Getting "Array indices must be positive integers or logical values". Error
Error in cross_correlation (line 17)
tij_lm(l, m) = min([i(l + 1) - i(l), i(l) - i(l - 1), j(m + 1) - j(m), j(m) - j(m - 1)]) / 2;
Heres my code, why do I get the error?
% Example data for time series i and j
i = [1, 2, 3, 4, 5];
j = [1.5, 3, 4.5];
% Call the cross_correlation function with the example data
[Cxy, Jij, tij_lm] = cross_correlation(i, j);
function [Cxy, Jij, tij_lm] = cross_correlation(i, j)
% Inputs:
% i - time series data for variable i
% j - time series data for variable j
% Compute the length of time series i and j
Si = length(i);
Sj = length(j);
% Initialize Jij and tij_lm matrices
Jij = zeros(Si, Sj);
tij_lm = zeros(Si, Sj);
% Compute Jij and tij_lm for each l and m
for l = 1:Si
for m = 1:Sj
tij_lm(l, m) = min([i(l + 1) - i(l), i(l) - i(l - 1), j(m + 1) - j(m), j(m) - j(m - 1)]) / 2;
if 0 < i(l) - j(m) && i(l) - j(m) < tij_lm(l, m)
Jij(l, m) = 1;
elseif i(l) == j(m)
Jij(l, m) = 0.5;
else
Jij(l, m) = 0;
end
end
end
% Compute the cross correlation value C(x/y)
Cxy = sum(sum(Jij));
end
