hadley wickham wrote:
>> > rsqs <- as.data.frame(stamp(mtcars, cyl ~ ., function(df)
>> > summary(lm(mpg ~ wt, data=df))$r.squared))
>> > rsqs$wt <- 4
>> > rsqs$mpg <- 32
>> > ggtext(p, data=rsqs, aes=list(label=value))
>> >
>> > But that doesn't work for some reason I don't understand yet (but I'm
> > rsqs <- as.data.frame(stamp(mtcars, cyl ~ ., function(df)
> > summary(lm(mpg ~ wt, data=df))$r.squared))
> > rsqs$wt <- 4
> > rsqs$mpg <- 32
> > ggtext(p, data=rsqs, aes=list(label=value))
> >
> > But that doesn't work for some reason I don't understand yet (but I'm
> > working on it)
Ooops -
hadley wickham wrote:
>> > Do you mean doing a seperate linear regression for each group in your
>> > data? If so, have a look at ?gggroup for some examples of exactly
>> > that.
>>
>> No.
>>
>> I do the following:
>>
>> > p <- ggplot(cc, . ~ expert, aesthetic=list(y=x0050, x=generation))
>> > g
> > Do you mean doing a seperate linear regression for each group in your
> > data? If so, have a look at ?gggroup for some examples of exactly
> > that.
>
> No.
>
> I do the following:
>
> > p <- ggplot(cc, . ~ expert, aesthetic=list(y=x0050, x=generation))
> > ggjitter(p)
> > ggsmooth(method=
hadley wickham wrote:
>> When using
>> ggsmooth(method=lm)
>> is there a way to show the results of the separate linear regressions?
>
> Do you mean doing a seperate linear regression for each group in your
> data? If so, have a look at ?gggroup for some examples of exactly
> that.
No.
I do the
> When using
> ggsmooth(method=lm)
> is there a way to show the results of the separate linear regressions?
Do you mean doing a seperate linear regression for each group in your
data? If so, have a look at ?gggroup for some examples of exactly
that.
Hadley
__
Hi
I am using ggplot under R 2.4 / Linux.
When using
ggsmooth(method=lm)
is there a way to show the results of the separate linear regressions?
Thanks
Rainer
--
Rainer M. Krug, Dipl. Phys. (Germany), MSc Conservation
Biology (UCT)
Department of Conservation Ecology and Entomology
Universit
