Nothing
#######################################################################
# #
# Package: onemap #
# #
# File: suggest_lod.R #
# Contains: suggest_lod #
# #
# Written by Antonio Augusto Franco Garcia and updated by Cristiane #
# Taniguti #
# copyright (c) 2015 Antonio Augusto Franco Garcia #
# #
# First version: 2015/04/21 #
# License: GNU General Public License version 3 or later #
# #
#######################################################################
##' Suggests a LOD Score for two point tests
##'
##' It suggests a LOD Score for declaring statistical significance for two-point tests
##' for linkage between all pairs of markers, considering that multiple tests are being performed.
##'
##' In a somehow naive approach, the function calculates the number of two-point tests that
##' will be performed for all markers in the data set, and then using this to calculate
##' the global alpha required to control type I error using Bonferroni's correction.
##'
##' From this global alpha, the corresponding quantile from the chi-square distribution is taken
##' and then converted to LOD Score.
##'
##' This can be seen as just an initial approximation to help users to select a LOD Score for two
##' point tests.
##'
##' @param x an object of class \code{sequence} or \code{onemap}
##'
##' @return the suggested LOD to be used for testing linkage
##'
##' @examples
##'
##' data(onemap_example_bc) # Loads a fake backcross dataset installed with onemap
##' suggest_lod(onemap_example_bc) # An value that should be used to start the analysis
##'
##' @export
suggest_lod <- function(x) {
if (inherits(x,c("sequence", "onemap"))) { # Keep onemap class just to be compatible with older versions
if(inherits(x, "onemap"))
num.tests <- choose(x$n.mar, 2) #Number of pairwise tests
if(inherits(x, "sequence"))
num.tests <- choose(length(x$seq.num), 2)
LOD <- 0.2172 * qchisq(1-0.05/num.tests, 1) #Corresponding LOD
return(LOD)
}
else stop("This is not a onemap object with raw data")
}
##'
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.