[R] How to import time-series data

[Gabor Grothendieck]

On Sun, Feb 12, 2012 at 12:35 PM, RichardSmith
<richardsmith404 at gmail.com> wrote:
>
> Gabor Grothendieck wrote
>>
>> Something seems to have gone wrong in the posting since we can't see
>> the sample data that seems to be intended to be part of the post.
> Sorry, I posted via Nabble using the 'raw' command, which got stripped out
> it seems. Here's a small sample of the data...
> plant,aphid,1,2,3,4
> pumpkin,1-2,0.065566,0.057844,0.08,0.086879
> pumpkin,1-3,0.107612,0.097272,0.11663,0.160499
> squash,1-4,0.126939,0.115003,0.140275,0.188829
>
> columns named 1,2,3,4 etc. correspond to the weight of an aphid after that
> many days on that plant. I want to be able to plot the growth of all aphids
> on one plot, grouped by plant.
>

Try this xyplot.zoo lattice graph.   Time series are represented in
columns so we transpose the data and convert it to zoo.  The screen=
argument available in xyplot.zoo groups series into panels:

Lines <- "plant,aphid,1,2,3,4
pumpkin,1-2,0.065566,0.057844,0.08,0.086879
pumpkin,1-3,0.107612,0.097272,0.11663,0.160499
squash,1-4,0.126939,0.115003,0.140275,0.188829"

library(zoo)
library(lattice)
DF <- read.csv(text = Lines)
z <- zoo(t(DF[3:6]))
colnames(z) <- DF$aphid
xyplot(z, screen = DF$plant)

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