Nothing
SSlomolino <-
selfStart(~ Asym/(1 + slope^log(xmid/area)),
function(mCall, data, LHS)
{
xy <- sortedXyData(mCall[["area"]], LHS, data)
## approximate with Arrhenius model on log-log
.p <- coef(lm(log(xy[["y"]]) ~ log(xy[["x"]])))
## Asym is value at max(x) but > max(y) and xmid is x which gives
## Asym/2
.Smax <- max(xy[["y"]])*1.1
.S <- exp(.p[1] + log(max(xy[["x"]])) * (.p[2]))
.S <- max(.S, .Smax)
.xmid <- exp((log(.S/2) - .p[1])/.p[2])
## approximate slope for log(Asym/y - 1) ~ log(xmid/x) + 0
.y <- log(.S/xy[["y"]] - 1)
.z <- log(.xmid/xy[["x"]])
.b <- coef(lm(.y ~ .z - 1))
value <- c(.S, .xmid, exp(.b))
names(value) <- mCall[c("Asym","xmid", "slope")]
value
},
c("Asym","xmid","slope"))
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