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 via R-help <
r-help@r-project.org> wrote:
> 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(length(y))), ymin=after_stat(y-se*sqrt(y))) ,
> method = "lm" , formula = y ~ x + I(x^2),linewidth=1) +
>
> theme(panel.background = element_blank())+
>
> theme(axis.line = element_line(colour = "black"))+
>
> theme(axis.text=element_text(size=18))+
>
> theme(axis.title=element_text(size=20))+
>
> ylab("Anteil BFF an LN [%]") +xlab("Jahr")+
>
> scale_color_manual(values=c("red","darkgreen"), labels=c("ÖLN", "BIO"))+
>
> scale_fill_manual(values=c("red","darkgreen"), labels= c("ÖLN", "BIO"))+
>
> theme(legend.title = element_blank())+
>
> theme(legend.text=element_text(size=20))+
>
> scale_linetype_manual(values=c("dashed", "solid"), labels=c("ÖLN",
> "BIO"))
>
> p1<-p1 + expand_limits(y=c(0, 30))
>
>
>
> When comparing the plots to the simple statistics the standard deviation do
> not match. I assume it is because of the na.rm=TRUE which does not match
> length(y) in the after_stat code. However I was not able to adapt the code
> using NA values?
>
>
>
> Simple statistics
>
> > mean(MS2020[MS2020$Bio=="1",]$QI_A, na.rm=TRUE)
>
> [1] 26.81225
>
> > sd(MS2020[MS2020$Bio=="1",]$QI_A, na.rm=TRUE)
>
> [1] 21.12419
>
> > mean(MS2020[MS2020$Bio=="0",]$QI_A, na.rm=TRUE)
>
> [1] 15.86196
>
> > sd(MS2020[MS2020$Bio=="0",]$QI_A, na.rm=TRUE)
>
> [1] 15.00405
>
>
>
> Kind regards
>
> Sibylle
>
>
> [[alternative HTML version deleted]]
>
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>
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