Re: Warning Message !!!! stat_smooth( method= "lm" or "gam" )
Ista Zahn
On Jan 29, 2013 6:43 PM, "nserdar" <snes...@gmail.com> wrote:
>
> Lenght of Data Set= 522
>
> # Works Properly
>
> ggplot(tdata,aes(x=X2,y=X1))+geom_point()+stat_smooth(method=lm)
>
>
> # warning message
> ggplot(tdata,aes(x=X2,y=X1))+geom_point()+stat_smooth(method=lm,formula=X1~X2,se=F)
This should be formula = y~x
>
> Error in data.frame(x = xseq, y = as.vector(pred)) :
> arguments imply differing number of rows: 80, 522
> In addition: Warning message:
> 'newdata' had 80 rows but variable(s) found have 522 rows
>
> # How to stat_smooth for X1~ X2+X2^2+X2^3 ??? I use "ns" in formula part, than give same warnings message like above !!
I don't think you can
>
> ##################################################
>
> gam () function smooth
>
> #Warning message
>
> Error in data.frame(x = xseq, y = model$family$linkinv(as.vector(pred$fit)), :
> arguments imply differing number of rows: 80, 522
> In addition: Warning messages:
> 1: In predict.gam(model, newdata = data.frame(x = xseq), se = se, type = "link") :
> not all required variables have been supplied in newdata!
>
> 2: 'newdata' had 80 rows but variable(s) found have 522 rows
>
> ##################################################
>
> Please let me know how to solve these warnings
>
> Regards,
> Serdar
>
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Dennis Murphy
Ista's remarks are dead on in terms of the formula notation, but as
long as the fitting function is in terms of one variable, one should
be able to plot it in geom_smooth(). If it is a function of more than
one explanatory variable, it cannot be plotted in ggplot2 as it
becomes a function of more than two variables (which I think is what
Ista was getting at).
Since the OP evidently wants to fit several such models to his data,
the geom can be called several times with a different model formula
for each call. Here's a small toy example:
DF <- data.frame(x = seq(10), y = 2 + 0.5 * seq(10) + rnorm(10, sd = 0.6))
# library(ggplot2)
ggplot(DF, aes(x = x, y = y)) +
geom_smooth(aes(color = "linear"), method = "lm", size = 1, se = FALSE) +
geom_smooth(aes(color = "quadratic"), method = "lm",
formula = y ~ poly(x, 2), size = 1, se = FALSE) +
geom_smooth(aes(color = "cubic"), method = "lm", formula = y ~ poly(x, 3),
size = 1, se = FALSE) +
scale_color_manual("model", values = c("blue", "brown", "orange"))
Dennis
Serdar Neslihanoglu
has anyone used the chain ladder package