t: Sunday, August 11, 2024 6:30 PM
To: sibylle.stoec...@gmx.ch
Cc: R-help@r-project.org
Subject: Re: [R] geom_smooth with sd
Hi!
This is probably completely off base, but your ymin and y max setup lines are
different. One uses sqrt(y), while the second uses sqrt(length(y)).
Could that p
Hi!
This is probably completely off base, but your ymin and y max setup lines
are different. One uses sqrt(y), while the second uses sqrt(length(y)).
Could that play a part, please?
Thank you
Erin Hodgess, PhD
mailto: erinm.hodg...@gmail.com
On Sun, Aug 11, 2024 at 10:10 AM SIBYLLE STÖCKLI
Dear community
Using after_stat() I was able to visualise ggplot with standard deviations
instead of a confidence interval as seen in the R help.
p1<-ggplot(data = MS1, aes(x= Jahr, y= QI_A,color=Bio, linetype=Bio)) +
geom_smooth(aes(fill=Bio,
ymax=after_stat(y+se*sqrt(len
Colleagues,
Your suggestions are elegant and greatly appreciated.
Thomas Subia
On Friday, August 11, 2023 at 11:08:42 PM PDT, Berwin A Turlach
wrote:
G'day Thomas,
On Sat, 12 Aug 2023 04:17:42 + (UTC)
Thomas Subia via R-help wrote:
> Here is my reproducible code for a graph u
+ geom_ribbon(stat = "smooth",
se = TRUE,
alpha = 0, # or, use fill = NA
colour = "black",
linetype = "dotted")
Does that work?
On Sat, 12 Aug 2023, 06:12 Rui Barradas, wrote:
> Às 05:17 de 12/08/2023, Thomas Subia via R-help escreveu:
>
G'day Thomas,
On Sat, 12 Aug 2023 04:17:42 + (UTC)
Thomas Subia via R-help wrote:
> Here is my reproducible code for a graph using geom_smooth
The call "library(tidyverse)" was missing. :)
> I'd like to add a black boundary around the shaded area. I suspect
> this can be done with geom_rib
Às 05:17 de 12/08/2023, Thomas Subia via R-help escreveu:
Colleagues,
Here is my reproducible code for a graph using geom_smooth
set.seed(55)
scatter_data <- tibble(x_var = runif(100, min = 0, max = 25)
,y_var = log2(x_var) + rnorm(100))
library(ggplot2)
library(cowplot)
Colleagues,
Here is my reproducible code for a graph using geom_smooth
set.seed(55)
scatter_data <- tibble(x_var = runif(100, min = 0, max = 25)
,y_var = log2(x_var) + rnorm(100))
library(ggplot2)
library(cowplot)
ggplot(scatter_data,aes(x=x_var,y=y_var))+
geom_point()+
> On Jul 20, 2016, at 10:01 AM, Tom Subia wrote:
>
> Default level = 0.95.
> Does this mean +/- 0.025 from estimate?
>
> [[alternative HTML version deleted]]
I would have guessed that it meant something along the lines of localized (or
one might say "loess-ized") mean +/- 2* similarly
No, it refers to confidence level. Refer to your training in statistics for
that definition.
--
Sent from my phone. Please excuse my brevity.
On July 20, 2016 10:01:44 AM PDT, Tom Subia wrote:
>Default level = 0.95.
>Does this mean +/- 0.025 from estimate?
>
> [[alternative HTML version d
No, it means precisely the opposite.
Google "confidence interval", please.
Rui Barradas
Citando Tom Subia :
> Default level = 0.95.
> Does this mean +/- 0.025 from estimate?
>
> [[alternative HTML version deleted]]
>
> __
> R-help@r-project.o
.
John Kane
Kingston ON Canada
> -Original Message-
> From: tgs...@gmail.com
> Sent: Wed, 20 Jul 2016 10:01:44 -0700
> To: r-help@r-project.org
> Subject: [R] Geom_smooth
>
> Default level = 0.95.
> Does this mean +/- 0.025 from estimate?
>
> [[al
Default level = 0.95.
Does this mean +/- 0.025 from estimate?
[[alternative HTML version deleted]]
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