scan1: Genome Scan With a Single QTL Model

Description Usage Arguments Details Value Examples

Description

Genome Scan With a Single QTL Model

Usage

1
2
3
scan1(geno, pheno, pheno.col = 1, rankZ = FALSE, covar = NULL,
  intcovar = NULL, procedure = c("LM", "LMM", "LOCO"), G, verbose = FALSE,
  Intercept = rep(1, length(geno$subjects)), ...)

Arguments

geno

genotype probabilities ("genotype.probs" or "cross" object)

pheno

data frame with phenotypes

covar

(additive) covariates

intcovar

interactive covariates (interact with QTL genotype)

procedure

procedure to do the inference, see Details

G

genetic similarity matrix or a list of genetic similarity matrices or NULL

Intercept

option to pass rotated intercept for LMM model

...

parameters passed to gensim.matrix

pheno.cols

selection of phenotype's column(s)

Details

Currently, three procedures are implemented: linear model (LM), linear mixed model (LMM) and linear mixed model - leave one chromosome out (LOCO).

Value

scanone object

Examples

1
2
3
4
5
6
data(fake.f2, package="qtl")
fake.f2 <- calc.genoprob(fake.f2)

plot(scan1(fake.f2, procedure="LM"), incl.markers=FALSE)
plot(scan1(fake.f2, procedure="LMM"), incl.markers=FALSE)
plot(scan1(fake.f2, procedure="LOCO"), incl.markers=FALSE)

simecek/HPQTL documentation built on May 29, 2019, 10 p.m.