Here is a variation of the example below which uses
your data. Paste this into an R session:
Lines - 19:08:15 %usr %nice %sys %idle
19:08:165 0 10 86
19:08:17 17 0 14 69
19:08:185 0 8 87
19:08:19 10 0 10 81
19:08:203 0 7 90
19:08:214 0 8 88
library(zoo)
library(chron)
# in reality the commented line next replaces the one after it
# z - read.csv(myfile.dat, header = TRUE, FUN = times)
z - read.zoo(textConnection(Lines), header = TRUE, FUN = times)
colnames(z) - sub(X., % , colnames(z))
barplot(z[, 1:3], legend = TRUE, col = 1:3)
On Tue, Jun 3, 2008 at 7:47 PM, Achim Zeileis
[EMAIL PROTECTED] wrote:
On Tue, 3 Jun 2008, Demetri S. Mouratis wrote:
Hi,
I'm trying to plot time-series data where each sample breaks down the
percentage of CPU time spent in each of four states (usr, nice, sys, idle)
19:08:15 %usr %nice %sys %idle
19:08:165 0 10 86
19:08:17 17 0 14 69
19:08:185 0 8 87
19:08:19 10 0 10 81
19:08:203 0 7 90
19:08:214 0 8 88
[on and on for many samples]
The plot I'm aiming for would stack the first three states in a colored
barplot, so you get a visual sense of how busy the system is over the course
of the day, and which state the CPU is spending its time in. (I've done
this as area charts as well).
barplot() looked promising, but it wants to stack the columns instead of
the rows.
Anybody have a good solution for this?
The zoo package provides a barplot() method for zoo series.
Example with some artificial data:
library(zoo)
x - matrix(runif(44), ncol = 4)
colnames(x) - c(%usr, %nice, %sys, %idle)
z - zoo(x, Sys.time() - c(10:0))
barplot(z, legend = TRUE)
hth,
Z
Thanks!
...Demetri
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
__
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
