Returns the Geomean and CI — gm_mean

Generates Geometric mean and confidence intervals using bootstrap.

gm_mean_ci(
  window,
  conf = 0.95,
  na.rm = TRUE,
  type = "basic",
  R = 1000,
  parallel = "no",
  ncpus = getOption("boot.ncpus", 1L),
  cl = NULL,
  zero.propagate = FALSE
)

Arguments

window: vector of data values
conf: confidence level of the required interval. NA if skipping calculating the bootstrapped CI
na.rm: logical TRUE/FALSE. Remove NAs from the dataset. Defaults TRUE
type: character string, one of c("norm","basic", "stud", "perc", "bca"). "all" is not a valid value. See boot.ci
R: the number of bootstrap replicates. see boot
parallel: The type of parallel operation to be used (if any). see boot
ncpus: integer: number of process to be used in parallel operation. see boot
cl: optional parallel or snow cluster for use if parallel = "snow". see boot
zero.propagate: logical TRUE/FALSE Allows the optional propagation of zeros.

Value

named list with geometric mean and (optionally) specified confidence interval