expt.binfun creates some trouble

[ehennestad]

Hi,

I am trying use this package on my data but for one trial I get an error due to the exp.binfun function.

It calculates the number of bins by dividing duration of trial with experiment binsize, and gives the right result compared to the number of samples in my behavior vector, for example, my vector is 251 elements, and duration/binSize = 251.00000... However, due to the ceil function it gets rounded up to 252 (The diff from 251 is 2.8422e-14).

I run into the same problem in line 14 of compileSparseDesignMatrix.

Is there any reason for using ceil instead of round?

Best regards, Eivind Hennestad

[memming]

It depends on how you define bin edges. The default binfun currently uses ceil to make sure the first bin starts at 0 and ends at the end of the binwidth. You can use a custom binfun if you'd like. All code should be calling exp.binfun, so you can replace the function handle.