TPRresProcessing: Processing TPR results
In vincentgarin/mppSim: Functions for simulation in MPP

TPRresProcessing

R Documentation

Processing TPR results

Description

Function to organise the TPR results obtained from a list of "true" QTL positions and a list of detected QTLs in several MPP designs with different models. The function compute the TPR in each situation (Rep * MPP design * model). Then it return a table with the average TPR over the x replicate for each combination of MPP design and QTL detection model. It return a similar table with the standard deviation. Finally, it also return the global average per model and per MPP design.

Usage

TPRresProcessing(
  QTL_true,
  QTL_detected,
  d_QTL,
  n_des = 9,
  n_mod = 4,
  mod_names = c("cr", "par", "anc", "biall"),
  MPP_names
)

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.
`mod_names`	Models names. Default = c("cr", "par", "anc", "biall").
`MPP_names`	MPP design names.

Value

list with vector of TPR average per MPP design, and vector of TPR average per model, matrix of average TPR per MPP and model, sandard deviation of the TPR per MPP and model, vector of TPR average per MPP design, and vector of TPR average per model.