plot a list

I have one more question.  The below example is revised to better
reflect the problem that I am running into.  The two columns for each
data frame in the list are named the same because they are subsets of
the same site, which has the same name in the larger data set.  So
when xyplot plots the merged list it labels each plot with a
structure(...) see the plot in the example below.  I need to have the
labels from each column (Temp and DO) show up on each one of there
corresponding plots.  I am using this to scan the data for "bad"
dissovled oxygen signals so that I can throw out erroneous readings
before the calculation of Primary Productivity.  Thanks in advance.
If this is not clear I will try and explain better.

#here is a made up example
library(chron)
library(zoo)
t1 <- chron("1/1/2006", "00:01:00")
t2 <- chron("1/1/2006", "23:46:00")
deltat <- times("00:15:00")
tt <- seq(t1, t2, by = times("00:15:00"))
DO <- rnorm(96)
Temp <- rnorm(96)
a <- cbind(Temp, DO)


t3 <- chron("12/1/2006", "00:01:00")
t4 <- chron("12/1/2006", "23:46:00")
deltat <- times("00:15:00")
tt.2 <- seq(t3, t4, by = times("00:15:00"))
DO <- rnorm(96)
Temp<- rnorm(96)
b <- cbind(Temp, DO)

t5 <- chron("5/1/2006", "00:01:00")
t6 <- chron("6/1/2006", "23:46:00")
deltat <- times("00:15:00")
tt.3 <- seq(t5, t6, by = times("00:15:00"))
DO <- rnorm(96)
Temp<- rnorm(96)
g <- cbind(Temp, DO)

z1 <- zoo(a, tt)
z2 <- zoo(b, tt.2)
z3 <- zoo(g, tt.3)

z.l <- list(z1,z2,z3)

zm <- do.call(merge, z.l)
xlim <- lapply(zm, function(x) range(time(na.omit(x))))
xyplot(zm, xlim = xlim, scale = list(relation = "free"))

On Sat, Sep 6, 2008 at 9:17 PM, Gabor Grothendieck
<ggrothendieck at gmail.com> wrote:

Try xyplot.zoo with scale = list(relation = "free")
specifying xlim as shown below:

library(zoo)
library(lattice)
zm <- do.call(merge, z.l)
xlim <- lapply(zm, function(x) range(time(na.omit(x))))
xyplot(zm, xlim = xlim, scale = list(relation = "free"))

On Sat, Sep 6, 2008 at 7:49 PM, stephen sefick <ssefick at gmail.com> wrote:

the plot(do.call(merge, z.l)) works on the following data well.  Is
there a way to get control of xlim so that it plots each individual
graph shows only the one day (figures the x axis on the range of the
data for each plot individually) and control labeling?  Thanks in
advance, and sorry for not putting an example in the first email.

#here is a made up example
library(chron)
library(zoo)
t1 <- chron("1/1/2006", "00:01:00")
t2 <- chron("1/1/2006", "23:46:00")
deltat <- times("00:15:00")
tt <- seq(t1, t2, by = times("00:15:00"))
DO <- rnorm(96)
Temp <- rnorm(96)
a <- cbind(Temp, DO)


t3 <- chron("12/1/2006", "00:01:00")
t4 <- chron("12/1/2006", "23:46:00")
deltat <- times("00:15:00")
tt.2 <- seq(t3, t4, by = times("00:15:00"))
DO.2 <- rnorm(96)
Temp.2<- rnorm(96)
b <- cbind(Temp.2, DO.2)

z1 <- zoo(a, tt)
z2 <- zoo(b, tt.2)

z.l <- list(z1,z2)
plot(do.call(merge, z.l))

On Sat, Sep 6, 2008 at 7:22 PM, Gabor Grothendieck
<ggrothendieck at gmail.com> wrote:

Please read the last line to every message to r-help. In particular
this question needs to include a cut down version of the data.

I'll take a guess at what it looks like:

library(zoo)
L <- list(a = zoo(1:3), b = zoo(4:5))
plot(do.call(merge, L))


On Sat, Sep 6, 2008 at 4:47 PM, stephen sefick <ssefick at gmail.com> wrote:

i have a list of 6 each containing a dataframe of 96 observations as a
zoo object.  Is there a way to plot these in one frame
par(mfrow=c(3,2))

this is what I tried
lapply(d, FUN=plot)

I can provide data, list is large.
thanks

--
Stephen Sefick
Research Scientist
Southeastern Natural Sciences Academy

Let's not spend our time and resources thinking about things that are
so little or so large that all they really do for us is puff us up and
make us feel like gods. We are mammals, and have not exhausted the
annoying little problems of being mammals.

       -K. Mullis

--
Stephen Sefick
Research Scientist
Southeastern Natural Sciences Academy

Let's not spend our time and resources thinking about things that are
so little or so large that all they really do for us is puff us up and
make us feel like gods. We are mammals, and have not exhausted the
annoying little problems of being mammals.

       -K. Mullis

--
Stephen Sefick
Research Scientist
Southeastern Natural Sciences Academy

Let's not spend our time and resources thinking about things that are
so little or so large that all they really do for us is puff us up and
make us feel like gods. We are mammals, and have not exhausted the
annoying little problems of being mammals.

       -K. Mullis