TPRRegTableIndQTL: Table of TPR results for single QTLs
In vincentgarin/mppSim: Functions for simulation in MPP

TPRRegTableIndQTL

R Documentation

Table of TPR results for single QTLs

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

TPRRegTableIndQTL(
  QTL_true,
  QTL_detected,
  d_QTL,
  n_des = 9,
  n_mod = 4,
  n_QTL = 8,
  mod_names = c("cr", "par", "anc", "biall"),
  des_names = NULL,
  n_par,
  N
)

Arguments

`QTL_true`	list of true QTL positions with frequency and number of effect information added.
`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 = 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.

Value

A data.frame with first column indicating if the QTL was detected or not (0, 1), the type of QTL effect, the size of the QTL effect, the segregation rate (proportion of ind that receive a non zero effect from the considered QTL), the number of QTL effects, the model, the MPP design, the number of parents, the number of individuals per cross.