GGplot2 stat_summary

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

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