Summarize boots

[jamespeapen]

• the input confidence level q is now being used
• lapply functions extracted so they can be tested
• Assuming that we can use the compartment call made by extractOpenClosed() instead of recomputing. It used to have a hardcoded 0 as a cutoff in summarizeBootstraps() but had an input cutoff argument in extractOpenClosed() with default 0.
• moved .isCompartmentOpen() to getABSignal.R - if we use the earlier open/closed call that's the only file it gets called in
• update agrestiCoullCI() to return a dataframe row so it can work with vector inputs and return a dataframe that can be plugged into the mcols(est.ab)
• vectorize CI computation

Unit: milliseconds
 expr          min        lq         mean       median     uq         max          neval
    lapply CI  188.891453 193.743578 200.713800 196.716700 198.881289 633.046724   100
 vectorized CI   3.807941   3.898602   3.963774   3.926279   3.975098   4.715911   100