MATLAB: How to write the matrix with blank element

matrix with element blank

    for i=1:10

if i~=6 T(i)=2*i

else T(i)= %(i want to leave it blank) end end

Is this possible in Matlab? If yes, How to do this?

Best Answer

Just set those elements to nan:

T(i) = nan;

otherwise you'd be looking at a cell array and that's a lot more complicated to use and you probably don't want the hassles of dealing with those. Nan means "Not a number" and is basically the concept of "not defined' that you're trying to achieve. They just call it nan instead of ND.

Related Solutions

MATLAB: Correlation between two row matrices

Like that, each value of "a" is correlated to each value of "b", but applying the formula of the correlation, the correlation of two single numbers is NaN. To compute the correlation correctly, traspose the input vectors

result  = corr(a', b');

MATLAB: Fill NAN values in a table

Try this well commented example I created for you:

% Create data because the user forgot to post any!
% Make random values for Date, temp, humidity, pressure, precip, depth 
numRows = 50;
temperature = randi(100, [numRows, 1]);
humidity = randi(100, [numRows, 1]);
pressure = randi(100, [numRows, 1]);
precip = randi(100, [numRows, 1]);
depth = randi(100, [numRows, 1]);
% Make some of the temperature elements nan
temperature(10:20) = nan;
indexes = randperm(length(temperature), 8); % 8 other random locations.
temperature(indexes) = nan;
% Create a table, T, as a container for the workspace variables. 
T = table(temperature, humidity, pressure, precip, depth)
%------------------------------------------------------------------------
% % Now we have our table and we can begin.
% Now fix the nans.  First extract the temperature column.
temperature = T.temperature
% Find nan locations (rows)
nanRows = isnan(temperature)
% Sometimes, either the first or last element(s) are nan, and the interpolation will leave a nan there.
% So to prevent that we have to find the first non-nan element and tack it onto the beginning,
% and find the last non-nan element and tack it on to the end.
indexes = find(~nanRows)
repairedTemperature = [temperature(indexes(1)); temperature; temperature(indexes(end))]; % Make sure to use semicolon rather than comma.
% Find nan locations (rows) again with the "fixed" array.
nanRows = isnan(repairedTemperature)
% Interpolate non-nan locations
repairedTemperature = interp1(find(~nanRows), repairedTemperature(~nanRows), 1:length(repairedTemperature))
% Now truncate off the first and last elements we tacked on.  Also need to transpose since interp1() gives a row vector.
repairedTemperature = repairedTemperature(2:end-1)';
% Stick the results back into the table.
T.temperature = repairedTemperature;
fprintf('All done with demo by Image Analyst.\n');

Best Answer

Related Solutions

MATLAB: Correlation between two row matrices

MATLAB: Fill NAN values in a table

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