PermutRandSurv: A function to calculate probabilities of neutral model and...
In laurentlab-mpipz/rsurvival: Process genotype data from survival experiment

Description Usage Arguments Value See Also Examples

A function to calculate probabilities of neutral model and positive selection model from a genotype matrix whit a randomly shuffled survival vector

1 2	PermutRandSurv(gt, survival, odded.lives = NULL, odded.samples = NULL, verbose = TRUE)

`gt`	A genotype matrix
`survival`	A survival vector to shuffle
`odded.lives`	Optional. A vector containing a number of lives for each categories of `odded.samples` (e.g. c("HETERO" = 32, "HOMOREF" = 18, ... ))
`odded.samples`	Optional. A list of vectors containing index for each odded sample categories. (e.g. list$HETERO could be c(1,3,7,45,141))
`verbose`	Logical. If TRUE (default), report status of the process along the execution.

A data frame of frequencies and probabilities, one snp per row.

For more detail, see AnalyseSplittedExpt which this function bind.

## Not run: 
PermutRandSurv(gt, c(TRUE, TRUE, FALSE, ...))
PermutRandSurv(gt, survival, verbose = FALSE)
PermutRandSurv(gt, survival, odded.lives = c("HETERO" = 32, "HOMOREF" = 18, ...
), odded.samples = list("HETERO" = c(1,3,7,45,141), ...)))

## End(Not run)