get_impute_data: Data management to obtain data used for imputation

In PhHermann/LDJump: Estimating Variable Recombination Rates from Population Genetic Data

Description

This function obtains the neighbouring values for every segment without SNPs. The function either merges data of two or four neighbouring values. It is only used in the impute function.

Usage

get_impute_data(index, data,two=T,segs)

Arguments

index	this is a vector containing the integer number of the segments without SNPs.
data	A data vector containing the estimated recombination rates per segment.
two	A logical parameter indicating whether two neighbouring values (if TRUE) or four neighbouring values (if FALSE) should be provided.
segs	A (non-negative) integer which reflects the number of segments considered. It is calculated in the program based on the user-defined segLength.

Value

The function returns a vector containing the corresponding data which can be used for imputation. Note that the ordering is made that values of distance 1 are listed first in case that four neighbouring values are returned.

Author(s)

Philipp Hermann [e-mail], Andreas Futschik

See Also

impute

Examples

##### Do not run these examples                                  #####
##### This command shows how it is used in the impute function   #####
##### sapply(index, get.impute.data, data, two = two)            #####

PhHermann/LDJump documentation built on Nov. 16, 2019, 12:53 p.m.