#' Add Up Partial Confidence Intervals to a Total CI
#'
#' Starting with a response variable that obtains different
#' confidence intervals (CI) when calculated with different
#' explanatory variables, all the values of the response variable
#' should be added up. This function returns the CI for the sum.
#'
#' @param x a matrix with 3 columns, containing the estimate in the first column
#' followed by the lower and the upper confidence interval .
#' @return a vector with the sum and the lower, upper confidence
#' bound of the confidence interval
#' @author Andri Signorell <andri@signorell.net>
#' @seealso \code{\link{BinomCI}},
#' @references \url{https://stats.stackexchange.com/questions/223924/how-to-add-up-partial-confidence-intervals-to-create-a-total-confidence-interval}
#' @examples
#' x <- do.call(rbind,
#' tapply(d.pizza$delivery_min,
#' d.pizza$area, MeanCI))
#' SumCI(x)
#'
SumCI <- function(x){
# https://stats.stackexchange.com/questions/223924/how-to-add-up-partial-confidence-intervals-to-create-a-total-confidence-interval
# x is a matrix with est, lci, uci
# define half width of ci
ci <- x[, 3] - x[, 1]
# half ci for the sum is sqrt(sum(ci^2))
ci_sum <- sqrt(sum(ci^2))
res <- SetNames(sum(x[, 1]) + c(0,-1,1) * ci_sum,
names=c("sum", "lwr.ci", "upr.ci"))
return(res)
}
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