Hi
Your code is not reproducible
> melted_SWT <- melt(DF_filled_SWT,id.vars="X37")
Error in melt(DF_filled_SWT, id.vars = "X37") :
object 'DF_filled_SWT' not found
and your explanation is rather cryptic. Try to elaborate minimal reproducible
code with data available preferably by dput. Maybe during this process you find
the solution as I often do.
And please do not post in HTML, it usually scrambles mail content.
Cheers
Petr
> -----Original Message-----
> From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of
> maettuw at students.unibe.ch
> Sent: Wednesday, August 17, 2016 4:46 PM
> To: r-help at r-project.org
> Subject: [R] GGplot2 stat_summary
>
> Hello guys
>
> I have a melted dataset that has 36 different time series included. With
> stat.summary() I added the mean. The problem is that these 36 time series
> do not have the same length. Therefore I would like to plot the mean only
> for the length that the shortest of these 36 time series has. Example.
First
> time series; 28 years long; 2. time series 21 years long and so so. So the
mean
> in this example should not be longer than these 21 years. I searched the
> internet but no return so far. Below is the code:
>
> melted_SWT <- melt(DF_filled_SWT,id.vars="X37")
>
> mean_SW <- melt(apply(DF_filled_SWT,1,mean))
>
> stat_summary(aes(shape="mean",group=1),fun.y =
"mean",size = 1, geom > "line", show.legend = T)+
>
> XIntercept <- data.frame( Intercept=c(1)) YIntercept <- data.frame(
> Intercept=c(0))
>
> ggplot(data=melted_SWT,aes(x=X37,y=value,colour=variable)) +
> geom_line() +
> ggtitle(" GMST during Hiatuses")+ylab("( K)") +
xlab("timelag")+
> theme(panel.background = element_rect(fill = 'grey87')) +
> stat_summary(aes(shape="mean",group=1),fun.y =
"mean",size = 1, geom > "line", show.legend = T)+
> theme(axis.title.x = element_text( size=24, face="bold")) +
theme(title > element_text( size=24, face="bold"))+
> theme(axis.text.x= element_text( size=24, face="bold") ) +
> theme(axis.text.y= element_text( size=24, face="bold") ) +
> geom_vline(aes(xintercept=XIntercept),data=Intercept) +
> geom_hline(aes(yintercept=YIntercept),data=Intercept)+
> theme(legend.text = element_text( size=24, face="bold")) +
> theme(legend.margin = unit(0.7, "line"))
+scale_x_continuous(breaks = c(-
> 10,1,10,20), labels = c(-10,1,10,20))+
> theme(legend.key.height=unit(2.6,"line")) +
theme(legend.key.size > unit(2.3, "cm"))
>
>
>
> data : X37 variable value
> 1 -10 X1 -0.1940203
> 2 -9 X1 -0.1578422
> 3 -8 X1 -0.1658450
> 4 -7 X1 -0.1873830
> 5 -6 X1 -0.1471910
> 6 -5 X1 -0.1160171
>
>
> Thank for the help
>
> [[alternative HTML version deleted]]
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