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(Espacame
Hi Rui,
You are very welcome!
On 11/11/20 at 11:10, Rui Barradas wrote:
>
> dput(head(dat, 20))
>
structure(list(Bloco = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), Espacamento = c("3 x 1",
"3 x 1", "3 x 1", "3 x 1", "3 x 1", "3 x 1", "3 x 1", "3 x 1",
Hello,
Try removing I() from I(log(y)). But it's hard to say without a
reproducible example, please post the output of
dput(dat)
or, if dat is big, the output of
dput(head(dat, 20))
Hope this helps,
Rui Barradas
Às 22:11 de 11/11/20, Marcelo Laia escreveu:
Hi,
I am running these approa
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")
help@r-project.org"
Subject: Re: [R] ggplot2 stat_smooth
>
>> On Jun 29, 2016, at 2:17 PM, Nathan Pace wrote:
>>
>> I want to add a logistic plot to data.
>>
>> My call to ggplot is:
>>
>>
>> ggplot(data = SSI.dt, aes(x = elapsed,
> On Jun 29, 2016, at 2:17 PM, Nathan Pace wrote:
>
> I want to add a logistic plot to data.
>
> My call to ggplot is:
>
>
> ggplot(data = SSI.dt, aes(x = elapsed, y = 1 - control)) + geom_point() +
> stat_smooth(method = 'glm', family = binomial) +
> xlab('Surgery Duration (min)') + ylab('Pr
I want to add a logistic plot to data.
My call to ggplot is:
ggplot(data = SSI.dt, aes(x = elapsed, y = 1 - control)) + geom_point() +
stat_smooth(method = 'glm', family = binomial) +
xlab('Surgery Duration (min)') + ylab('Probability SSI') +
labs(title = 'THA Surgical Site Infections')
ggsave(f
,
Thierry
Van: Michael Friendly [frien...@yorku.ca]
Verzonden: dinsdag 17 december 2013 19:42
Aan: ONKELINX, Thierry; R-help
Onderwerp: Re: [R] ggplot2: stat_smooth for family=binomial with cbind(Y,
N) formula
Thanks very much for this helpful reply, Thierry
Using aes(wei
rry
-Oorspronkelijk bericht-
Van: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] Namens
Michael Friendly
Verzonden: dinsdag 17 december 2013 14:58
Aan: R-help
Onderwerp: [R] ggplot2: stat_smooth for family=binomial with cbind(Y, N) formula
With ggplot2, I can plot the g
,
Thierry
-Oorspronkelijk bericht-
Van: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] Namens
Michael Friendly
Verzonden: dinsdag 17 december 2013 14:58
Aan: R-help
Onderwerp: [R] ggplot2: stat_smooth for family=binomial with cbind(Y, N) formula
With ggplot2, I can plot the
With ggplot2, I can plot the glm stat_smooth for binomial data when the
response is binary or
a two-level factor as follows:
data("Donner", package="vcdExtra")
ggplot(Donner, aes(age, survived)) +
geom_point(position = position_jitter(height = 0.02, width = 0)) +
stat_smooth(method = "glm", fami
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