Hello, 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 parameter:
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 -- View this message in context: http://r.789695.n4.nabble.com/Adding-a-correlation-value-like-Rsquared-to-a-4-parameter-logistic-fit-model-tp3662480p3662480.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
