[R] 2x2 Contingency table with much sampling zeroes

? Can I use any statistical method to test my hypothesis ? Any advice ? Thanks, Etienne Toffin --- Etienne Toffin, PhD Student Unit of Social Ecology Université Libre de Bruxelles, CP 231 Boulevard du Triomphe B-1050 Brussels

[R] Non linear fitting of 2 distributions with shared parameters

). This point is where I need some help : is there any function to make non-linear fitting of (at least) 2 data sets with shared parameters ? Hope someone will have some good news for me… Etienne Toffin [[alternative HTML version deleted]] __ R-help@r

Re: [R] How to compare parameters of non linear fitting curves

? Thanks, Etienne One short question about nls: are there any reason why nlm should be used rather than nls and vice-versa (nls results are quite more full than those of nlm)? Hope this helps, Spencer Etienne Toffin wrote: Hi, I'm using a non linear model to fit experimental survival

[R] Rép : How to compare parameters of non li near fitting curves - COMPLETE REPLY -

those of nlm)? Hope this helps, Spencer Etienne Toffin wrote: Hi, I'm using a non linear model to fit experimental survival curves. This model describes the fraction of still active experiments as a function of time t as follows: f(t)=(1+exp(-etaD*cD)) / (1+exp(etaD(t-cD

[R] How to compare parameters of non linear fitting curves

statistical method to compare the estimated values of parameters of the two distributions ? And wether it's the case, how to perform it in R ? Hope I'm clear enough for getting help, Etienne --- Etienne Toffin, PhD Student Unit

[R] How to compare two regression line slopes

but more about statistics… I don't think I'm really clear and I know I'm not rigorous at all in my descriptions, but I hope someone will understand me. Thanks, Etienne --- Etienne Toffin, PhD Student Unit of Social Ecology

[R] Post-hoc test for Kruskal-Wallis

Hi there, I've got a small question : is there any post-hoc test for Kruskal rank sum test integrated in R ? I know that the Nemenyi test is one of the post-hoc that can be used, but there's no (to by knowledge) R function for it. What should I do ? Thanks, Etienne

[R] R-squared value for linear regression passing through origin using lm()

the linear regression with lm(y ~ x). It seems to be surprising to me: is this result normal ? Is there any problem in the R-squared value calculated in this case ? Etienne Toffin __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo