Re: [R] multiple line plots

From: Prof Brian Ripley <ripley_at_stats.ox.ac.uk>
Date: Thu 06 Oct 2005 - 20:04:41 EST


> # Not sure why this did not work
> #sapply(tw, setlen, len)

It probably did, but you discarded the result. Try

tw <- sapply(tw, setlen, len)

On Thu, 6 Oct 2005, sosman wrote:

> Marc Schwartz wrote:
> > On Wed, 2005-10-05 at 22:19 +1000, sosman 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.
> >
> >
> >
> > See the examples in ?plot.ts for some approaches.
> >
> > You will need to review ?ts to create time series objects from your data
> > to be used in plot.ts().
> >
> > Another approach, which is not specific to time series, is ?matplot.

>

> The matplot example looks like the go.
>

> The example data didn't really show the grouping and even though I
> mentioned time series, simply plotting the t values as an ordered
> sequence is fine for this application (sorry about the red herring).
>

> The dataset below is what I should have shown:
>

> pos t
> 1 M1_01 4511
> 2 M1_02 4514
> 3 M1_03 4503
> 4 M1_01 4500
> 5 M1_02 4496
> 6 M1_03 4516
> 7 M1_01 4504
> 8 M1_02 4516
> 9 M1_03 4498
>

> So what I ended up with was:
>

> # Make a wide data set
> tw = unstack(t, t ~ pos)
> # Results in a list since not all series the same length
> # Find the shortest dataset
> len = min(sapply(tw, length))
>

> setlen = function(l, newlen) { length(l) = newlen }
> # Not sure why this did not work
> #sapply(tw, setlen, len)
>

> for (n in names(tw)) {
> length(tw[[n]]) = len
> }
> matplot(data.frame(tw), type='l')
>

> Apart from flying a bit blind, I obtained the plot I was after.
>

> thanks
>

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-- 
Brian D. Ripley,                  ripley@stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272860 (secr)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595

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Received on Thu Oct 06 20:41:52 2005

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