A simple y vs log(x) fit seems to work pretty well here: fit <- lm(y ~ log(x)) summary(fit)
plot(y ~ log(x)) abline(fit) On Fri, Dec 4, 2009 at 9:06 AM, Pascale Weber <pascale.we...@wsl.ch> wrote: > Hi to all > > This is the first time I am quoting a question and I hope, my question is > not too basic... > > For the following data, I wish to draw a fitted curve. > > x <- c(123,129,141,144,144,145,149,150,158,159,163,174,183,187,242,248) > > y <- > c(14.42,26.96,31.3,19.95,36.36,15.4,24.76,35.39,28.07,40.97,26.23,42.83,46.53,14.79,49.18,48.08) > > If I plot the data, it looks somehow that a logistic function would render > good results. > > My questions are: > > How do I use > nls and/or SSlogis (or other) > to fit the curve? > > How can I see the summary statistics of the fit? > > How do I finally draw the line to my x,y (untransformed data) plot? > > Any help would be highly appreciated. > > Thank you and cheers > > Pascale > > -- > ____________________________________..___________________ > > Dr. Pascale Weber > Swiss Federal Research Institute WSL > Zuercherstrasse 111 > CH-8903 Birmensdorf > Switzerland > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
