stats::median
-- the median value
of discrete datastats::median
(..)
returns the median of
discrete data.
stats::median(x1, x2, ..)
stats::median([x1, x2, ..])
stats::median(s <, c>)
x1, x2, .. |
- | the statistical data: numerical real values. |
s |
- | a sample of domain type stats::sample . |
c |
- | an integer representing a column index of the sample
s . This column provides the data x1 ,
x2 etc. |
an arithmetical expression. FAIL
is returned, if the
data are empty.
stats::a_quantil
,
stats::geometric
,
stats::harmonic
,
stats::mean
, stats::modal
, stats::quadratic
, stats::stdev
, stats::variance
stats::median
(data)
is equivalent to the call
stats::a_quantil(1/2, data)
. See the help page of stats::a_quantil
for details
on the parameters specifying the data.We calculate the median of a sequence of five values:
>> stats::median(3, 8, 5, 9/2, 11)
5
Alternatively, the data may be passed as a list:
>> stats::median([3, 8, 5, 9/2, 11])
5
We create a sample:
>> stats::sample([[4, 7, 5], [3, 6, 17], [8, 2, 2]])
4 7 5 3 6 17 8 2 2
The median of the second column is 6:
>> stats::median(%, 2)
6
We create a sample consisting of one string column and one non-string column:
>> stats::sample([["1996", 1242], ["1997", 1353], ["1998", 1142]])
"1996" 1242 "1997" 1353 "1998" 1142
The median of the second column is calculated. In this case this column does not have to be specified, since it is the only non-string column in the sample:
>> stats::median(%)
1242
stats::sample
.