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onemap (version 3.2.0)

simu_example_f2: Simulated data from a f2 intercross population

Description

Simulated data set from a f2 intercross population.

Usage

data(simu_example_f2)

Arguments

Format

The format is: List of 11 $ geno : num [1:200, 1:54] 1 2 1 1 2 2 1 1 1 2 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:200] "F2_001" "F2_002" "F2_003" "F2_004" ... .. ..$ : chr [1:54] "M001" "M002" "M003" "M004" ... $ n.ind : int 200 $ n.mar : int 54 $ segr.type : chr [1:54] "C.A" "C.A" "C.A" "C.A" ... $ segr.type.num: num [1:54] 7 7 7 7 4 4 7 4 4 4 ... $ n.phe : int 0 $ pheno : NULL $ CHROM : NULL $ POS : NULL $ input : chr "simu_example_f2.raw" $ error : num [1:10800, 1:4] 1 1 1 1 1 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:10800] "M001_F2_001" "M002_F2_001" "M003_F2_001" "M004_F2_001" ... .. ..$ : NULL - attr(*, "class")= chr [1:2] "onemap" "f2"

Author

Cristiane Taniguti, chtaniguti@usp.br

Details

A simulation of a f2 intercross 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.

See Also

read_onemap and read_mapmaker.

Examples

Run this code
data(simu_example_f2)

# perform two-point analyses
twopts <- rf_2pts(simu_example_f2)
twopts

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