`varDifStatPP0.ExpandedGOProfile` <-
function(pn, p0 = NULL, funcProfP0 = NULL, simplify=T) {
pnName <- deparse(substitute(pn))
vecP0 <- NULL
vecFuncProfP0 <- NULL
if (!is.null(funcProfP0)) {
p0Name <- deparse(substitute(funcProfP0))
# ATENCIO!!!! FALTA MANEGAR funcProfP0 COM OBJECTE DE CLASSE FunctionalGOProfile:
# funcProfP0 <- as.FunctionalGOProfile(funcProfP0)
givenFuncProfP0 <- T
}
else if (!is.null(p0)) {
p0Name <- deparse(substitute(p0))
p0 <- as.ExpandedGOProfile(p0)
givenFuncProfP0 <- F
}
else stop("NULL reference or population profile")
var.jk <- function(i) {
j <- i %% ncolPn + 1
vecPn <- pn[,j]
names(vecPn) <- row.names(pn)
if (givenFuncProfP0) {
k <- i %% ncolFuncProfP0 + 1
vecFuncProfP0 <- funcProfP0[,k]
names(vecFuncProfP0) <- rownames(funcProfP0)
}
else {
k <- i %% ncolP0 + 1
vecP0 <- p0[,k]
names(vecP0) <- row.names(p0)
}
result.jk <- internal.varDifStatPP0(vecPn, p0=vecP0, funcProfP0=vecFuncProfP0)
if (!simplify)
attr(result.jk,"data.name") <- paste(pnName,"[",j,"] and ",p0Name,"[",k,"]", sep="")
result.jk
}
maxncol <- max(
ncolPn <- ncol(pn),
max(ncolP0 <- ncol(p0), ncolFuncProfP0 <- ncol(funcProfP0))
)
return(sapply(0:(maxncol-1), var.jk, simplify=simplify))
}
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