scanSD: scanSD - Analyze the differences in Standard Deviation...

In ctl: Correlated Trait Locus Mapping

scanSD - Analyze the differences in Standard Deviation between genotypes between two traits

Description

Analyze the differences in Standard Deviation between genotypes between two traits

Usage

scanSD(genotypes, phenotypes, phenocol=c(1,2), doRank = FALSE)

Arguments

genotypes	Matrix of genotypes. (individuals x markers)
phenotypes	Matrix of phenotypes. (individuals x phenotypes)
phenocol	Which phenotype column(s) should be plotted against each other, Default: phenotype 1 versus 2
doRank	Transform quantitative data into ranked data before analyzing the slope.

Details

TODO

Value

TODO

Note

TODO

Author(s)

Danny Arends [e-mail]
Maintainer: Danny Arends [e-mail]

References

TODO

See Also

• CTLscan - Main function to scan for CTL

• CTLsignificant - Significant interactions from a CTLscan

• CTLnetwork - Create a CTL network from a CTLscan

• image.CTLobject - Heatmap overview of a CTLscan

• plot.CTLscan - Plot the CTL curve for a single trait

Examples

  library(ctl)
  data(multitrait)      # Arabidopsis Thaliana (R/qtl cross object)

  sds <- scanSD(pull.geno(multitrait),pull.pheno(multitrait))

ctl documentation built on May 29, 2024, 9:03 a.m.