On 11/11/20 2:11 PM, Marcelo Laia wrote:
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")
Removing the I(.) calls has no effect.
I think you should reshape that formula to the equivalent form with no
transformation on the LHS:
ggplot( dat , aes(x=DAP, y=Altura, color=as.factor(Espacamento) )) +
geom_point(size=0.5) +
stat_smooth(method = "lm",
formula = y ~ exp(1/x), size = 1) +
facet_grid(Espacamento ~ Clone) +
theme(legend.position="none")
--
David.
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!
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