Working with cell arrays

I would like to separate columns in an array based on the unique values of the first column. I think the way to do this is a cell array since the vectors would be of different length. Is there a way to vectorize this? For example, the following array

example = [

5 2.3 1.7

5 0.2 9.1

99 3.3 3.6

99 4.1 3.2

99 5.1 2.2

103 1.1 6.8

];

should give

A{1} = [2.3,0.2];

A{2} = [3.3,4.1,5.1];

A{3} = [1.1];

B{1} = [1.7,9.1];

B{2} = [3.6,3.2,2.2];

B{3} = [6.8];

(since there are three unique values in column 1 of the example)

Answer 1

[Paul]

example = [
5 2.3 1.7
5 0.2 9.1
99 3.3 3.6
99 4.1 3.2
99 5.1 2.2
103 1.1 6.8
];

G = findgroups(example(:,1));
A = splitapply(@(x) mat2cell(x,numel(x)),example(:,2),G);
B = splitapply(@(x) mat2cell(x,numel(x)),example(:,3),G);
A,B

A = 3×1 cell array
    {2×1 double}
    {3×1 double}
    {[  1.1000]}

B = 3×1 cell array
    {2×1 double}
    {3×1 double}
    {[  6.8000]}

A{1}

ans = 2×1

2.3000 0.2000

B{1}

ans = 2×1

1.7000 9.1000

[Stephen23]

Also without the MAT2CELL call:

X = [
    5 2.3 1.7
    5 0.2 9.1
    99 3.3 3.6
    99 4.1 3.2
    99 5.1 2.2
    103 1.1 6.8
    ];
G = findgroups(X(:,1));
A = accumarray(G,X(:,2),[],@(a){a});
B = accumarray(G,X(:,3),[],@(a){a});
A,B

A = 3×1 cell array
    {2×1 double}
    {3×1 double}
    {[  1.1000]}

B = 3×1 cell array
    {2×1 double}
    {3×1 double}
    {[  6.8000]}

A{1}

ans = 2×1

2.3000 0.2000

B{1}

ans = 2×1

1.7000 9.1000