I'm looking for a good way to go about normalizing sets of human movement data.Luckily I've done enough analysis to create vectors out of each trial for my datasets, but I'm looking for a way I can normalize them for comparison.
Each vector looks similar to a large bell curve when plotted, but has a different duration and start and stop time.
What I would like to do is take 5 sets of this data, and normalize them into one dataset, then plot the deviation between each set as an error bar overlaying the normalized curve.
Does anyone have a good way about going through this? - Creating equal time lengths between the 5 sets isn't an option - so I feel like the norm function might not work.