In theory the analysis should be just fine when the experiment has included a front-end delay, i.e. DA>0. But I have not tested this throughly.
As it stands, the plotting of raw data on the discount function plots is only meaningful when DA>0. So I'll need to either not plot data for trials where DA>0, or not plot any of the data if the dataset includes DA>0. It's just not entirely clear how one can plot such data on a single graph, I've not seen it done in the literature
[x] add tests to make sure inference process works (i.e. no errors) with front-end delays
[x] don't plot data points on discount function when DA>0 as it's not a valid things to do... you'd need two points (for option A and B) connected with a line. This is something to think about for the future, but initial tests made the graph look very cluttered.
In theory the analysis should be just fine when the experiment has included a front-end delay, i.e.
DA>0. But I have not tested this throughly.As it stands, the plotting of raw data on the discount function plots is only meaningful when
DA>0. So I'll need to either not plot data for trials whereDA>0, or not plot any of the data if the dataset includesDA>0. It's just not entirely clear how one can plot such data on a single graph, I've not seen it done in the literatureDA>0as it's not a valid things to do... you'd need two points (for option A and B) connected with a line. This is something to think about for the future, but initial tests made the graph look very cluttered.