simu_example_bc: Simulated data from a backcross population

In onemap: Construction of Genetic Maps in Experimental Crosses

Simulated data from a backcross population

Description

Simulated data set from a backcross population.

Usage

data(simu_example_bc)

Format

The format is: List of 11 $ geno : num [1:200, 1:54] 1 2 1 1 2 2 2 1 1 2 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:200] "BC_001" "BC_002" "BC_003" "BC_004" ... .. ..$ : chr [1:54] "M001" "M002" "M003" "M004" ... $ n.ind : int 200 $ n.mar : int 54 $ segr.type : chr [1:54] "A.H" "A.H" "A.H" "A.H" ... $ segr.type.num: num [1:54] 8 8 8 8 8 8 8 8 8 8 ... $ n.phe : int 0 $ pheno : NULL $ CHROM : NULL $ POS : NULL $ input : chr "simu_example_bc.raw" $ error : num [1:10800, 1:2] 1 1 1 1 1 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:10800] "M001_BC_001" "M002_BC_001" "M003_BC_001" "M004_BC_001" ... .. ..$ : NULL - attr(*, "class")= chr [1:2] "onemap" "backcross"

Details

A simulation of a backcross population of 200 individuals genotyped with 54 markers. There are no missing data. There are two groups, one (Chr01) with a total of 100 cM and the other (Chr10) with 150 cM. The markers are positioned equidistant from each other.

Author(s)

Cristiane Taniguti, [e-mail]

See Also

read_onemap and read_mapmaker.

Examples

data(simu_example_bc)

# perform two-point analyses
twopts <- rf_2pts(simu_example_bc)
twopts

onemap documentation built on June 8, 2025, 1:55 p.m.