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I'm working with some data where titers are calculated by estimating ID50 by some curve fitting method, which gives continuous valued titers. In this case, a "<20" titer is not the same as "<=10", like it is for the 2-fold dilution data we normally work with. In this case, it would be good for ablandscapes to treat it as "<=20", rather than converting it to "<=10" (which I believe happens in the titers_to_logtiters function). I can get around this by converting "<20" to "<40" before I pass the titers to ablandscapes, but it would be not to have to do this. A nice way to do this might be to use a dilution.stepsize argument like in your meantiter package?
(When I've got a bit of time I might come back and implement this if you think it would be a useful addition)
The text was updated successfully, but these errors were encountered:
Hi Sam!
I'm working with some data where titers are calculated by estimating ID50 by some curve fitting method, which gives continuous valued titers. In this case, a "<20" titer is not the same as "<=10", like it is for the 2-fold dilution data we normally work with. In this case, it would be good for ablandscapes to treat it as "<=20", rather than converting it to "<=10" (which I believe happens in the
titers_to_logtiters
function). I can get around this by converting "<20" to "<40" before I pass the titers to ablandscapes, but it would be not to have to do this. A nice way to do this might be to use adilution.stepsize
argument like in yourmeantiter
package?(When I've got a bit of time I might come back and implement this if you think it would be a useful addition)
The text was updated successfully, but these errors were encountered: