Hi!
|"colClasses| character. A vector of classes to be assumed for the
columns."
I'm not an R expert and I don't know what your "flat file raw" is, but
the colClasses argument is to define whether the column will be treated
as containing "factors", "logical", "integer" etc...
For more on read.table, read the manual "R Data Import/Export" available
on the R-project website.
I don't know if it helps, but I hope it does!
Ivan
Le 2/11/2010 16:36, Johan Jackson a écrit :
> Hi all,
>
> First off, it is surprising that there are no examples of how to use
> read.table() under ?read.table !
>
> I am trying to read in a flat file of type 'raw'. It has 1000 rows and 600K
> columns. I have the RAM to accomplish this, but can't get the data into R
> using read.table:
>
> x<- read.table("data",header=TRUE,colClasses=rep(,600000))
> #returns error: no method or default for coercing "character" to "raw"
>
> Then I thought that maybe the colClasses vector needed to actually *be* the
> mode needed (here's where an example under ?read.table would help):
>
> x<- read.table("data",header=TRUE,colClasses=rep(as.raw(1),600000))
>
> I waited on the latter command for a couple of hours before killing the
> process. What should the colClasses argument be?
>
> Should I be using another method to read the data into R? Previous
> experience using scan() and readLines() showed that read.table() was faster,
> at least for those examples, so I've stopped trying to use those other
> functions.
>
> Thank you,
>
> JJ
>
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>
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