covariance_structure_of_correlated_random_effects_for_multiple_traits
Differences
This shows you the differences between two versions of the page.
Both sides previous revisionPrevious revisionNext revision | Previous revisionNext revisionBoth sides next revision | ||
covariance_structure_of_correlated_random_effects_for_multiple_traits [2018/03/29 18:44] – andres | covariance_structure_of_correlated_random_effects_for_multiple_traits [2018/03/29 18:52] – andres | ||
---|---|---|---|
Line 1: | Line 1: | ||
- | The documentation is bit confusing on how to declare several correlated effects for several traits. Whereas '' | + | The documentation is bit confusing on how to declare several correlated effects for several traits. Whereas '' |
For instance terminal crosses models (e.g. [[https:// | For instance terminal crosses models (e.g. [[https:// | ||
- | * trait_pure: y = u + e (animal) | + | * trait_pure: |
- | * trait_crossbred : y = s + e (sire of crossbred) | + | * trait_crossbred : **y = s + e** (sire of crossbred) |
- | Imagine that we have two such traits. Data file has " | + | Thus we have two traits, purebred and crossbred performance, |
< | < | ||
Line 25: | Line 25: | ||
</ | </ | ||
- | Where we have a 4x4 matrix for covariances. In fact | + | Where we have a 4x4 matrix for covariances. In fact this corresponds to |
- | Effect 4 Effect 5 | + | ^ ^ ^Effect 4^ ^Effect 5^ | |
- | Trait 1 Trait2 Trait1 Trait2 | + | ^ ^ ^Trait 1 ^Trait2^Trait1 ^Trait2| |
- | Effect 4 Trait 1 Var(u) 0 | + | ^Effect 4^Trait 1|Var(u)| 0 | 0|Cov(u,s)| |
- | Trait2 0 0 0 0 | + | ^ ^Trait 2 |0 | 0 | 0| 0| |
- | Effect 5 Trait 1 0 0 0 0 | + | ^Effect 5^Trait 1|0 | 0 | |
- | Trait2 Cov(s,u) Var(s) | + | ^ ^Trait 2|Cov(s,u)| 0| 0|Var(s)| |
covariance_structure_of_correlated_random_effects_for_multiple_traits.txt · Last modified: 2024/03/25 18:22 by 127.0.0.1