Hi, I am running these approaches:
Model 1 ggplot( dat , aes(x=DAP, y=Altura, color=as.factor(Espacamento) )) + geom_point(size=0.5) + stat_smooth(method = "lm", formula = y ~ x + I(x^2), size = 1) + facet_grid(Espacamento ~ Clone) + theme(legend.position="none") Model 2 ggplot( dat , aes(x=DAP, y=Altura, color=as.factor(Espacamento) )) + geom_point(size=0.5) + stat_smooth(method = "lm", formula = I(log(y)) ~ I(1/x), size = 1) + facet_grid(Espacamento ~ Clone) + theme(legend.position="none") In model 1, both, original variables and fitted variables are plotted in the same units. However, in the second one, points is plotted in the original variable, instead of fitted variables. I know that exp(fitted(model2)) do the trick and return the variables to the original units. But, I don't know how I do this in the stat_smooth function. Please, have you a tip for help me? Thank you! -- Marcelo ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.