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

[Kevin_McEnroy]

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.