DescTools (version 0.99.57)

MedianCI: Confidence Interval for the Median

Description

Calculate the confidence interval for the median.

Usage

MedianCI(
  x,
  conf.level = 0.95,
  sides = c("two.sided", "left", "right"),
  method = c("exact", "boot"),
  na.rm = FALSE,
  ...
)

Value

a numeric vector with 3 elements:

median

median

lwr.ci

lower bound of the confidence interval

upr.ci

upper bound of the confidence interval

Arguments

x

a (non-empty) numeric vector of data values.

conf.level

confidence level of the interval

sides

a character string specifying the side of the confidence interval, must be one of "two.sided" (default), "left" or "right". You can specify just the initial letter. "left" would be analogue to a hypothesis of "greater" in a t.test.

method

defining the type of interval that should be calculated (one out of "exact", "boot"). Default is "exact". See Details.

na.rm

logical. Should missing values be removed? Defaults to FALSE.

...

the dots are passed on to boot.ci. In particular, the type of bootstrap confidence interval can be defined via this. The defaults are R=999 and type="perc".

Author

Andri Signorell

Details

The "exact" method is the way SAS is said to calculate the confidence interval. This is also implemented in SignTest. The boot confidence interval type is calculated by means of boot.ci with default type "perc".
Use sapply, resp.apply, to get the confidence intervals from a data.frame or from a matrix.

See Also

wilcox.test, MeanCI, median, HodgesLehmann

Examples

MedianCI(d.pizza$price, na.rm=TRUE)
MedianCI(d.pizza$price, conf.level=0.99, na.rm=TRUE)

t(round(sapply(d.pizza[,c("delivery_min","temperature","price")], MedianCI, na.rm=TRUE), 3))

MedianCI(d.pizza$price, na.rm=TRUE, method="exact")
MedianCI(d.pizza$price, na.rm=TRUE, method="boot")


x <- runif(100)

set.seed(448)
MedianCI(x, method="boot")

# ... the same as
set.seed(448)
MedianCI(x, method="boot", type="bca")

MedianCI(x, method="boot", type="basic")
MedianCI(x, method="boot", type="perc")
MedianCI(x, method="boot", type="norm", R=499)
# not supported:
MedianCI(x, method="boot", type="stud")

MedianCI(x, method="boot", sides="right")