i386, mingw32
> status
> major 2
> minor 6.0
> year 2007
> month 10
> day03
> svn rev43063
> language R
> version.string R version 2.6.0 (2007-10-03)
>>
>
>
> Chuck
>
> On Mon, 22 O
> you mention.
>
> I am using
>
>> version
>_
> platform i386-pc-mingw32
> arch i386
> os mingw32
> system i386, mingw32
> status
> major 2
> minor 6.0
> year 2007
> month
ng.r.general
>
> the above article was the firt reply to your original query. I am
> puzzled as to why you did not simply implement one of the three
> methods shown there.
>
> Chuck
>
> On Mon, 22 Oct 2007, Tomas Vaisar wrote:
>
>> Hi Jim,
>>
>> I re
rmat that the 'scan' approach
> should provide. I was just confused when you said that you were going
> to have to transpose it, write it and then read it back in for some
> reason. I understand that Excel can not handle 7000 columns, but was
> wondering where that came into
tput of the 'scan' and do:
>
> x.matrix <- do.call('rbind', x) # gives 7000 x 19 matrix.
>
> So I am still not sure exactly what your input is and what you want to
> do with it.
>
> On 10/21/07, Tomas Vaisar <[EMAIL PROTECTED]> wrote:
>
>
ad it back
in, but I would think that there might be a way in R to do both.
Would you know about the way?
Tomas
jim holtman wrote:
> another choice is:
>
> x <- scan('temp.txt', what=c(rep(list(0), 19)))
>
> On 10/20/07, Tomas Vaisar <[EMAIL PROTECTED]> wrote:
>
Hi,
I am new to R and need to read in a file with 19 columns and 7000 rows
and make it into a list of 7000 lists with 19 items each. For a
simpler case of 10 by 10 table I used x <-scan("file",
list(0,0,0,0,0,0,0,0,0,0)), perhaps clumsy, but it did the job.
However with the large 19x7000 (which n
7 matches
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