Hi everybody,
I'm interested in evaluating the effect of a continuous variable on the mean
and/or the variance of my response variable. I have built functions
expliciting these and used the 'mle2' function to estimate the coefficients,
as follows:
func.1 <- function(m=62.9, c0=8.84, c1=-1.6)
Hello,
I’d like to evaluate the temporal effect on the relationship between a
continuous variable (e.g. size) and the probability of mate success.
Initially I was trying to do a logistic regression model incorporating the
temporal effect, but I don’t know if that is the best option. I simulated
s
Hi Alexis!
I had the same problem you faced and the solution I found was modifying the
layout function.
That’s an example:
f1 <- function (a, x) {2.15*a -0.25*x}
f2 <- function (a,x) {exp(2.36*a - 0.04*x)}
a1 <- seq(from=5.2, to=6.2, by=(6.2-5.2)/19)
b1 <- seq(0,32)
zeros <- rep(0, length(a)*len
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