It is a big file which is going to take some time to read. How long
probably depends as much on your disks as on R. On my system:
> system.time( y <- scan(file = "/tmp/dat.txt", what = integer(0)) )
Read 1200000000 items
user system elapsed
197.085 15.164 216.149
This is with a test file containing only the value 0: try that first.
Try a faster disk (local, not NFS, for example).
Hope this helps a little.
Allan.
On 20/08/09 08:30, Mohamed Lajnef wrote:
> Dear Jim & Michael
>
> the file contains 1000 lines and 1.200.000 columns, txt format and i
> wish to read all the file with R if possible, or read a few columns?
>
> I tried without success to turn bigmemory and colbycol packages, also
> scan and readLines function but It takes a long time without anything.
>
> I have windows X64 bits 8 Go
>
> In advance thanks
> ML
>
>
>
>
> jim holtman a écrit :
>> A little more detail would be appropriate. How large is "large"?
>> What is the format of the file? What do you wnat to do with the data?
>> Do you have to have it all in memory at once? Does it exist in a
>> data base already? What type of system are you running on? How much
>> memory do you have? ............
>>
>> On Wed, Aug 19, 2009 at 4:51 AM, Mohamed
>> Lajnef<mohamed.laj...@inserm.fr> wrote:
>>> Dear R-Users,
>>>
>>> I am looking for packages that could read large files in R?
>>> any suggestions are welcome.
>>> Regards,
>>> ML
>>>
>>> ______________________________________________
>>> 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.
>>>
>>
>>
>>
>
> ______________________________________________
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> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
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