`summary.WGassociation` <-
function(object,pSig=0.000001,...)
{
if (!inherits(object, "WGassociation"))
stop("object must be of class 'WGassociation'")
genes<-attr(object,"gen.info")
if (is.null(genes)){
aux<-attr(object,"pvalues")
info0<-nrow(aux)
info1<-round((table(factor(aux[,1],levels=c("Genot error","Monomorphic")))/info0)*100,1)
nSig<-sum(aux[,2]<=pSig,na.rm=TRUE)
info2<-c(nSig,round((nSig/info0)*100,1))
info<-c(info0,info1,info2)
ans<-rbind(info)
rownames(ans)<-""
colnames(ans)<-c("SNPs (n)","Genot error (%)","Monomorphic (%)","Significant* (n)","(%)")
}
else {
SNPs<-attr(object,"label.SNPs")
pval<-attr(object,"pvalues")
nSNPs<-table(genes[,2])
chr.l <- names(nSNPs)
if(length(chr.l)==22)
o<-orderChromosome(chr.l)
else
o<-c(1:length(chr.l))
chr <- chr.l[o]
nSNPs.o<-nSNPs[o]
info<-matrix(NA,nrow=length(chr),ncol=5)
for (i in 1:length(chr))
{
info0<-nSNPs.o[i]
temp<-genes[genes[,2]==chr[i],]
aux<-pval[dimnames(pval)[[1]]%in%temp[,1],]
info1<-round((table(factor(aux[,1],levels=c("Genot error","Monomorphic")))/nrow(aux))*100,1)
nSig<-sum(aux[,2]<=pSig,na.rm=TRUE)
info2<-c(nSig,round((nSig/nrow(aux))*100,1))
info[i,]<-c(info0,info1,info2)
}
ans<-data.frame(info)
names(ans)<-c("SNPs (n)","Genot error (%)","Monomorphic (%)",
"Significant* (n)","(%)")
dimnames(ans)[[1]]<-chr
}
print(ans)
cat("\n *Number of statistically significant associations at level", pSig)
cat("\n")
invisible(ans)
}
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