search for: asym2

...se growth curves into a series of logistic equations, I attempted to do the same thing in R. SIMULATED DATA Time <- 1:200 pop.size <- SSlogis(Time,10,20,5) + SSlogis(Time,20,100,20) + rnorm(length(Time)) MY ANALYSIS results <- nls(size ~ SSlogis(Time, Asym1, xmid1, scal1) + SSlogis(Time, Asym2, xmid2, scal2), start = list(Asym1=5, xmid1=15, scal1=30, Asym2=25, xmid2=67, scal2=25)) THE RESULT I get the error message: Error in nls(size ~ SSlogis(Time, Asym1, xmid1, scal1) + SSlogis(Time, : step factor 0.000488281 reduced below `minFactor' of 0.000976563 Assistance in doing t...

...series of logistic equations, I attempted to do the same thing in R. #SIMULATED DATA Time <- 1:200 pop.size <- SSlogis(Time,10,20,5) + SSlogis(Time,20,100,20) + rnorm(length(Time)) ts.plot(pop.size) #MY ANALYSIS results <- nls(pop.size ~ SSlogis(Time, Asym1, xmid1, scal1) + SSlogis(Time, Asym2, xmid2, scal2), start = list(Asym1=5, xmid1=15, scal1=30, Asym2=25, xmid2=60, scal2=25)) THE RESULT I get the error message: Error in nls(size ~ SSlogis(Time, Asym1, xmid1, scal1) + SSlogis(Time, : step factor 0.000488281 reduced below `minFactor' of 0.000976563 Any hints in making t...

Dear R-helpers, I have two data frames, op and em4: > str(op) 'data.frame': 37 obs. of 5 variables: $ m : num 0.202 0.336 0.122 0.139 0.14 ... $ lln : num 0.798 0.643 0.863 0.835 0.823 ... $ rrn : num 0.789 0.702 0.894 0.895 0.923 ... $ asym2: num 0.177 0.304 0.108 0.187 0.274 ... $ asym3: num 0.0755 0.0975 0.0818 0.0651 0.13 ... > str(rownames(op)) chr [1:37] "abov-belw" "ampl-rstr" "angl-rndd" "ascn-dscn" ... > str(em3) 'data.frame': 37 obs. of 9 variables: $ B--: int...