Gabor, thanks a lot!
I removed everything from the work space but the data frame - and then
DF[is.na(DF)]<-0 has worked!
Thanks a lot!
Dimitri
On Mon, Mar 29, 2010 at 8:45 PM, Gabor Grothendieck
wrote:
> Its going to be pretty hard to do anything useful if you can`t even do
> simple operations li
Its going to be pretty hard to do anything useful if you can`t even do
simple operations like that without overflowing memory but anyways try
this (untested):
write.table(DF, "DF.csv", sep = ",", quote = FALSE)
rm(DF)
DF <- read.csv(pipe("sed s/NA/0/g DF.csv"))
On Mon, Mar 29, 2010 at 8:33 PM, D
To be specific, my data frame is 4000 by 2200.
On Mon, Mar 29, 2010 at 8:33 PM, Dimitri Liakhovitski wrote:
> Just tried it. It's definitely faster - but I get the same error:
> " Reached total allocation of 1535Mb:"
>
> On Mon, Mar 29, 2010 at 8:27 PM, Gabor Grothendieck
> wrote:
>> See if this
Just tried it. It's definitely faster - but I get the same error:
" Reached total allocation of 1535Mb:"
On Mon, Mar 29, 2010 at 8:27 PM, Gabor Grothendieck
wrote:
> See if this works for you:
>
> DF[is.na(DF)] <- 0
>
> On Mon, Mar 29, 2010 at 8:21 PM, Dimitri Liakhovitski
> wrote:
>> Dear R'er
See if this works for you:
DF[is.na(DF)] <- 0
On Mon, Mar 29, 2010 at 8:21 PM, Dimitri Liakhovitski wrote:
> Dear R'ers,
>
> I have a very large data frame (over 4000 rows and 2,500 columns). My
> task is very simple - I have to replace all NAs with a zero. My code
> works fine on smaller data f
Dear R'ers,
I have a very large data frame (over 4000 rows and 2,500 columns). My
task is very simple - I have to replace all NAs with a zero. My code
works fine on smaller data frames - but I have to deal with a huge one
and there are many NAs in each column.
R runs out of memory on me ("Reached
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