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| You can do this: dataset1 = MapThread[{{#1, #2}, ErrorBar[#3, #4]} &, {x, y, xerror, yerror}] ErrorListPlot[dataset1] Regards, Neil |
| assuming your .nb file is in the same directory: files = FileNames[NotebookDirectory[] "*.csv"] This gives the files to import. If you plan on plotting one vs another, you can get them in one list: raw = Map[Import, files] and... |
| Does anyone think we can use PersistentValue or PersistentObject for this? |
| Wow. A big thanks to both of you, this is more helpful that I expected. You saved my weekend guys! :) |
| Jim did a very elegant matrix reformulation of your problem. To help you understand what he did you could have fixed your formula as follows: Eldp[k_, l_, d_, kd_, ld_, dd_] := Sqrt[kd (Derivative[1, 0, 0][El][k, l, d])^2 + ld... |
| Hey, thanks for your answers, I read the articles and was able to solve a half of the actual problem, which is the following: I have the function El[k_ , l_, d_] := k * l / (0.25*d^2*Pi) and computed the gaussian variance formula ... |