# MedianCI

From DescTools v0.99.19
by Andri Signorell

##### Confidence Interval for the Median

Calculates the confidence interval for the median.

- Keywords
- univar

##### Usage

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

##### 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`

. - 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.

##### Details

The exact method is the way SAS is said to calculate the confidence interval. This is implemented in `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.

##### Value

##### See Also

##### 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")
```

*Documentation reproduced from package DescTools, version 0.99.19, License: GPL (>= 2)*

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