plotting big zoo object memory problem

You could try plotting it in pieces to use less RAM.

library(zoo)
library(chron)
z <- zoo(1:10, chron(1:10))

# same as plot(z)
plot(z[1:5], ylim = range(z), xlim = range(time(z)))
lines(z[5:10])
the comma seperated file is 37Mb, and I get the below message:
it is zoo object read in this way:

# chron
library(chron)
fmt.chron <- function(x) {
+    chron(sub(" .*", "", x), gsub(".* (.*)", "\\1:00", x))
+ }
z1 <- read.zoo("all.csv", sep = ",", header = TRUE, FUN = fmt.chron)
and then the plot is done with:

plot(z2[, c(2, 15, 28, 41, 54, 67, 80, 93, 106)], main="SpCond 9/6/06 on", xlab="Date")
and the resulting warning message:

Warning messages:
1: In attr(x, "index") <- attr(x, "oclass") <- attr(x, "frequency") <- NULL :
 Reached total allocation of 502Mb: see help(memory.size)
2: In attr(x, "index") <- attr(x, "oclass") <- attr(x, "frequency") <- NULL :
 Reached total allocation of 502Mb: see help(memory.size)

it still plots the file.  I am currently limited to my computer at
work with only 504Mb of RAM (windows), and my computer at home with
1Gb of RAM (Macintosh).  But I will probably be using my work computer
for a lot of analysis on this data set (and it will become marginally
larger).  Will this be a problem?  I am a biologist not a computer
scientist.
thanks for the help

--
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

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plotting big zoo object memory problem

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