Let's say I have two datasets, both consisting of an x and y array, e.g.:
x_1 = [1 2 3 4 5 6 7 8 9 10];
y_1 = [8 12 20 3 4 9 10 55 3 2];
x_2 = [2 5 6 8 9];
y_2 = [4 18 3 12 1];
Now, I'd like to calculate a new metric z = y_1 ./ y_2 but I want to compare elements of y_1 by elements of y_2 with the same x, value:
z = [12 4 9 55 3 2] ./ [4 18 3 12 1]
How can I then find this second array containing only the values of y_2 with a corresponding x_2 value that occurs in x_1 in an efficient way?
So far, I came up with this solution but I doubt it's the most efficient possibility:
for i = 1:numel(x_2)
z(i) = y_2(i) / y_1(y_1 == x_2(i));
end
Since looping over elements can generally be avoided in Matlab, I assume there's better ways to do this.
So basically, I want to resample the second dataset to make its x_2 array equal to x_1
You can vectorize this using ismember:
[Lia,Locb] = ismember(x_1, x_2);
z = y_1(Lia) ./ y_2(nonzeros(Locb).');
Whether you should or not is another question. Avoiding loops in MATLAB is largely an obsolete strategy since MATLAB started introducing the JIT compilation engine. I have my doubts that vectorized version will be any faster than the for-loop, except maybe for the largest datasets, and I don't believe it is any more readable. YMMV
Similar to previous answer, but shorter:
y_1(ismember(x_1,x_2))./y_2
Note: I've checked this on Octave, as don't have Matlab license.
Related
I have a 30 x 30 matrix, called A, and I want to assign B as the leftmost 30 x 20 block of A how can I do that?
Is this the correct way to do it?
B = A[30 ; 20]
No the correct way is
B = A(:, 1:20);
where : is shorthand for all of the rows in A.
Matrix indexing in MATLAB uses round brackets, (). Square brackets, [], are used to declare matrices (or vectors) as in
>> v = [1 2 3; 4 5 6; 7 8 9]
v =
1 2 3
4 5 6
7 8 9
excaza provides a very good link on Matrix Indexing in MATLAB which should help you. There is also Matrix Indexing.
A_new = A(:,1:20)
takes all the rows from A with this part A(:,) and the first 20 columns with this part A(,1:20)
A_newis now 30x20
You can also iterate over elements in two loops, but the above answer is easiest
I am a bit new in using Matlab, and I have a question about defining a multivariable function for vector input.
If the function is a single function, say f(t), I know how to make it for vector input. The general way is to use arrayfun after defining a f(t). How about for multivariable function, say f(x,y)? What I want to do is to get two inputs, say [1 2 3] for x and [4 5 6 7] for y (dimension may be different, but both of them are either column vector or row vector) so that I can calculate to give
[f(1,4),f(1,5),f(1,6),f(1,7);
f(2,4),f(2,5),f(2,6),f(2,7);
f(3,4),f(3,5),f(3,6),f(3,7)]
The difficulty is that the vector input for x and y may not be in the same dimension.
I understand it may be difficult to illustrate if I do not have an example of f(x,y). For my use of f(x,y), it may be very complicated to display f(x,y). For simplicity, treat f(x,y) to be x^2+y, and once defined, you cannot change it to x.^2+y for vector inputs.
Here is a set of suggestions using ndgrid:
testfun = #(x,y) x^2+y; % non-vectorized form
x = 1:3;
y = 4:7;
[X,Y] = ndgrid(x,y);
% if the function can be vectorized (fastest!):
testfun_vec = #(x,y) x.^2+y; % vectorized form
A = testfun_vec(X,Y);
% or without ndgrid (also super fast):
B = bsxfun(testfun_vec,x.',y); % use the transpose to take all combinations
% if not, or if it's not bivariate operation (slowest):
C = arrayfun(testfun,X(:),Y(:));
C = reshape(C,length(x),length(y));
% and if you want a loop:
D = zeros(length(x),length(y));
for k = 1:length(X(:))
D(k) = testfun(X(k),Y(k));
end
Which will output for all cases (A,B,C and D):
5 6 7 8
8 9 10 11
13 14 15 16
As mentioned already, if you can vectorize your function - this is the best solution, and if it has only two inputs bsxfun is also a good solution. Otherwise if you have small data and want to keep your code compact use arrayfun, if you are dealing with large arrays use an un-nested for loop.
Here is the code using for loops and inline functions:
x = [1 2 3];
y = [4 5 6 7];
f = #(x,y) x^2 +y;
A = zeros(length(x), length(y));
for m = 1:length(x)
for n = 1:length(y)
A(m, n) = f(x(m), y(n));
end
end
disp(A);
Result:
A =
5 6 7 8
8 9 10 11
13 14 15 16
>> x = [1 2 3];
>> y = [4 5 6 7];
>> outValue = foo(x, y);
>> outValue
outValue =
5 6 7 8
8 9 10 11
13 14 15 16
Make this function:
function out = foo(x, y)
for i = 1 : length(x)
for j = 1 : length(y)
out(i, j) = x(i)^2 + y(j);
end
end
I have a 30 x 30 matrix, called A, and I want to assign B as the leftmost 30 x 20 block of A how can I do that?
