I am generating a simple body length-weight regression plot where the variables form a logistic relationship on normal axes. To simplify the graph and have the true variables on either axes, I've log transformed the axes and the now linear relationship between the variables is obvious.
I am having an impossible time trying to fit a line to this graph. plot(Average.BL~Wet.weight, log="xy") reg=lm(log(Average.BL)~log(Wet.weight)) reg #used intercepts from output abline(log(2.9978), 0.3289, untf=F) Here is the graph that's generated: <http://r.789695.n4.nabble.com/file/n4725006/BL-Weight.png> Not sure where to go from here, the slope looks right but obviously the intercept is offset and I'm not sure why. -- View this message in context: http://r.789695.n4.nabble.com/Fitting-a-line-to-a-log-log-graph-tp4725006.html Sent from the datatable-help mailing list archive at Nabble.com. _______________________________________________ datatable-help mailing list datatable-help@lists.r-forge.r-project.org https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/datatable-help