On Jul 11, 2011, at 12:00, Bert Gunter <[email protected]> wrote:
> Simon:
>
> Basic basic stuff (not grep -- the stuff thereafter) . Please read the
> docs, especially the tutorial, An Intro to R.
>
> ... and Josh's solution can be shortened to (as he knows):
>
> index <- grep("Document+.", yourfile, value = FALSE) + c(2,4)
>
Really? Won't the 2 and 4 get recycled so that every other element returned
from grep will have 2 or 4 added instead of 2 *and* 4?
My understanding is that Simon has a single file with for example Document 1 on
line 1 Document 2 on line 301 etc. And he wants both the 2nd and 4th lines
after each document, so lines 3, 5, 303, 305 but just doing + c(2,4) would only
give 3, 305.
Josh
> -- Bert
>
> On Mon, Jul 11, 2011 at 11:19 AM, Joshua Wiley <[email protected]> wrote:
>> Try this (untested as I'm on my iPhone now):
>>
>> index <- grep("Document+.", yourfile, value = FALSE)
>> index <- c(index + 2, index + 4)
>>
>> You just need to make sure you avoid recycling, e.g.,
>>
>> 1:10 + c(2, 4) # not what you want
>>
>> If you want a sufficient number of lines that manually writing index +
>> becomes cumbersome, you could use something like:
>>
>> as.vector(sapply(c(2, 4), "+", e2 = index))
>>
>> HTH,
>>
>> Josh
>>
>> On Jul 11, 2011, at 11:09, Simon Kiss <[email protected]> wrote:
>>
>>> Josh, that's amazing. Is there any way to have it grab two different lines
>>> after the grep, say the second and the fourth line? There's some other
>>> information in the text file I'd like to grab. I could do two separate
>>> commands, but I'd like to know if this could be done in one command...
>>> Simon Kiss
>>> On 2011-07-11, at 1:31 PM, Joshua Wiley wrote:
>>>
>>>> If you know you can find the start of the document (say that line
>>>> always starts with Document...), then:
>>>>
>>>> grep("Document+.", yourfile, value = FALSE) + 4
>>>>
>>>> should give you 4 lines after each line where Document occurred. No
>>>> loop needed :)
>>>>
>>>> On Mon, Jul 11, 2011 at 10:25 AM, Simon Kiss <[email protected]> wrote:
>>>>> Hi Josh,
>>>>> Sorry for the insufficient introduction. This might work, but I'm not
>>>>> sure.
>>>>> The file that I have includes up to 100 documents (Document 1, Document
>>>>> 2, Document 3....Document 100) with the newspaper name following 4 lines
>>>>> below each Document number.
>>>>> I'm using readlines to get the text file into R and then trying to use
>>>>> grep to get the newspaper name for each record. But your idea of indexing
>>>>> the text object read into R with the line number where the newspaper name
>>>>> is found is a good one. I'll just have to come up with a loop to tell R
>>>>> to get the 4th, 8th, 12, 16th, line, etc.
>>>>> I'll see if I can get that to work.
>>>>> Simon
>>>>> On 2011-07-11, at 12:45 PM, Joshua Wiley wrote:
>>>>>
>>>>>> Dear Simon,
>>>>>>
>>>>>> Maybe I don't understand properly....if you are doing this in R, can't
>>>>>> you just pick the line you want?
>>>>>>
>>>>>> Josh
>>>>>>
>>>>>> ## print your data to clipboard
>>>>>> cat("Document 1 of 100 \n \n \n Newspaper Name \n \n Day Date", file =
>>>>>> "clipboard")
>>>>>> ## read data in, and only select the 4th line to pass to grep()
>>>>>> grep("pattern", x = readLines("clipboard")[4])
>>>>>>
>>>>>>
>>>>>> On Mon, Jul 11, 2011 at 9:31 AM, Simon Kiss <[email protected]> wrote:
>>>>>>> Dear colleagues,
>>>>>>> I have a series of newspaper articles in a text file, downloaded from a
>>>>>>> text file. They look as follows:
>>>>>>>
>>>>>>> Document 1 of 100
>>>>>>> \n
>>>>>>> \n
>>>>>>> \n
>>>>>>> Newspaper Name
>>>>>>> \n
>>>>>>> \n
>>>>>>> Day Date
>>>>>>>
>>>>>>> I have a series of grep scripts that can extract the date and convert
>>>>>>> it to a date object, but I can't figure out how to grep the newspaper
>>>>>>> name. There is no field ID attached to those lines. The best I can
>>>>>>> come up with would be to have the program grep the four lines following
>>>>>>> matching the pattern "Document [0-9]". There is an an argument to grep
>>>>>>> in unix that can do this ...grep -A4 'pattern' infile>outfile, but I
>>>>>>> don't know if there is an equivalent argument in R.
>>>>>>>
>>>>>>> Any thoughts.
>>>>>>> Yours, Simon Kiss
>>>>>>> *********************************
>>>>>>> Simon J. Kiss, PhD
>>>>>>> Assistant Professor, Wilfrid Laurier University
>>>>>>> 73 George Street
>>>>>>> Brantford, Ontario, Canada
>>>>>>> N3T 2C9
>>>>>>> Cell: +1 905 746 7606
>>>>>>>
>>>>>>> ______________________________________________
>>>>>>> [email protected] 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.
>>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>>> --
>>>>>> Joshua Wiley
>>>>>> Ph.D. Student, Health Psychology
>>>>>> University of California, Los Angeles
>>>>>> https://joshuawiley.com/
>>>>>
>>>>> *********************************
>>>>> Simon J. Kiss, PhD
>>>>> Assistant Professor, Wilfrid Laurier University
>>>>> 73 George Street
>>>>> Brantford, Ontario, Canada
>>>>> N3T 2C9
>>>>> Cell: +1 905 746 7606
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>
>>>>
>>>>
>>>> --
>>>> Joshua Wiley
>>>> Ph.D. Student, Health Psychology
>>>> University of California, Los Angeles
>>>> https://joshuawiley.com/
>>>
>>> *********************************
>>> Simon J. Kiss, PhD
>>> Assistant Professor, Wilfrid Laurier University
>>> 73 George Street
>>> Brantford, Ontario, Canada
>>> N3T 2C9
>>> Cell: +1 905 746 7606
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>
>> ______________________________________________
>> [email protected] 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.
>>
>
>
>
> --
> "Men by nature long to get on to the ultimate truths, and will often
> be impatient with elementary studies or fight shy of them. If it were
> possible to reach the ultimate truths without the elementary studies
> usually prefixed to them, these would not be preparatory studies but
> superfluous diversions."
>
> -- Maimonides (1135-1204)
>
> Bert Gunter
> Genentech Nonclinical Biostatistics
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