MedianCI {DescTools}  R Documentation 
Calculates the confidence interval for the median.
MedianCI(x, conf.level = 0.95, sides = c("two.sided", "left", "right"),
na.rm = FALSE, method = c("exact", "boot"), R = 999)
x 
a (nonempty) 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 
na.rm 
logical. Should missing values be removed? Defaults to 
method 
defining the type of interval that should be calculated (one out of 
R 
The number of bootstrap replicates. Usually this will be a single positive integer. See

The "exact" method is the way SAS is said to calculate the confidence interval. This is implemented in SignTest
and is extracted therefrom.
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.
a numeric vector with 3 elements:
median 
median 
lwr.ci 
lower bound of the confidence interval 
upr.ci 
upper bound of the confidence interval 
Andri Signorell <andri@signorell.net>
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")