TPRRegTable: TPR Results for regression

In vincentgarin/mppSim: Functions for simulation in MPP

TPR Results for regression

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

TPRRegTable(
  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.
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 matrix with the first column being the average TPR over the repetitions and the other being the incidence matrices of the factors

Author(s)

Vincent Garin

vincentgarin/mppSim documentation built on Oct. 11, 2024, 3:18 p.m.