Hi Rafael,
Here is a suggestion:
# Data
pos <- c(27/44, 11/32, 8/40, 4/42, 3/40, 4/40, 2/40)
tmin <- c(15.8, 12.6, 10.5, 2.4, 5.2, 8.5, 7.9)
d <- data.frame(pos, tmin)
# Non-linear model
fit <- nls(pos ~ a*tmin^b,
data = d,
start = list(a = .1, b = .1),
trace = TRUE)
summary(fit)
# Plot
res <- data.frame(tmin, pred = predict(fit))
plot(tmin, pos, ylim = c(0,.7))
points(res[order(tmin),], type='l', col=2)
See ?nls for more details and information. Also, take a look at ?glm and its
examples for poisson and logistic regression.
Best regards,
Jorge
On Mon, Oct 26, 2009 at 1:44 PM, Rafael Moral <> wrote:
> Dear useRs,
>
> I have the following plot:
>
>
> pos <- c(27/44, 11/32, 8/40, 4/42, 3/40, 4/40, 2/40)
> tmin <- c(15.8, 12.6, 10.5, 2.4, 5.2, 8.5, 7.9)
> plot(tmin, pos)
>
>
> I would like to fit an exponential curve to it.
> How could I be able to do this?
>
> Thanks in advance,
>
> Rafael.
>
>
>
>
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