examplePhi | R Documentation |
We consider parametric and nonparametric bootstrap and the kinship coefficient for some pedigrees.
examplePhi( peds, idlist, N = 2, B = 10, CItype = "perc", conf.level = 0.95, seed = NULL, verbose = TRUE, db = NULL, case = "foo" )
peds |
list of ped objects with allele frequencies. |
idlist |
list of ids of of pair. |
N |
Integer. No of simulations. |
B |
Integer. No of bootstraps. |
CItype |
Logical |
conf.level |
Double |
seed |
Integer |
verbose |
Logical |
db |
database |
case |
Logical. Describes experiment. #' |
See bootPhi()
Returns a data frame summarising the simulation.
library(forrel) library(ribd) library(coxed) # for bca confidence intervals peds = list(quadHalfFirstCousins(), doubleFirstCousins(), nuclearPed(2), halfSibPed(), cousinPed(1)) names(peds) = c("QHFC", "DFC", "S", "H", "FC") idlist = lapply(peds, leaves) # phi = unlist(lapply(peds, function(x) kinship(x, leaves(x)))) N = 1; B = 4 # Increase to N = 100 and B = 1000, at least seed = 1729 # Example 1a Many SNP-s. Intended to meet assumptions well n = 1000 # no of markers p = rep(0.5, n) freq = list() for (i in 1:n) freq[[i]] = list(afreq = c("1" = p[i], "2" = 1- p[i])) db = freq res1 = examplePhi(peds, idlist, N = N, B = B, seed = seed, db = db, case = "1000snps") # Example 1b NorwegianFrequency. Medium number of markers db = NorwegianFrequencies res2 = examplePhi(peds, idlist, N = N, B = B, seed = seed, db = db, case ="Norwegian") # Example 1c Few markers, 8 CODIS markers codis8 = c("CSF1PO", "D3S1358", "D5S818", "D7S820", "D8S1179", "D13S317", "D16S539", "D18S51") db = NorwegianFrequencies[codis8] res3 = examplePhi(peds, idlist, N = N, B = B, seed = seed, db = db, case = "codis8") # Example 1d db1 = NorwegianFrequencies[c("SE33")] res4 = examplePhi(peds, idlist, N = N, B = B, seed = seed, db = db1, case = "db1") # Example 1e n = 10 # no of markers p = 0.5 freq = list() for (i in 1:(n-1)) freq[[i]] = list(afreq = c("1" = p, "2" = 1- p)) p = rep(1/100,100) names(p) = 1:100 freq[[10]] = list(afreq = p) res5 = examplePhi(peds, idlist, N = N, B = B, seed = seed, db = freq, case = "nonid") res = rbind(res1, res2, res3, res4, res5) save(res, file = "res27mar.Rdata")
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