Murray,
I understand that part now, thank you! I have a one more question. When I did my collecting, I had two sessions. However, I wanted to try running SECR as if I had collected all of my samples in a single "occasion" (for a comparison). When I try running the same code with all of my samples under the same occasion, it gives me an error:
Warning messages:
1: In autoini(capthist, mask, binomN = details$binomN, ignoreusage = details$ignoreusage) :
could not calculate 'dbar'; using detector spacing
2: In secr.fit(myCH1, model = g0 ~ 1, mask6, buffer = 1) :
'secr.fit' failed because initial values not found (data sparse?); specify transformed values in 'start'