Hi Dimitri,
I am not sure I completely understand the issue but here is what I think you
want (using my variable names :) )
library(ggplot2)
dat1 <- data.frame(aa = sample(1:20, 100, replace = TRUE), bb = 1:100 )
p <- ggplot(dat1, aes(aa, bb)) + geom_point()
p <- p + geom_smooth(se = FALSE)
p
John Kane
Kingston ON Canada
> -----Original Message-----
> From: dimitri.liakhovit...@gmail.com
> Sent: Thu, 20 Nov 2014 17:14:27 -0500
> To: r-help@r-project.org
> Subject: [R] ggplot question error: Error in s(x, bs = "cs") : object 'x'
> not found
>
> Dear R-ers,
>
> apologies for not providing the full code. I just need a point in the
> right direction.
> I have a data frame ('temp') with 1,200 rows and 2 variables.
> I am using ggplot2 to create a scatter plot:
>
> This is my code and it works fine, it creates a scatter plot:
>
> library(ggplot2)
> sp10<-ggplot(temp,aes(x=p.used_L1,y=l.to.r.ratio_L1))
> sp10 + geom_point()
>
> However, when I change the last line to:
> sp10 + geom_point() + stat_smooth(se=FALSE)
>
> Then I am getting these messages (and no fitted line on the graph):
>
> geom_smooth: method="auto" and size of largest group is >=1000, so
> using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to
> change the smoothing method.
> Error in s(x, bs = "cs") : object 'x' not found
>
> I don't understand what x in in s(x, bs = "cs") is or should be.
> I lookeed up ?geom_smooth and tried this:
>
> sp10 + geom_point() + stat_smooth(se=FALSE,formula = l.to.r.ratio_L1 ~
> p.used_L1)
>
> Still, the same error message.
>
> Thanks a lot for your advice!
>
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