Mindy-
>
> If the sub-directories are named in a structured way --- say sd1, sd2,
> sd3, ..., sd100 --- then one option is a simple for-loop. Something like
> the code below.
>
> -tgs
>
> directory.path <- '~/blahblah/' # or 'C:/blahblah/' for windows
> sd.names <- paste(directory.path,'sd',1:100,sep="")
> output <- array(NA, dim=c(100, number.of.statistics) )
>
> for( i in 1:100){
> setwd(sd.names[i])
>
> ... Code to read file, and calculate stats ...
> ... Code to store stats in output array ...
>
> }
>
>
>
>
> On Thu, Dec 6, 2012 at 1:13 PM, Min Dong <mindyd...@gmail.com> wrote:
>
>> Hi, everyone:
>>
>>
>>
>> I have multiple dataset (say 100) in different subdirectory. They have
>> same
>> name and exactly same format. I want to get summary for some columns for
>> each of these dataset (such as mean, SD etc), and list the summary in one
>> output file. It is for sure not effective if I do this one by one. Can
>> anyone advise me how to do it on the fly using R?
>>
>>
>>
>> More specifically, I wish to accomplish 2 jobs:
>>
>> 1), Import those 100 dataset to R. I will then have 100 data frames.
>>
>> 2), Analyze these 100 data frames simultaneously.
>>
>>
>>
>> I am a newbie for R. Any suggestion would be greatly appreciated.
>>
>>
>>
>> Thank you very much.
>>
>>
>>
>> Mindy
>>
>> [[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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