Confidence Interval for the Median
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 (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 |
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>
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")Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.