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Following an example on p 111 in 'Nonlinear Regression with R' by Ritz & Streibig, I have been fitting nls models using square brackets with the grouping variable inside. In their book is this example, in which 'state' is a factor indicating whether a treatment has been used or not: > Puromycin.m1 <- nls(rate ~ Vm[state] * + conc/(K[state] + conc), data = Purom...

...tp://www.jstatsoft.org Firth Bradley-Terry Models in R Volume 12, Issue 01 Sturtz, Ligges, and Gelman R2WinBUGS: A Package for Running WinBUGS from R Volume 12, Issue 03 Mineo and Ruggieri A Software Tool for the Exponential Power Distribution: The normalp Package Volume 12, Issue 04 Ritz and Streibig Bioassay Analysis Using R Volume 12, Issue 05 Baddeley and Turner spatstat: An R Package for Analyzing Spatial Point Patterns Volume 12, Issue 06 Johnstone and Silverman EbayesThresh: R Programs for Empirical Bayes Thresholding Volume 12, Issue 08 Nason pinktoe: Semi-automatic Traversal of Trees...

...tp://www.jstatsoft.org Firth Bradley-Terry Models in R Volume 12, Issue 01 Sturtz, Ligges, and Gelman R2WinBUGS: A Package for Running WinBUGS from R Volume 12, Issue 03 Mineo and Ruggieri A Software Tool for the Exponential Power Distribution: The normalp Package Volume 12, Issue 04 Ritz and Streibig Bioassay Analysis Using R Volume 12, Issue 05 Baddeley and Turner spatstat: An R Package for Analyzing Spatial Point Patterns Volume 12, Issue 06 Johnstone and Silverman EbayesThresh: R Programs for Empirical Bayes Thresholding Volume 12, Issue 08 Nason pinktoe: Semi-automatic Traversal of Trees...

Hello, I'm trying to do some non-linear regression with 2 cell types and 4 tissue type treatments using selfStart models Following Ritz and Streibig (2009), I wrote the following routines: ##Selfstart expDecayAndConstantInflowModel <- function(Tb0, time, aL, aN, T0){ exp(-time*aL)*(T0*aL+(-1+exp(time * aL))*Tb0 * aN)/aL } expDecayAndConstantInflowModelInit <- function(mCall, LHS, data){ print(paste("SelfStart mCall:", mC...