Hi Philipp, Does the simple code here below meet the requirements?
I = [0,0,0,1; 10, 0, 3, 1;15, 30, 0, 1;18, 0, 45, 0;36, 57, 28, 0]; ix1=I(1,1); ix2=I($,1); ix=ix1:ix2; M=zeros(length(ix),4); M(1:$,1) = ix'; M(I(:,1)+1,:)=I; PS: It should be easy to adapt it for a general time series consisting of floats and constant time-sampling. Regards, Rafael From: users [mailto:users-boun...@lists.scilab.org] On Behalf Of Philipp Mühlmann Sent: Wednesday, October 12, 2016 2:16 PM To: International users mailing list for Scilab. <users@lists.scilab.org> Subject: [Scilab-users] inserting data into a bigger matrix Dear Scialb users, how to insert time based data into a pre-defined Matrix without using a for-loop? The data points are not equally spaced in time. example: // assuming DATA includes 5 data Points // each dat Point consists of 4 variable // first variable = time //datafile could look like Time, Var1, Var2, Var3 0, 0, 0, 1 10, 0, 3, 1 15, 30, 0, 1 18, 0, 45, 0 36, 57, 28, 0 Assume that a timestep of 1 second is wanted. desired result should look like this: M = 0 0 0 1 1 0 0 0 2 0 0 0 3 0 0 0. ... 10 0 3 1 ... 15 30 0 1 ... 18 0 45 0 ... 36 57 28 0 so "M" is bigger than the original dataset. Again, I think I could do this using for-loops. This could be OK for small dataset, but maybe become slow for huge data sets (> 100'000 data points). Thanks, Philipp Thanks, Philipp -- In Kanada is' ka' na' da. Sonst wär' Kanada Jemanda. There we have the salad.
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