I/O is not greatly improved by vectorization, except that whole files being
read or written as units is faster than looping over rows.
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Raghuraman Ramachandran <optionsra...@gmail.com> wrote:
>Thx Jeff. I could use a loop no doubt but I thought that will reduce
>the
>speed and I was thinking there could be a vectorisation idea. I will
>try
>your way. Cheers.
>
>On Sat, Jul 14, 2012 at 3:51 PM, Jeff Newmiller
><jdnew...@dcn.davis.ca.us>wrote:
>
>> You have to wrap the write calls in some kind of loop. For your
>example,
>> you could use a for loop. If you have multiple rows of one name you
>might
>> look into the dlply function from the plyr package and use lapply to
>do the
>> actual write calls.
>>
>---------------------------------------------------------------------------
>> Jeff Newmiller The ..... ..... Go
>Live...
>> DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#. Live
>> Go...
>> Live: OO#.. Dead: OO#..
>Playing
>> Research Engineer (Solar/Batteries O.O#. #.O#. with
>> /Software/Embedded Controllers) .OO#. .OO#.
>rocks...1k
>>
>---------------------------------------------------------------------------
>> Sent from my phone. Please excuse my brevity.
>>
>> Raghuraman Ramachandran <optionsra...@gmail.com> wrote:
>>
>> >GuRus
>> >
>> >How do I use the write function (or write.table or write.csv) to
>> >achieve
>> >the following please?
>> >
>> >age=c(32,37,39)
>> >names=c("john","peter","jake")
>> >
>> >I would like create in a directory 3 files each named as
>> >john.csv,peter.csv
>> >and jake.csv and each file have data from the age vector. That is
>> >jon.csv
>> >will contain 32, peter.csv will contain 37 and jake.csv will contain
>> >39.
>> >
>> >Thanks for the help.
>> >
>> >Raghu
>> >
>> > [[alternative HTML version deleted]]
>> >
>> >______________________________________________
>> >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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