frequency.dist.ungrouped <- function(x, na.rm = T) {
tbl.x <- table(x, useNA = ifelse(na.rm, "no", "ifany"))
d <- data.frame(value = names(tbl.x), count = rmnames(as.vector(tbl.x)))
names(d) <- c("value", "freq")
if (is.factor(d$value)) {
d$value <- as.numeric(levels(d$value)[d$value])
} else if (is.character(d$value)) {
d$value <- as.numeric(d$value)
}
if (nrow(d) > 1) {
total.n <- sum(d$freq)
d$rel.freq <- d$freq/ total.n
d$cum.up <- cumsum(d$rel.freq)
d$cum.down <- c(1, (1-d$cum.up)[1:(nrow(d)-1)])
} else {
d$rel.freq <- 1
d$cum.up <- 1
d$cum.down <- 1
}
d
}
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