labeling points with legend

[Darío Suárez Gracia]

Hello,
I'm a newbie with ggplot2. I have problems generating a scatterplot
in which each point is labeled with an ID(number, letter, ...) and the
legend includes the ID and the name of each point. Shapes could be a
good choice but I don't know how to extend them to more than 6
choices.

The used data looks as follows
benchmark IPC dl1.mpki dl2.mpki dl3.mpki
1 400.perlbench 1.8233 11.7052 0.1550 0.0564
2 401.bzip2 1.1567 64.4849 12.8893 10.8238
3 403.gcc 1.5815 14.9741 2.0674 0.3860
4 410.bwaves 2.0622 54.4960 2.2584 2.9829
5 416.gamess 2.5907 1.2177 0.0018 0.0012

but includes up to 50 rows. With:
ggplot(data, aes(IPC, dl1.mpki)) + geom_text(aes(label=1:27), size =
3, angle=60)

It shows an ID in every point but I'm unable to generate a legend
like:
1 400.perlbench
2 401.bzip2

Any idea would be really appreciated.

Thanks in advance for your help,
Darío

[takahashi kohske]

Hi,

maybe I cannot understand what you want to do, but please try:

ggplot(data[1:5,], aes(IPC,
dl1.mpki))+geom_text(aes(label=paste(1:5,d$benchmark)),size=3,angle=60)

HTH.

2010/3/23 Darío Suárez Gracia <dariosua...@gmail.com>:

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[Xie Chao]

Hi Dario,

If I understand you correctly, you want to use numbers or letters to
annotate data points on the plot, and then use legend to explain the
meaning of the number or letters?

df <- data.frame(x=rnorm(5), y=rnorm(5), name=paste('name', letters[1:5]))
qplot(x,y, data=df) +
geom_point(aes(x+0.06, shape=name), size=3) +
scale_shape_manual(values = as.character(as.numeric(df$name)))

Or if you have more than 10 data points, replace the last statement with
scale_shape_manual(values = letters[df$name])

I am not sure how to make this (annotation + legend) work for more
than 36 data points, but isn't a 37-row legend too big for a plot?

Xie Chao

2010/3/24 takahashi kohske <takahash...@gmail.com>:

[Darío Suárez Gracia]

Hi all,
Thank you very much for your help, especially Xie Chao. Your example
is what I was looking for because we have less than 30 points.

Best regards,
Darío