Hi,
Well, how did you make that little 10 row sample for us? The same
subsetting principles hold in R regardless of hugeness. I am kind of
assuming you have a matrix or data frame class object, in which case,
here is a little example for you:
## Big matrix
dat <- matrix(1L, nrow = 134000, ncol = 4)
## somewhat smaller matrix
dat2 <- dat[60000:90000, ]
## Show the objects' dimensions
dim(dat)
dim(dat2)
## show their size
object.size(dat)
object.size(dat2)
## For documentation see
?"["
Cheers,
Josh
On Sun, Feb 13, 2011 at 10:01 PM, kparamas <kparamas at asu.edu>
wrote:>
> Hi,
>
> I have a huge table with 134,000 entries. I want to choose only rows 60,000
> to 90,000.
> Please help me on how to do this.
>
> ? ? ? ? V1 ? ? ? V2 V3 ?V4
> 1 ?31.10267 168.3204 41 0.4
> 2 ?31.19941 168.1488 41 0.4
> 3 ?31.29580 167.9764 41 0.4
> 4 ?31.39183 167.8034 41 0.4
> 5 ?31.48750 167.6297 41 0.4
> 6 ?31.58280 167.4553 41 0.4
> 7 ?31.67774 167.2803 41 0.4
> 8 ?31.77229 167.1045 41 0.4
> 9 ?31.86648 166.9281 41 0.4
> 10 31.96028 166.7510 41 0.4
> ....
> --
> View this message in context:
http://r.789695.n4.nabble.com/Selecting-particular-rows-in-a-table-tp3304488p3304488.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> R-help at r-project.org mailing list
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> PLEASE do read the posting guide
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> and provide commented, minimal, self-contained, reproducible code.
>
--
Joshua Wiley
Ph.D. Student, Health Psychology
University of California, Los Angeles
http://www.joshuawiley.com/