On 10/28/2011 07:21 AM, Enrico Schumann wrote:
> A simple way may be not to plot all data points. But it will depend on
> your data if that is a good idea.
>
> Regards,
> Enrico
>
> ## EXAMPLE
>
> require("zoo")
>
> ## random data
> dates <- seq(from = as.Date("2000-01-01"),
> to = a
A simple way may be not to plot all data points. But it will depend on
your data if that is a good idea.
Regards,
Enrico
## EXAMPLE
require("zoo")
## random data
dates <- seq(from = as.Date("2000-01-01"),
to = as.Date("2011-10-31"), by = "1 day")
x <- cumsum(rnorm(length(dates)
Try another format (tiff, jpg, etc) to see how they look, what the
sizes are for different resolutions. If you have a lot of single
points, PDF files get very large because of the commands used to print
each point. If you want to keep PDF, then find some way of
aggregating the data points so that
hello,
I got a problem with plotting large time series, since I want to store
the results in a .PDF file (I want to store several pages of plots). The
PDF files get too large to be handled (> 10MB, one was even 200MB big).
So I wonder, if there would be a possibilty to either
- reduce the fil
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