dQTLTab | R Documentation |
This function measure the distance between the simulated QTL and the largest significant peak.
dQTLTab(
QTL_true = Q_sim[1:n_rep],
QTL_detected = Q_res,
des_names = des_names,
n_par = n_par,
n_des = n_des,
n_mod = 4,
n_QTL = 8,
mod_names = c("cr", "par", "anc", "biall"),
N = N
)
QTL_true |
list of true QTL positions. |
QTL_detected |
list results of detected QTLs. |
des_names |
MPP design names. Use only: 'Diallel', 'Chessboard', 'Factorial', 'NAM' or 'Realized'. Default = NULL. |
n_par |
Number of parents of the different designs |
n_des |
Number of MPP design. Default = 9. |
n_mod |
Number of QTL detection models. Default = 4. |
n_QTL |
Number of simulated QTL. Default = 8. |
mod_names |
Models names. Default = c("cr", "par", "anc", "biall"). |
N |
Total number of individuals in the population |
A matrix with the first column being the average RDQ over the repetitions and the other being the incidence matrices of the factors
Vincent Garin
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