Nothing
`WGassociation` <-
function (formula, data, model=c("all"), quantitative = is.quantitative(formula,
data), genotypingRate = 80, level=0.95, ...)
{
if(!inherits(data,"setupSNP"))
stop("data must be an object of class 'setupSNP'")
if (length(attr(data,"colSNPs")) > 2000 & (length(model) > 1 | any(model%in%"all")))
stop("Select only one genetic model when more than 2000 SNPs are analyzed \n or use 'scanWGassociation' function")
cl <- match.call()
mf <- match.call(expand.dots = FALSE)
m0 <- match(c("formula", "data"), names(mf), 0)
mf <- mf[c(1, m0)]
#
# aceptar respuesta sin formula
#
if( length(grep("~",mf[[2]]))==0){
formula<-as.formula(paste(mf[[2]],"~1",sep=""))
formula.1<- list(formula)
mode(formula.1)<-"call"
mf[2]<-formula.1
}
mf[[1]] <- as.name("model.frame")
mf <- eval(mf, parent.frame())
mt <- attr(mf, "terms")
temp0 <- as.character(mt)
adj <- paste(temp0[2], temp0[1], temp0[3])
Terms <- if (missing(data))
terms(formula)
else terms(formula, data = data)
ord <- attr(Terms, "order")
if (any(ord > 1))
stop("interaction term is not implemented")
association.i<-function(snp.i,adj,data,model,quantitative,genotypingRate,level, ...)
{
association( as.formula(paste(adj,"+",snp.i)) , data=data,
model=model, quantitative=quantitative, genotypingRate=
genotypingRate, level=level, ...)
}
colSNPs<-attr(data,"colSNPs")
if (! (is.vector(colSNPs) & length(colSNPs) > 0)) stop("data should have an attribute called 'colSNPs'. Try again 'setupSNP' function")
# if (is.vector(colSNPs) & length(colSNPs) > 1)
# dataSNPs <- data[, colSNPs]
# else stop("data should have an attribute called 'colSNPs'. Try again 'setupSNP' function")
type<-charmatch(model,c("codominant","dominant","recessive","overdominant","log-additive","all"))
type<-sort(type)
if (any(type%in%6))
type<-1:5
if(any(is.na(type)))
stop("model must be 'codominant','dominant','recessive','overdominant',
'log-additive', 'all' or any combination of them")
SNPs<-attr(data,"label.SNPs")
tab<-mclapply(SNPs, association.i, adj=adj, data=data, model=model,
quantitative=quantitative, genotypingRate=
genotypingRate, level=level, ...)
names(tab)<-SNPs
attr(tab,"label.SNPs")<-attr(data,"label.SNPs")
attr(tab,"models")<-type
attr(tab,"quantitative")<-quantitative
out<-extractPval(tab)
attr(out,"tables")<-tab
attr(out,"label.SNPs")<-attr(data,"label.SNPs")
attr(out,"models")<-type
attr(out,"quantitative")<-quantitative
attr(out,"pvalues")<-out
attr(out,"gen.info")<-attr(data,"gen.info")
attr(out,"whole")<-attr(data,"whole")
attr(out,"colSNPs")<-attr(data,"colSNPs")
class(out)<-c("WGassociation","data.frame")
out
}
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