`MedianCI(x, conf.level = 0.95, sides = c("two.sided", "left", "right"), na.rm = FALSE, method = c("exact", "boot"), R = 999)`

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`

.na.rm

logical. Should missing values be removed? Defaults to

`FALSE`

.
method

defining the type of interval that should be calculated (one out of

`"exact"`

, `"boot"`

). Default is `"exact"`

. See Details.R

The number of bootstrap replicates. Usually this will be a single positive integer. See

`boot.ci`

for details.
`SignTest`

and is extracted from there.
The boot confidence interval type is calculated by means of `boot.ci`

with default type `"basic"`

.
Use `sapply`

, resp.`apply`

, to get the confidence intervals from a data.frame or from a matrix.
`wilcox.test`

, `MeanCI`

, `median`

, `HodgesLehmann`

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")