data.test {HAPim} | R Documentation |
"data.test" is a list of 9 elements. We consider a 10 cM chromosomal region with 10 equally spaced biallelic markers and a design of 5 half-sib families, each sire having 10 sons. Data are prepared for a QTL detection in the middle of each marker intervalle.
data(data.test)
A list containing the following components:
- map
: vector (9) with numerical values
- hap.trans.mere
: matrix (50 x 10) with character values
- hap.trans.pere
: matrix (50 x 10) with character values
- hap.chrom1.pere
: matrix (5 x 10) with character values
- hap.chrom2.pere
: matrix (5 x 10) with character values
- perf
: vector (50) with numerical values
- CD
: vector (50) with numerical values
- PLA
: matrix (50 x 9) with numerical values
- genea
: matrix (50 x 2) with numerical values
data(data.test) #distance between two consecutive markers on the chromosome map=data.test[[1]] map #haplotype transmitted by dams #son information (lines) are ordered following genea[,1] hap.trans.mere=data.test[[2]] hap.trans.mere #haplotype transmitted by sires #son information (lines) are ordered following genea[,1] hap.trans.pere=data.test[[3]] hap.trans.pere #haplotype of the first chromosome for each sire #sire information (lines) are ordered following unique(genea[,2]) hap.chrom1.pere=data.test[[4]] hap.chrom1.pere #haplotype of the second chromosome for each sire #sire information (lines) are ordered following unique(genea[,2]) hap.chrom2.pere=data.test[[5]] hap.chrom2.pere #performances of sons #son information are ordered following genea[,1] perf=data.test[[6]] perf #CD of sons #son information are ordered following genea[,1] CD=data.test[[7]] CD #transmission probabilities of sons for each test position #son information (lines) are ordered following genea[,1] PLA=data.test[[8]] PLA #son index and index of his father genea=data.test[[9]] genea