p-values from a lfmm run

Return the `snmf`

output matrix of admixture coefficients for the chosen
run with K ancestral populations. For an example, see `snmf`

.

1 | ```
Q(object, K, run)
``` |

`object` |
A snmfProject object. |

`K` |
The number of ancestral populations. |

`run` |
A chosen run. |

`res` |
A matrix containing the admixture coefficients for the chosen run with K ancestral populations. |

Eric Frichot

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | ```
### Example of analyses using snmf ###
# creation of the genotype file, genotypes.geno.
# It contains 400 SNPs for 50 individuals.
data("tutorial")
write.geno(tutorial.R, "genotypes.geno")
################
# runs of snmf #
################
# main options, K: (the number of ancestral populations),
# entropy: calculate the cross-entropy criterion,
# CPU: the number of CPUs.
# Runs with K between 1 and 5 with cross-entropy and 2 repetitions.
project = NULL
project = snmf("genotypes.geno", K = 3, repetitions = 2, project = "new")
# get the ancestry coefficients for the 2nd run for K = 3.
res = Q(project, K = 3, run = 2)
# plot the 2nd run for K = 3 (ancestry coefficients).
barplot(t(Q(project, K = 3, run = 2)))
``` |

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