multiARS_global: Resemblance analysis for multiple pairs: global ARS and its...
In matianzhou/CAMO: Perform congruent analysis among model organisms

Description Usage Arguments Value Examples

Resemblance analysis for multiple pairs: global ARS and its permuted p-value The multiARS_global is function to perform resemblance analysis for multiple pairs, generating global ARS and its permuted p-value.

1 2	multiARS_global(mcmc.merge.list, dataset.names, measure = "Fmeasure", parallel = F, cpu = 2, B = 50)

`mcmc.merge.list:`	a list of merged MCMC output matrices.
`dataset.names:`	a vector of dataset names.
`measure:`	three types of ARS measures to be used: "youden", "Fmeasure","geo.mean". Default is "Fmeasure".
`parallel:`	whether to perform parallel computing in permutation.
`cpu:`	if parallel=T, how many cpus to be used.
`B:`	number of permutations.

two lists: global ARS values and its permuted p-value, in addition, the two data matrices are written to the folder named "arsGlobal".

## Not run: 
#mcmc.merge.list from the merge step (example 1)
dataset.names <- c("hb","hs","ht","mb","ms","mt")
ARS_global <- multiARS_global(mcmc.merge.list,dataset.names,B=100)

## End(Not run)