MedianCI | R Documentation |
Calculate the confidence interval for the median.
MedianCI(
x,
conf.level = 0.95,
sides = c("two.sided", "left", "right"),
method = c("exact", "boot"),
na.rm = FALSE,
...
)
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 |
method |
defining the type of interval that should be calculated (one
out of |
na.rm |
logical. Should missing values be removed? Defaults to
|
... |
the dots are passed on to |
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.
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")
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")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.