Description Usage Arguments Value Author(s)
Compute the null distribution for the F scores.
1 2 | compute.null(F.lead, dis, nb.gp, min.nb.ext.scores = 1000,
nb.perm.max = 1e+06, svQTL = FALSE, approx = TRUE)
|
F.lead |
the highest F score to drive the permutation optimization. |
dis |
the distance object of the transcript relative expression. |
nb.gp |
the number of group to simulate. |
min.nb.ext.scores |
the minimum number of permuted score higher than 'F.lead' to allow the computation to stop. Default is 1000. |
nb.perm.max |
the maximum number of permutations. Default is 1e6. |
svQTL |
should svQTL test be performed instead of sQTL. Default is FALSE. |
approx |
should the asymptotic distribution be used instead of permutations. Default is TRUE. |
a list with
FP |
a vector of the permuted F scores. |
nbP.tot |
the number of permuted F scores. |
Jean Monlong
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.