scanSD {ctl} | R Documentation |
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 Danny.Arends@gmail.com
Maintainer: Danny Arends Danny.Arends@gmail.com
References
TODO
See Also
-
CTLscan
- Main function to scan for CTL -
CTLsignificant
- Significant interactions from aCTLscan
-
CTLnetwork
- Create a CTL network from aCTLscan
-
image.CTLobject
- Heatmap overview of aCTLscan
-
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))
[Package ctl version 1.0.0-10 Index]