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summary.fitqtl

Summary of fit of qtl model


Description

Print summary information about the results of fitqtl.

Usage

## S3 method for class 'fitqtl'
summary(object, pvalues=TRUE, simple=FALSE, ...)

Arguments

object

Output from fitqtl.

pvalues

If FALSE, don't include p-values in the summary.

simple

If TRUE, don't include p-values or sums of squares in the summary.

...

Ignored at this point.

Value

An object of class summary.fitqtl, which is not all that different than the input, but when printed gives summary information about the results.

Author(s)

Hao Wu; Karl W Broman, broman@wisc.edu

See Also

Examples

data(fake.f2)

# take out several QTLs and make QTL object
qc <- c(1, 8, 13)
qp <- c(26, 56, 28)
fake.f2 <- subset(fake.f2, chr=qc)

fake.f2 <- calc.genoprob(fake.f2, step=2, err=0.001)
qtl <- makeqtl(fake.f2, qc, qp, what="prob")

# fit model with 3 interacting QTLs interacting
# (performing a drop-one-term analysis)
lod <- fitqtl(fake.f2, pheno.col=1, qtl, formula=y~Q1*Q2*Q3,
              method="hk")
summary(lod)

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

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