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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
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