SORT Sort
Section: Array Generation and Manipulations
Usage
Sorts an n-dimensional array along the specified dimensional. The first form sorts the array along the first non-singular dimension.B = sort(A)
Alternately, the dimension along which to sort can be explicitly specified
B = sort(A,dim)
FreeMat does not support vector arguments for dim - if you need A to be
sorted along multiple dimensions (i.e., row first, then columns), make multiple
calls to sort. Also, the direction of the sort can be specified using the
mode argument
B = sort(A,dim,mode)
where mode = 'ascend' means to sort the data in ascending order (the default),
and mode = 'descend' means to sort the data into descending order.
When two outputs are requested from sort, the indexes are also returned.
Thus, for
[B,IX] = sort(A) [B,IX] = sort(A,dim) [B,IX] = sort(A,dim,mode)
an array IX of the same size as A, where IX records the indices of A
(along the sorting dimension) corresponding to the output array B.
Two additional issues worth noting. First, a cell array can be sorted if each
cell contains a string, in which case the strings are sorted by lexical order.
The second issue is that FreeMat uses the same method as MATLAB to sort complex
numbers. In particular, a complex number a is less than another complex
number b if abs(a) < abs(b). If the magnitudes are the same then we
test the angle of a, i.e. angle(a) < angle(b), where angle(a) is the
phase of a between -pi,pi.
Example
Here are some examples of sorting on numerical arrays.--> A = int32(10*rand(4,3)) A = 8 9 3 7 2 1 3 0 3 3 10 5 --> [B,IX] = sort(A) B = 3 0 1 3 2 3 7 9 3 8 10 5 IX = 3 3 2 4 2 1 2 1 3 1 4 4 --> [B,IX] = sort(A,2) B = 3 8 9 1 2 7 0 3 3 3 5 10 IX = 3 1 2 3 2 1 2 1 3 1 3 2 --> [B,IX] = sort(A,1,'descend') B = 8 10 5 7 9 3 3 2 3 3 0 1 IX = 1 4 4 2 1 1 3 2 3 4 3 2
Here we sort a cell array of strings.
--> a = {'hello','abba','goodbye','jockey','cake'}
a =
[hello] [abba] [goodbye] [jockey] [cake]
--> b = sort(a)
b =
[abba] [cake] [goodbye] [hello] [jockey]