I've had a good look around this site and others on how to set the hjust and vjust according to a value in a particular column. The following shows how the data is structured (but is a simplified subset of many entries for many years):
YearStart <- c(2001,2002,2003,2001,2002,2003)
Team <- c("MU","MU","MU","MC","MC","MC")
Attendance <- c(67586,67601,67640,33058,34564,46834)
Position <- c(3,1,3,1,9,16)
offset <-c()
df <- data.frame(YearStart,Team,Attendance,Position)
so
> head(df)
YearStart Team Attendance Position
1 2001 MU 67586 3
2 2002 MU 67601 1
3 2003 MU 67640 3
4 2001 MC 33058 1
5 2002 MC 34564 9
6 2003 MC 46834 16
what I would like to acheive is a vjust value based on the Team. In the following, MU would be vjust=1 and MC would be vjust=-1 so I can control where the data label is located from the data group with which it is associated.
I've tried to hack around a couple of examples that use a function containing a lookup table (it's not a straight ifelse as I have many values for Team) but I can't seem to pass a string to the function through the aes method along these lines:
lut <- list(MU=1,MC=-1)
vj <-function(x){lut[[x]]}
p=ggplot(df, aes(YearStart, Attendance, label=Position, group=Team))+
geom_point()+
geom_text(aes(vjust = vj(Team) ) )
print(p)
The following is pseudo(ish)code which applies the labels twice to each group in each location above and below the points.
p=ggplot(df, aes(YearStart, Attendance, label=Position, group=Team))+
geom_point()+
geom_text(aes(Team="MU"), vjust=1)+
geom_text(aes(Team="MC"), vjust=-1)
print(p)
I've tried several other strategies for this and I can't tell whether I'm trying this from the wrong direction or I'm just missing a very trivial piece of ggplot syntax. I've accomplished a stop-gap solution by labelling them manually in Excel but that's not sustainable :-)
Offset
in your data.frame butoffset
in theggplot
call. – Andrie