Nothing
internal.equivalentGOProf <- function(pn, qm, pqn0, n, m, n0, confidence, d0, equivEpsilon)
{
dataNames <- paste(deparse(substitute(pn)), " and ", deparse(substitute(qm)), " and ", deparse(substitute(pqn0)), sep="")
fullNams <- unique(c(names(pn),names(qm),names(pqn0)))
pn <- fullGOProfile(pn, fullNams)
qm <- fullGOProfile(qm, fullNams)
pqn0 <- fullGOProfile(pqn0, fullNams)
contrPn <- contractedProfile.default(pn)
if (is.null(qm)) {
# equivalence of a profile with a subset of it
d <- dEuclid2(contrPn, contrQm <- contractedProfile.default(pqn0))
m <- n0
} else {
if (is.null(pqn0)) {
# equivalence of two disjoint profiles (no gens in common)
d <- dEuclid2(contrPn, contrQm <- contractedProfile.default(qm))
}
else {
# equivalence of two intersecting profiles (some genes are specific of pn, some are specific of qm, and some common genes are profiled in pqn0)
d <- dEuclid2(contrPn, contrQm <- contractedProfile.default(qm))
}
}
s <- sum((contrPn[,3] + contrQm[,3]) > 0) # classes being compared in the profiles
if (is.null(d0))
d0 <- s * equivEpsilon * equivEpsilon
names(d) <- "sample squared Euclidean distance"
se <- sqrt(internal.varDifStatPnQm(pn=pn, qm=qm, pqn0 = pqn0) * ((n+m)/(n*m)))
names(se) <- "distance standard error"
attr(d,"se") <- se
icDistance.oneSided <- c(0, d.upper <- d + qnorm(confidence) * se)
names(icDistance.oneSided) <- c("origin", "one-sided upper")
stat <- (d - d0) / se
names(stat) <- "(d - d0) / se(d)"
attr(stat,"se") <- NULL
pval <- pnorm(stat)
names(pval) <- NULL
params <- c(d0, n, m)
names(params) <- c("d0", "n", "m")
result <- list(
statistic = stat,
parameter = params,
p.value = pval,
conf.int = icDistance.oneSided,
estimate = d,
data.name = dataNames,
alternative = paste("Equivalence or similarity, true squared Euclidean distance between the contracted profiles is less than ",
d0, sep=""),
profilePn = contrPn,
profileQm = contrQm
)
class(result) <- "htest"
return(result)
}
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