Is this the correct way to do it?
B = A[30 ; 20]
No the correct way is
B = A(:, 1:20);
where : is shorthand for all of the rows in A.
Matrix indexing in MATLAB uses round brackets, (). Square brackets, [], are used to declare matrices (or vectors) as in
>> v = [1 2 3; 4 5 6; 7 8 9]
v =
1 2 3
4 5 6
7 8 9
excaza provides a very good link on Matrix Indexing in MATLAB which should help you. There is also Matrix Indexing.
A_new = A(:,1:20)
takes all the rows from A with this part A(:,) and the first 20 columns with this part A(,1:20)
A_newis now 30x20
You can also iterate over elements in two loops, but the above answer is easiest
Lets say I have matrix such that A(:,:,1)=[1,2,3;2,3,4], A(:,:,2)=[3,4,5;4,5,6].
How is the easiest way of accessing and plotting the vectors (1,2,3),(2,3,4),(3,4,5),(4,5,6). I tried creating B=[A(:,:,1);A(:,:,2)], but i need a procedure to arbitrary number of A's.
Hope this isn't trivial and I've formulated myself satisfactory.
You should think 'vertically'. This will allow you to use colon indexing:
>> A(:,:,1) = [1,2,3;2,3,4].'; %'// NOTE: transpose of your original
>> A(:,:,2) = [3,4,5;4,5,6].'; %'// NOTE: transpose of your original
>> A(:,:)
ans =
1 2 3 4
2 3 4 5
3 4 5 6
The colon indexing with two colons works for any dimension A:
>> A(:,:,:,:,1,1) = [1 2 3; 2 3 4].'; %'
>> A(:,:,:,:,2,1) = [3 4 5; 4 5 6].'; %'
>> A(:,:,:,:,1,2) = [5 6 7; 6 7 8].'; %'
>> A(:,:,:,:,2,2) = [7 8 9; 8 9 0].'; %'
>> A(:,:)
ans =
1 2 3 4 5 6 7 8
2 3 4 5 6 7 8 9
3 4 5 6 7 8 9 0
Colon indexing in MATLAB is quite interesting and really powerful once you master it. For example, if you use fewer colons than there are dimensions in the array (like above), MATLAB will automatically concatenate the remainder of the data along the dimension equal to the colon count.
So, if A has 48 dimensions, but you index with just 2 colons: you'll get a 2D array, that is the concatenation of the remaining 46 dimensions along the 2nd dimension.
In general: if A has N dimensions, but you index with just M ≤ N colons: you'll get an M-D array, that is the concatenation of the remaining N-M dimensions along the Mth dimension.
So as long as you are free to define your A to contain vectors on the columns rather than the rows (you should advise everyone to do this, as virtually everything in MATLAB is a bit faster that way), I think this is the fastest and most elegant way to do what you want.
If not, well, then just reshape like Dan :)
Assuming the order does not matter, here is how you can do it for vectors of length 3:
B = reshape(shiftdim(A,2), [], 3)
plot(B')
For vectors of arbitrary dimensions, replace 3 by size(A,2)
I don't have the package for nlfilter and I didn't quite follow this example.
I have a really simple function fun and I want to apply it to a moving window of an array. The array is Nx1, and I want to look at length k intervals, say. So for N=10 and k=3 and fun = #(x) min(x); I would get
A = [13 14 2 14 10 3 5 9 15 8];
filter(A,k,fun) = [2 2 2 3 3 3 5 8];
Here I only want to look at indices 1,2,3 then 2,3,4 then ... then 8,9,10, so the final sequence is length 7. I can do this easy with a for loop, but I have no idea how to vectorize it for Matlab. Help, please. Thanks.
Here is one very simple and fast way to do it:
>> min([A(1:(end-2)); A(2:(end-1)); A(3:end)], [], 1)
ans =
2 2 2 3 3 3 5 8
EDIT: Since you want a full function...
function running_min = running_min(x, k)
xrep = repmat(x, 1, k);
xrep = reshape([xrep zeros(1, k)], length(x)+1, k);
running_min = min(xrep, [], 2)';
running_min = running_min(1:end-k);
The post you mentioned gave a general solution for building sliding windows (you could control: overlapping vs. distinct, slide step, overlap amount, windows size)
In your case, it is much simpler and can be easily performed with the HANKEL function:
x = [13 14 2 14 10 3 5 9 15 8];
idx = hankel(1:3, 3:length(x))
min( x(idx) )
If you want to build a reusable solution:
function y = myFilter(x,k,fcn)
idx = hankel(1:k, k:length(x));
y = cellfun(fcn, num2cell(x(idx),1));
end
which we use as:
x = [13 14 2 14 10 3 5 9 15 8];
y = myFilter(x, 3, #(x)min(x))
Note I am using CELLFUN in case fcn cannot operate across dimensions in a vectorized manner...