This simulates a cross
object with 3 phenotypes where y1 has a causal effect
on both y2 and y3. See vignette for details.
1 2 3 | SimCrossCausal(n.ind, len, n.mar, beta, add.eff, dom.eff, sig2.1 = 1,
sig2.2 = 1, eq.spacing = FALSE, cross.type = c("bc", "f2"),
normalize = FALSE)
|
n.ind |
number of individuals |
len |
length(s) of chromosome(s) |
n.mar |
markers per chromosome |
beta |
causal effect(s) (slope(s)) of y1 on the other phenotypes |
add.eff, dom.eff |
additive and dominance effects |
eq.spacing |
use equal marker spacing if |
cross.type |
cross type (only "bc" and "f2" implemented) |
normalize |
use normal scores if |
sig.1, sig.2 |
residual variances for y1 and other responses |
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