Hi,
As a first exercise with R, I am misusing it purely as a plotting
tool. I have some data that look like this:
date group dept cputime
2008/01 A phys 124
2008/01 B phys 214
2008/01 C chem 281
2008/02 A phys 092
2008/02 B phys 322
2008/02 C chem 821
2008/03 A phys 678
2008/03 B phys 312
2008/03 C chem 515
2008/04 A phys 302
2008/04 B phys 302
2008/04 C chem 571
2008/05 A phys 452
2008/05 B phys 243
2008/05 C chem 155
2008/06 A phys 230
2008/06 B phys 306
2008/06 C chem 235
I want to create barplots of CPU time per month for
- individual groups
- individual departments
- all groups
- all departments
Currently to get stacked barplot for, say, groups, I am doing:
t <- read.table("cpu.dat",header=TRUE)
a <- subset(t,group=="A")
b <- subset(t,group=="B")
c <- subset(t,group=="C")
m <- rbind(a$cputime,b$cputime,c$cputime)
n_groups <- length(levels(t$group));
barplot(m,names.arg=levels(t$date))
Although this works, it strikes me as a little clumsy. In particular,
the creation of the matrix for the barplot seems somewhat inelegant.
I suspect I may be missing something. Does anyone have a better
solution?
Thanks
Loris
--
Dr. Loris Bennett
Computer Centre
Freie Universit?t Berlin
Berlin, Germany