Hello,
I have read recent posts on this topic (Dr. Ronnen Levinson's Monday 02:39:55
pm), but before I install a 64 bit system, and purchase more RAM, I want to
make sure I understand this interesting issue.
I was attempting to plot a data frame containing Dow Jones stock information:
> length(Date)
[1] 19957
> length(Close)
[1] 19957
> head(DowJones)
Date Open High Low Close Volume Adj.Close
1 03/26/08 12531.79 12531.79 12309.62 12422.86 4055670000 12422.86
2 03/25/08 12547.34 12639.82 12397.62 12532.60 4145120000 12532.60
3 03/24/08 12361.97 12687.61 12346.17 12548.64 4499000000 12548.64
4 03/20/08 12102.43 12434.34 12024.68 12361.32 2078450000 12361.32
5 03/19/08 12391.52 12525.19 12077.27 12099.66 1203830000 12099.66
6 03/18/08 11975.92 12411.63 11975.92 12392.66 1263390000 12392.66
> tail(DowJones)
Date Open High Low Close Volume Adj.Close
19952 10/08/28 240.17 243.33 237.72 239.55 3940000 239.55
19953 10/05/28 240.00 243.08 238.22 240.44 4360000 240.44
19954 10/04/28 237.75 242.53 237.72 240.00 4330000 240.00
19955 10/03/28 238.14 239.14 233.60 237.75 4060000 237.75
19956 10/02/28 240.01 241.54 235.42 238.14 3850000 238.14
19957 10/01/28 239.43 242.46 238.24 240.01 3500000 240.01
> plot(Date, Close)
Error: cannot allocate vector of size 3.0 Gb
>
I currently have installed R 2.60, from source, onto Linux SuSE 10.2. I
believe it is a 32 bit install:
> dmesg | grep bit
> ...
> hpet0: 3 32-bit timers, 25000000 Hz
I have 1GB of RAM, with circa 883.61 not allocated to hardware after boot.
I naively thought 19957 rows of data would be easily handled by a fairly new
computer. R was able to cease execution, and place control back onto its
interpreter, while a Chart attempt in OpenOffice locks up OpenOffice.
So, will installation of a 64 bit Operating System, and at least an
additional 1GB of RAM suffice to generate memory space for a 3.0 Gb vector,
in R?
Much appreciated, time to buy a new computer?
John
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
