`Bonferroni.sig` <-
function (x, model = "codominant", alpha = 0.05, include.all.SNPs = FALSE)
{
if (!inherits(x, "WGassociation"))
stop("x must be a 'WGassociation' object")
x <- attr(x, "pvalues")
model.type <- names(x)
m <- charmatch(model, model.type, nomatch = 0)
if (m == 0)
stop("this model is was not fitted")
temp1 <- grep("no", as.character(x[, m ]))
temp2 <- c(1:nrow(x))[is.na(x[, m ])]
temp <- c(temp1, temp2)
if (!(include.all.SNPs) & length(temp)>=1) {
x <- x[-temp, c(1, (m ))]
cut.p <- alpha/nrow(x)
}
else cut.p <- alpha/nrow(x)
message("number of tests: ", nrow(x))
message("alpha: ", alpha)
message("corrected alpha: ", cut.p)
significant <- x[as.numeric(x[, 2]) <= cut.p, ]
if (all(is.na(significant))) {
message(" No significant SNPs after Bonferroni correction ")
ans <- NULL
}
else {
ans <- significant
print(as.matrix(ans), na.print = "-", quote = FALSE)
}
invisible(ans)
}
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