RDQresProcessing: Processing RDQ results
In vincentgarin/mppSim: Functions for simulation in MPP

RDQresProcessing

R Documentation

Processing RDQ results

Description

Function to organise the resolution distance to the QTL (RDQ) 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 average RDQ in each situation (Rep * MPP design * model). Then it return a table with the average RDQ 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

RDQresProcessing(
  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 RDQ average per MPP design, and vector of RDQ average per model, matrix of average RDQ per MPP and model, sandard deviation of the RDQ per MPP and model, vector of RDQ average per MPP design, and vector of RDQ average per model.