Generates Geometric mean and confidence intervals using bootstrap.
Usage
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. DefaultsTRUE
- type
character string, one of
c("norm","basic", "stud", "perc", "bca")
."all"
is not a valid value. Seeboot.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"
. seeboot
- zero.propagate
logical
TRUE/FALSE
Allows the optional propagation of zeros.