Averages/Arithmetic mean: Difference between revisions
Content added Content deleted
(→{{header|ALGOL 68}}: ++ awk) |
(→{{header|Haskell}}: ++ gnu octave) |
||
| Line 223: | Line 223: | ||
colmeans = sum(b,2)/max(size(b,1),1) ! SUM elements in each column (dimension 2) |
colmeans = sum(b,2)/max(size(b,1),1) ! SUM elements in each column (dimension 2) |
||
! dividing by the length of the column, which is the number of rows (SIZE of dimension 1)</lang> |
! dividing by the length of the column, which is the number of rows (SIZE of dimension 1)</lang> |
||
=={{header|GNU Octave}}== |
|||
GNU Octave has a <tt>mean</tt> function (from statistics package), but it does not handle an empty vector; an implementation that allows that is: |
|||
<lang octave>function m = omean(l) |
|||
if ( numel(l) == 0 ) |
|||
m = 0; |
|||
else |
|||
m = mean(l); |
|||
endif |
|||
endfunction |
|||
disp(omean([])); |
|||
disp(omean([1,2,3]));</lang> |
|||
=={{header|Haskell}}== |
=={{header|Haskell}}== |
||