[R] Adding a correlation value (like Rsquared) to a 4 parameter logistic fit model.

Kevin_McEnroy rekem at channing.harvard.edu
Tue Jul 12 16:40:11 CEST 2011

In my lab we use a four parameter logistic fit model for our ELISA data
(absorbance values).  We are currently testing the use of different solvents
and need to find a way to add a correlation value (such as an R squared or
something similar) so we can test different solvents in making this standard
curve.  We currently use the drc package and this is our script for the 4

SC<-read.delim(file = "C:/Documents and Settings/rekem/My
Documents/SCBook.txt", header = T, check.names = FALSE, as.is = TRUE)

FourP<-drm(Response~Expected, data = SC, fct = LL.4())

plot(FourP, main = "LTB4 Standard Curve Zi Phase 7", xlab = "Expected
(pg/mL)", ylab = "Response (%Bound)")

Thanks for any help.
Kevin McEnroy

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