R/tableHWE.R

`tableHWE` <-
function (x, strata, ...)
{
    if (!inherits(x, "setupSNP")) {
        stop("x must be an object of class 'setupSNP'")
    }
    
    colSNPs <- attr(x, "colSNPs")
# VM  seleccion incorrecta de datos!!  data.SNPs <- x[colSNPs,,drop=FALSE]
    data.SNPs <- x[ , colSNPs, drop=FALSE]
    tt <- mclapply( data.SNPs, table, ...)
    ans <- cbind( "HWE (p value)" = unlist(mclapply(tt, SNPHWE, ...)) )
    
    if (!missing(strata)) {

# VM buscar en x si existe
    	strata.name <- deparse(substitute(strata))
        if(!exists(strata.name) & strata.name %in% names(x)) {
            strata<-x[,strata.name]
        }
    	
        if (length(table(strata)) > 5) {
            stop("strata looks numeric")
        }
        strates <- names(table(strata) > 0)
        n.strata <- length(strates)
        i <- 1
        while (i <= n.strata) {
            data.SNPs.temp <- subset(data.SNPs, strata == strates[i])
#            tt <- apply(data.SNPs.temp, 2, table)
## VM fallaba si todos los SNPs devuelven 3 genotipos porque el resultado es una matriz, no lista
            tt <- mclapply(data.SNPs.temp, table, ...)
            temp <- cbind("HWE (p value)" = unlist(mclapply(tt, SNPHWE, ...)))
            ans <- cbind(ans, temp)
            i <- i + 1
        }
        dimnames(ans)[[2]] <- c("all groups", strates)
    }
    class(ans) <- c("tableHWE", "matrix")
    ans
}
isglobal-brge/SNPassoc documentation built on May 15, 2023, 8:10 p.m.