## Calculation of time above MIC [🇷 for BE/BA]

Dear Helmut,

❝ Actually just start at the beginning of the profile and add all segments which are abobe the MIC up. If the values fall below the MIC and come up again (like in your case) do a linear interpolation. I would use rather R than WinNonlin for that purpose.

Probably I was doing something wrong, maybe sitting too long after the PC, but when I tried this approach, I wasn't even near....

But anyway, with your reply, I started over and finally it works!

Ace
PS: for anyone who may find it interesting:

The R code for finding time below the threshold:
"dat" is a dataframe containing column "conc", and "time"
th = threshold
 f <- function(dat, th = 0.517) {   under <- 0     for (i in which(dat$conc < th)) { if (!is.na(dat$conc[i-1])) {         y <- dat$conc[c(i-1, i)] x <- dat$time[c(i-1, i)]         slope <- coef(lm(y ~ x))         under <- under + x-x-(th-y)/slope       }       if (!is.na(dat$conc[i+1])) { y <- dat$conc[c(i, i+1)]         x <- dat\$time[c(i, i+1)]         slope <- coef(lm(y ~ x))         under <- under + (th-y)/slope       }     }   return(under) }

Edit: Reformatted using BBCodes. [Helmut]  Ing. Helmut Schütz 