TPRRegTable2: TPR results for single type of QTL effect simulation
In vincentgarin/mppSim: Functions for simulation in MPP

TPRRegTable2

R Documentation

TPR results for single type of QTL effect simulation

Description

Organise the TPR results in a table that can be used for regression. The independent variable (y) is the average TPR decomposed over each factor: MPP design, number of parents, individual per cross (continuous variable), QTL detection model, type of QTL, and the size of the QTL.

Usage

TPRRegTable2(
  QTL_true,
  QTL_detected,
  d_QTL,
  n_des = 9,
  n_mod = 4,
  n_QTL = 2,
  QTL_ind,
  mod_names = c("cr", "par", "anc", "biall"),
  des_names = NULL,
  n_par,
  N
)

Arguments

`QTL_true`	list of true QTL positions.
`QTL_detected`	list results of detected QTLs.
`d_QTL`	distance to the QTL.
`n_des`	Number of MPP design. Default = 9.
`n_mod`	Number of QTL detection models. Default = 4.
`n_QTL`	Number of QTL. Default = 2.
`QTL_ind`	Numeric indicator for the type of QTL between 1 to 8.
`mod_names`	Models names. Default = c("cr", "par", "anc", "biall").
`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`	Total number of individuals in the population