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#' Compare Time with a Benchmark
#'
#' @param time a column or vector of time values
#' @param benchmark benchmark
#' @param alpha alpha
#' @param remove_missing TRUE/FALSE remove missing values?
#' @return lower_ci, upper_ci, t, probability
#' @export
#' @importFrom dplyr filter
#' @importFrom stats pt sd qt
#' @importFrom tibble rownames_to_column
#' @importFrom huxtable as_hux position map_align by_cols print_screen
#' @importFrom stats dbinom na.omit pt qt sd
#' @examples
#' compare_benchmark_time(time = c(60, 53, 70, 42, 62, 43, 81),
#' benchmark = 60,
#' alpha = 0.05)
compare_benchmark_time <- function(benchmark, time, alpha, remove_missing = FALSE) {
n <- length(time)
t <- (log(benchmark) - mean(log(time)))/(sd(log(time))/sqrt(n))
df <- n-1
probability <- pt(q = t, df = df, lower.tail = FALSE)
se <- sd(log(time))/sqrt(n)
t1<- qt(p=alpha/2, df,lower.tail=F)
lower_ci <- exp(mean(log(time), na.rm = remove_missing) - se*t1)
upper_ci <- exp(mean(log(time), na.rm = remove_missing) + se*t1)
result <- data.frame(lower_ci = lower_ci,
upper_ci = upper_ci,
t = t,
probability = probability)
result2 <- result |>
t() |>
data.frame() |>
tibble::rownames_to_column("term") |>
data.frame() |>
huxtable::as_hux()
huxtable::position(result2) <- "left"
cli::cli_h1("Compare Time with a Benchmark")
result3 <- result2 |> dplyr::filter(!stringr::str_detect(term, "text_result"))
result3 <- huxtable::map_align(result3, huxtable::by_cols("left", "right"))
huxtable::print_screen(result3, colnames = FALSE)
result4 <- data.frame(result2)
return(invisible(result4))
}
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