The data I have is tab delimited file with 7000 lines of 19 values each
(representing 7000 permutations on 19 variables). I want to get it into
the ROCR package which expects the data to be in lists - single list of
19 values for each permutation, e.g. list of 7000 lists of 19 values each.
I hope this is little clearer.
Tomas
jim holtman wrote:
> What is it that you want to do? The 'scan' statement give you a list
> of length 7000 with 19 entries each. Do you want to create a matrix
> that has 7000 rows by 19 columns? If so, then you just have to take
> the output 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:
>
>> Hi Jim,
>>
>> thanks a lot. It works, however - my other problem is that I need to
>> transpose the original table before reading it into the list because the
>> data come from Excel and it can't handle 7000 columns. I could read it
>> in R transpose end write into a new tab delim file and then read 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 needs to be transposed) I am not
>>>> sure how to go about it.
>>>>
>>>> Coudl somebody suggest a way?
>>>>
>>>> Thanks,
>>>>
>>>> Tomas
>>>>
>>>> ______________________________________________
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>>>> PLEASE do read the posting guide
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>>>> and provide commented, minimal, self-contained, reproducible code.
>>>>
>>>>
>>>>
>>>
>>>
>
>
>
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