OK, assuming a trend in estimated spp richness vs log(effort) you could do this...
plot(effort, richness) rich.lm <- lm( richness ~ log(effort) ) smooth.effort <- seq(1, 10, 0.1) # or whatever is appropriate lines( smooth.effort, predict(rich.lm, newdata=list(effort=smooth.effort)), col="red" ) Is that the sort of thing that you're after ? Michael On 23 September 2010 17:07, Kyran Staunton <staunto...@gmail.com> wrote: > Sorry Michael, > > Yes it surely is, Chao1 species richness increase per sampling effort > run through fossil. > > cheers, > > Kyran > > On 23 September 2010 16:58, Michael Bedward <michael.bedw...@gmail.com> wrote: >> Hello Kyran, >> >> Some more details of your data would be helpful. For example, is it >> cumulative species count over time ? >> >> Michael >> >> On 23 September 2010 15:05, Kyran Staunton <staunto...@gmail.com> wrote: >>> Hi, >>> >>> I am trying to fit a logarithmic trendline to a scatterplot of a >>> species accumulation curve. I've tried abline, lines, curve and >>> scatter.smooth but none of these work. >>> >>> Can anyone help please, >>> >>> Kyran >>> >>> ______________________________________________ >>> 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. >>> >> > ______________________________________________ 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.
