I wish to overlay bar graphs from two different samples that use histcounts. The length of the separate counts are not equal nor neccessarily is their bin sizes. I am using the Freedman-Diaconis bin method to ensure the best bin sizing automatically. Ultiamtely I want to best visualize the different data by color and having all the bars of the same width--and importantly in an interlaced (or side by side) fashion. I am not sure if this is possible and cannot get around doing this. I should add, I am centering the bins between the bin edges for the data and adjusted the bars to have the same width. Here's an example:
[v1, e1] = histcounts([2 5 3.4 5.3 5 4 8 7],'BinMethod','fd');
[v2, e2] = histcounts([3.4 5.5 6.4 6.9 7],'BinMethod','fd');
As it turned out the centered bin locations are identical for both data set and this visualization gives the false impression any one bar are is highlighting a breakdown of composing parts. How best to deal with such a case? Can I get the bar function to have the blue and red bars of say at column 5 side by side? In centering between the bin edges, I believe this is the best approach but I am open to any suggestion for best visualizing. Thank you in advance for any help or suggestions.
