The dataset data type might be removed in a future release. To work with heterogeneous data, use the MATLAB® table data type instead. See MATLAB table documentation for more information.
C = setxor(A,B)
C = setxor(A,B,vars)
C = setxor(A,B,vars,setOrder)
[C,iA,iB] = setxor(___)
C = setxor(A,B) for dataset arrays A and B returns the set of observations that are not in the intersection of the two arrays, with repetitions removed. The observations in the dataset array C are sorted.
C = setxor(A,B,vars) returns the set of observations that are not in the intersection of the two arrays, considering only the variables specified in vars, with repetitions removed. The observations in the dataset array C are sorted by these variables. The values for variables not specified in vars for each observation in C are taken from the corresponding observation in A or B. If there are multiple observations in A or B that correspond to an observation in C, those values are taken from the first occurrence.
[C,iA,iB] = setxor(___) also returns index vectors iA and iB such that C is a sorted combination of the values A(iA,:) and B(iB,:). If there are repeated observations in A or B, then setxor returns the index of the first occurrence. You can use any of the previous input arguments.
Input dataset arrays.
Cell array of strings containing variable names or a vector of integers containing variable column numbers, indicating the variables in A and B that setxor considers.
Specify vars as  to use its default value of all variables.
Flag indicating the sorting order for the observations in C. The possible values of setOrder are:
Dataset array with the observations not in the intersection of A and B, with repetitions removed. C is in sorted order (by default), or the order specified by setOrder.
Index vector, indicating the observations from A that are in C. The vector iA contains the index to the first occurrence of any repeated observations in A.
Index vector, indicating the observations from B that are in C. The vector iB contains the index to the first occurrence of any repeated observations in B.
Create a scalar structure array, and then convert it into two dataset arrays.
S(1,1).Name = 'CLARK'; S(1,1).Gender = 'M'; S(1,1).SystolicBP = 124; S(1,1).DiastolicBP = 93; S(2,1).Name = 'BROWN'; S(2,1).Gender = 'F'; S(2,1).SystolicBP = 122; S(2,1).DiastolicBP = 80; S(3,1).Name = 'MARTIN'; S(3,1).Gender = 'M'; S(3,1).SystolicBP = 130; S(3,1).DiastolicBP = 92; A = struct2dataset(S(1:2)); B = struct2dataset(S(2:3));
The intersection of A and B is the second observation, with last name BROWN.
Return the symmetric difference of A and B.
[C,iA,iB] = setxor(A,B); C
C = Name Gender SystolicBP DiastolicBP 'CLARK' 'M' 124 93 'MARTIN' 'M' 130 92
ans = 1 2
The symmetric difference contains the first observation from A, and the second observation from B.