Nothing
"ccfast.new" <-
function(y,data,snpsubset,idsubset,quiet=FALSE) {
if (!is(data,"gwaa.data")) stop("wrong type of data argument, must be gwaa.data")
if (!missing(snpsubset)) data <- data[,snpsubset]
if (!missing(idsubset)) data <- data[idsubset,]
if (any(data@gtdata@chromosome=="X") & dim(table(data@gtdata@male))>1) {
data <- data[,data@gtdata@chromosome!="X"]
if (!quiet) cat("X-chromosome data dropped\n")
}
# attach(data@phdata,warn.conflicts=FALSE,pos=2)
# cc <- get(y,pos=2)
# detach(data@phdata)
cc <- phdata(data)[[y]]
if (length(levels(as.factor(cc)))<2) stop("cc status is monomorphic!")
if (length(levels(as.factor(cc)))>2) stop("cc status has more than 2 levels!")
if (levels(as.factor(cc))[1] != 0 || levels(as.factor(cc))[2] != 1) stop ("cc is case-control status, with 0 as control and 1 as cases. No 0 and/or 1 found in the data")
if (any(is.na(cc))) {
if (!quiet) warning(paste(sum(is.na(cc)),"people (out of",length(cc),") excluded as not having cc status\n"),immediate. = TRUE)
vec <- !is.na(cc)
data <- data[vec,]
cc1 <- cc[!is.na(cc)]
} else {
cc1 <- cc
}
rm(cc)
a <- fcc.new(data@gtdata,cc1)
lena <- data@gtdata@nsnps
out <- list()
out$Padd <- a[1:lena] #(1. - pchisq(a[1:lena],1))
# out$medadd <- median(a[1:lena])
out$Pdom <- a[(lena+1):(2*lena)] #(1. - pchisq(a[(lena+1):(2*lena)],1))
# out$meddom <- median(a[(lena+1):(2*lena)])
out$Prec <- a[(2*lena+1):(3*lena)] #(1. - pchisq(a[(2*lena+1):(3*lena)],1))
# out$medrec <- median(a[(2*lena+1):(3*lena)])
out$effadd <- a[(3*lena+1):(lena*4)]
out$effdom <- a[(4*lena+1):(lena*5)]
out$effrec <- a[(5*lena+1):(lena*6)]
rm(a);gc(verbose=FALSE)
out$name <- data@gtdata@snpnames
out$formula <- match.call()
out$family <- "chi-square 1 and 2 d.f."
out$map <- data@gtdata@map
out$chromosome <- data@gtdata@chromosome
out$ids <- data@gtdata@idnames
# out$lambda <- estlambda(out$P1df,plot=FALSE,prop=0.9)
class(out) <- "scan.gwaa"
out
}
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