FDRresProcessing: Processing FDR results
In vincentgarin/mppSim: Functions for simulation in MPP

FDRresProcessing

R Documentation

Processing FDR results

Description

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

FDRresProcessing(
  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 FDR average per MPP design, and vector of FDR average per model, matrix of average FDR per MPP and model, sandard deviation of the FDR per MPP and model, vector of FDR average per MPP design, and vector of FDR average per model.