Hi,
One way to replace missing values currently represented as 0 is to use interpolation. Start by identifying the indices of the zeros in your dataset. Then, apply the “interp1” function to perform the interpolation. Refer to the pseudo code below for a better understanding:
% Step 1: Load the data
data = readmatrix('your_dataset.txt');
% Step 2: Interpolate to replace zeros
for col = 1:size(data, 2)
x = 1:size(data, 1); % Indices of the data
y = data(:, col); % Data values
% Find indices of non-zero and zero elements
nonZeroIndices = y ~= 0;
zeroIndices = y == 0;
% Perform interpolation only if there are non-zero elements
if any(nonZeroIndices)
% Interpolate only non-zero elements
yInterpolated = interp1(x(nonZeroIndices), y(nonZeroIndices), x(zeroIndices), 'linear', 'extrap');
% Replace zeros with interpolated values
y(zeroIndices) = yInterpolated;
end
% Update the column in the dataset
data(:, col) = y;
end
% Step 3: Save the modified data back to a file (optional)
writematrix(data, 'modified_dataset.txt');
For more information on using the “interp1” function, please refer to the documentation below:
