stats::median -- the median value
of discrete data
Introductionstats::median(..) returns the median of
discrete data.
Call(s)stats::median(x1, x2, ..)
stats::median([x1, x2, ..])
stats::median(s <, c>)
Parametersx1, 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. |
Returnsan arithmetical expression. FAIL is returned, if the
data are empty.
Related
Functionsstats::a_quantil,
stats::geometric,
stats::harmonic,
stats::mean, stats::modal, stats::quadratic, stats::stdev, stats::variance
Detailsstats::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.
Example
1We 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
Example
2We 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
Example
3We 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.