stats::variance
-- the
variancestats::variance
(data)
returns the variance
of the data.
stats::variance(x1, x2... <, Sample>)
stats::variance([x1, x2...] <, Sample>)
stats::variance(s <, c> <, Sample>)
x1, x2, ... |
- | the statistical data: arithmetical expressions. |
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. |
Sample |
- | with this option the given data are regarded as a ``sample'', not a as a full population. |
an arithmetical expression.
stats::a_quantil
,
stats::geometric
,
stats::harmonic
,
stats::mean
, stats::median
, stats::modal
, stats::quadratic
, stats::stdev
c
is optional, if the data are given
by a stats::sample
object containing only one non-string column. Cf. example 3.We calculate the variance of three values:
>> stats::variance(2, 3, 5)
14/9
Alternatively, the data may be passed as a list:
>> stats::variance([2, 3, 5])
14/9
We create a sample:
>> stats::sample([[a1, b1, c1], [a2, b2, c2]])
a1 b1 c1 a2 b2 c2
The variance of the second column is:
>> expand(stats::variance(%, 2))
2 2 b1 b1 b2 b2 --- - ----- + --- 4 2 4
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
We compute the variance of the second column. In this case this column does not have to be specified, since it is the only non-string column:
>> float(stats::variance(%))
7426.888889
We repeat the computation with the option Sample:
>> float(stats::variance(%2, Sample))
11140.33333
stats::sample
.