake.f2 <- calc.genoprob(fake.f2, step=1, err=0.001)
bootoutput <- scanoneboot(fake.f2, chr=13, method="hk")

summary(bootoutput)
## End(Not run)

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