Description Usage Arguments Value Author(s)
View source: R/simul.replace.similar.herit.R
The function generates increasing amount of errors to the pedigree structure and calculates heritability for each simulation. For each level of the error proportion, a number of simulation equal to B are repeated. Errors are generated by replacing fathers with the most similar individual from the same generation.
1 2 | simul.replace.similar.herit(pedigree, lambda, B, data,
model, prior, nitt, thin, burnin)
|
pedigree |
A dataset containing the initial pedigree structure. It must have three columns: id, parent1, parent2. |
lambda |
A vector of real numbers specifying the error proportion to be generated. |
B |
An integer specifying the number of simulations to be run for each error level. |
data |
A dataset containing the phenotypic measurements on the population and the covariates which are included in the model. The trait shoul be named differently than 'trait' (see MCMCglmm) |
model |
A object of class MCMCglmm used to calculate heritability. |
prior |
Prior distribution for MCMCglmm model |
nitt |
Number of iterations for MCMCglmm model |
thin |
Thinning interval for MCMCglmm model |
burnin |
Burn in period for MCMCglmm model |
A list:
h |
A dataset containing all the simulated values for heritability |
se_h |
A dataset containing all the simulated standard errors for heritability |
VA |
A dataset containing all the simulated values for additive variance |
VE |
A dataset containing all the simulated values for environmental variance |
Erica Ponzi
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