pvalue.VCC3: Compute p-values for the VC-C3 method

Description Usage Arguments Value Author(s) See Also

View source: R/pvalue.VCC3.R

Description

Compute p-values for the VC-C3 method

Usage

1
2
pvalue.VCC3(P, G, W, Nperm, n, pedigree, haplotypes, generation.id,
  Ncores = 1)

Arguments

P

a matrix which can be obtained as output of the function Preparation.VCC.

G

the genotype matrix

Nperm

(integer) The number of permutations to be done to calculate the empirical p-value if the VCC2 or VCC3 method is used. For other methods this parameter is ignored (default: 100).

n

Integer, the number of samples

pedigree

a pedigree as output by read.pedigree. This is a data frame consisting of four columns (family ID, individual ID, father ID and mother ID) as use in the traditional linkage format and e.g. Plink files.

haplotypes

a matrix of the haplotypes of the individuals

generation.id

a vector of length(sample size) which indicates if the subject is founder (generation.id=0), a child from first generation (generation.id=1), a child from second generation (generation.id=2), etc. This vector can be calculated by the kinship2::kindepth() function.

Ncores

(integer) Number of processor (CPU) cores to be used in parallel when doing the permutations to determine the p-value (default: 1).

Value

the outcomes of the VC-C3 association test on the given region, which is a list with the following elements:

Author(s)

Karim Oualkacha

M'Hamed Lajmi Lakhal-Chaieb

See Also

pvalue.VCC1, pvalue.VCC2


RVPedigree documentation built on May 29, 2017, 10:19 p.m.

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