randomly select elements of an array

Hi How i can select randomly elements from a matrix o array
I have the matrix and i want to select "x" numbers of elements
thanks

 Risposta accettata

msize = numel(YourMatrix);
idx = randperm(msize);
YourMatrix(idx(1:x))
If you have a fairly new version of MATLAB, you can instead use
msize = numel(YourMatrix);
YourMatrix(randperm(msize, x))

10 Commenti

thanks. i will try it
how i can select randomly "N" rows of a matrix?
for example
M =
[ a12, a12]
[ a21, a22]
[ a31, a32]
[ a41, a42]
For N=2
B =
[ a12, a12]
[ a31, a32]
[ a21, a22]
>> A=[1 2 3; 4 5 6; 7 8 9]
A =
1 2 3
4 5 6
7 8 9
>> N=2; >> B=A((1:N),:)
B =
1 2 3
4 5 6
Hello Walter Roberson
If I want to find a random element in one row of a matrix, Could you help me How can I do?
For example I want to select a random element in last row of a matrix.
YourMatrix(end,randperm(size(YourMatrix,2), 1))
Hi Walter Roberson,
I want to select a random element from a column, for example from Column 1 or Column 2 or Column 3. Would you help me with the code?
Thank you!
YourMatrix(randi(size(YourMatrix,1)), ColumnNumber)
Thank you, Walter!
Hi walter, i want to select a random element from this array, help please
A={'Yellow','Green','Blue','Orange','Black','Grey','Red','Brown','Purple','White'};

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Più risposte (2)

Prasobhkumar P. P.
Prasobhkumar P. P. il 28 Lug 2020
Modificato: Walter Roberson il 3 Set 2021
histHandle= histfit(data,nBins,'normal');
[Val Ind] = max(histHandle(2).YData); %histHandle(2) corresponds to the curve fitted
M = histo18(2).XData(Ind);
Adam Wyatt
Adam Wyatt il 3 Set 2021
Modificato: Adam Wyatt il 3 Set 2021
Use "randsample"
For array:
Arry = [1 4 5 7 8 9];
Smpl = randsample(Arry, 3)
Smpl = 1×3
9 5 4
For strings:
Arry = ["Yellow" "Green" "Blue" "Orange" "Black" "Grey" "Red" "Brown" "Purple" "White"];
Smpl = randsample(Arry, 2)
Smpl = 1×2 string array
"Purple" "Brown"
How do you want to sample the matrix? If its any element, just convert to array (e.g. Mat(:)). Otherwise you have to apply the function to each row/column separately.

3 Commenti

Note: randsample() is from the Statistics and Machine Learning Toolbox
Is there any method/parameter with which we can reproduce same random series so that the different algorithms can be evaluated? I know that way it wont be a random series anymore still the psudorandomness can be helpful for multiple runs.
See the "Control Random Number Generation" topic on this documentation page.
Some older functions that use random numbers internally (like eigs, which generates a starting point at random if one is not given to it) have the ability to specify inputs that avoid the randomness (in the case of eigs by specifying v0 in the options structure or specifying the StartVector name-value pair argument.)

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