Hello, I do have a question regarding resampling of data (matrices). Imagine having 2 data sets, organized in a matrix with two columns, the first column being, eg, traveled distance, the second column being some dependent variable. I now have 2 data sets from two subjects covering the same distance but differing in the number of samples: say subj1 was faster, producing 1000 samples along his/her way, while subj2 was slower producing 1100 samples. Now I would like these two matrices to be of the same length (same number of rows). Obviously, it would be most easy to down-sample the larger data set, either (1) by dropping every 10th sample, or by (2) completely recalculating and interpolating the data. As i have lots of data, i would like to benefit from existing functions to do either 1 or 2, best both variants. Does anyone know of such functions? Thanks in advance, jan
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