On Wednesday 05 December 2007, Simone Gabbriellini wrote: > hello, > > I have this simple question. This is my dataset > > size > 1 57 > 2 97 > 3 105 > 4 123 > 5 136 > 6 153 > 7 173 > 8 180 > 9 193 > 10 202 > 11 213 > 12 219 > 13 224 > 14 224 > 15 248 > 16 367 > 17 496 > 18 568 > 19 618 > 20 670 > 21 719 > 22 774 > 23 810 > 24 814 > 25 823 > > I plot it with: > > plot(generalstats[,1], type="b", xlab="Mesi", ylab="Numero di > vertici", main=""); > > and try to interpolate with a linear regression with > > abline(lm(generalstats[, > 1 > ]~ > c(1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25)), > lty=3, col="red"); > > how to interpolate the data with a logistic curve? I cannot find the - > I suppose easy - solution.. > > thank you, > Simone >
try: glm(formula, data, family=binomial()) require(Design) lrm() Cheers, -- Dylan Beaudette Soil Resource Laboratory http://casoilresource.lawr.ucdavis.edu/ University of California at Davis 530.754.7341 ______________________________________________ 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.
