search for: fourp

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2011 Feb 01
4
Fitting ELISA measurements "unknowns" to 4 parameter logistic model
Hello, I am trying to fit my Elisa results (absorbance readings) to a standard curve. To create the standard curve model, I performed a 4-parameter logistic fit using the 'drc' package (ExpectedConc~Absorbance). This gave me the following: > FourP A 'drc' model. Call: drm(formula = Response ~ Expected, data = SC, fct = LL.4()) Coefficients: b:(Intercept) c:(Intercept) d:(Intercept) e:(Intercept) 1.336 6.236 85.521 59.598 > summary(FourP) Model fitted: Log-logistic (ED50 as parameter) (4 par...
2011 Jul 12
0
Adding a correlation value (like Rsquared) to a 4 parameter logistic fit model.
...ing 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-...