stats::mean
-- the arithmetic
meanstats::mean
(data)
returns the arithmetic
mean of the data.
stats::mean(x1, x2, ..)
stats::mean([x1, x2, ..])
stats::mean(s <, c>)
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. |
an arithmetical expression.
stats::a_quantil
,
stats::geometric
,
stats::harmonic
,
stats::median
, stats::modal
, stats::quadratic
, stats::stdev
, stats::variance
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 arithmetic mean of three values:
>> stats::mean(a, b, c)
a b c - + - + - 3 3 3
Alternatively, the data may be passed as a list:
>> stats::mean([2, 3, 5])
10/3
We create a sample:
>> stats::sample([[a1, b1, c1], [a2, b2, c2]])
a1 b1 c1 a2 b2 c2
The arithmetic mean of the second column is:
>> stats::mean(%, 2)
b1 b2 -- + -- 2 2
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 harmonic mean 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::mean(%))
1245.666667
stats::sample
.