multiple line plots
Assuming, as in your example, that you want to plot your
series against 1, 2, 3, ... first form a ts series, my.series,
and then plot it using the col= argument:
my.series <- do.call("cbind", lapply(tpos, ts))
m <- ncol(my.series)
ts.plot(my.series, col = 1:m)
Another possibility is to use col = rainbow(m) in the last line.
On 10/5/05, sosman <sourceforge at metrak.com> wrote:
I have some data in a CSV file:
time,pos,t,tl
15:23:44:350,M1_01,4511,1127
15:23:44:350,M1_02,4514,1128
15:23:44:350,M1_03,4503,1125
...
15:23:44:491,M2_01,4500,1125
15:23:44:491,M2_02,4496,1124
15:23:44:491,M2_03,4516,1129
...
15:23:44:710,M3_01,4504,1126
15:23:44:710,M3_02,4516,1129
15:23:44:710,M3_03,4498,1124
...
Each pos (eg M1_01) is an independent time series. I would like to plot
each time series as lines on a single plot and I wondered if there was
something more straight forward than I was attempting.
I got as far as:
fname = 't100.csv'
t = read.csv(fname)
tpos = split(t, t$pos)
plot(tpos[["M1_01"]]$t, type='l')
for (p in names(tpos)) {
lines(tpos[[p]]$t)
}
which seems to work but then I got stuck on how to make each line a
different colour and figured that there might a be a one liner R command
to do what I want.
Any tips would be appreciated.
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