Re: [R] Any existing functions for reading and extracting data from path names?

From: Ista Zahn <izahn_at_psych.rochester.edu>
Date: Fri, 11 Mar 2011 13:15:13 -0500

Thanks Henrik, that is exactly what I was hoping for!

Best,
Ista

On Fri, Mar 11, 2011 at 1:02 PM, Henrik Bengtsson <hb_at_biostat.ucsf.edu> wrote:
> Hi,
>
> the R.filesets package was designed for this.  It is heavily used by
> the aroma framework (http://www.aroma-project.org/), so it got a fair
> bit of mileage now (in a good a way).  Here is how you could setup
> your data set and work with the data.
>
>
> # - - - - - - - - - - - -
> # Setup file data set
> # - - - - - - - - - - - -
> library("R.filesets");
> paths <- list.files(path="deleteme", full.names=TRUE);
> dsList <- lapply(paths, FUN=function(path) TabularTextFileSet$byPath(path));
> ds <- Reduce(append, dsList);
>
> # Fullname translator: Los Angeles/data1.csv => Los Angeles,data1.csv
> setFullNamesTranslator(ds, function(name, file, ...) {
>  path <- getPath(file);
>  paste(c(basename(path), name), collapse=",");
> });
>
>
>
> # - - - - - - - - - - - -
> # Examples
> # - - - - - - - - - - - -
> # Get the full names (a fullname consists of
> # a name and comma-separated tags)
>> getFullNames(ds)
> [1] "Los Angeles,data1" "Los Angeles,data2"
> [3] "New York,data1" "New York,data2"
>
> # Get the names
>> getNames(ds)
> [1] "Los Angeles" "Los Angeles"
> [3] "New York"    "New York"
>
>> ds
> TabularTextFileSet:
> Name: Los Angeles
> Tags:
> Full name: Los Angeles
> Number of files: 4
> Names: Los Angeles, Los Angeles, New York, New York [4]
> Path (to the first file): deleteme/Los Angeles
> Total file size: 0.00 MB
> RAM: 0.01MB
>
>
> # Get 2nd file
>> df <- getFile(ds, 2)
>> df
>
> TabularTextFile:
> Name: Los Angeles
> Tags: data2
> Full name: Los Angeles,data2
> Pathname: deleteme/Los Angeles/data2.csv
> File size: 80 bytes
> RAM: 0.01 MB
> Number of data rows: 10
> Columns [2]: '', 'x'
> Number of text lines: 11
>
>
>
> # Read one data file
>> data <- readDataFrame(df)
>> data
>       x
> 1   1  1
> 2   2  2
> 3   3  3
> 4   4  4
> 5   5  5
> 6   6  6
> 7   7  7
> 8   8  8
> 9   9  9
> 10 10 10
>
>
> # Read all data files
>> dataList <- lapply(ds, readDataFrame)
>> dataList
> $`Los Angeles,data1
>       x
> 1   1  1
> 2   2  2
> 3   3  3
> 4   4  4
> 5   5  5
> 6   6  6
> 7   7  7
> 8   8  8
> 9   9  9
> 10 10 10
>
> $`Los Angeles,data2
>       x
> 1   1  1
> 2   2  2
> 3   3  3
> 4   4  4
> 5   5  5
> 6   6  6
> 7   7  7
> 8   8  8
> 9   9  9
> 10 10 10
>
> $`New York,data1`
>       x
> 1   1  1
> 2   2  2
> 3   3  3
> 4   4  4
> 5   5  5
> 6   6  6
> 7   7  7
> 8   8  8
> 9   9  9
> 10 10 10
>
> $`New York,data2`
>       x
> 1   1  1
> 2   2  2
> 3   3  3
> 4   4  4
> 5   5  5
> 6   6  6
> 7   7  7
> 8   8  8
> 9   9  9
> 10 10 10
>
> Most methods in R.filesets are currently poorly documented (no
> time/resources/...), but there is more in there than documented so
> feel free to ask if you have any questions.
>
> Hope this helps
>
> /Henrik
>
> On Fri, Mar 11, 2011 at 8:52 AM, Ista Zahn <izahn_at_psych.rochester.edu> wrote:
>> Hi helpeRs,
>>
>> I have inherited a set of data files that use the file system as a
>> sort of poor man's database, i.e., the data files are nested in
>> directories that indicate which city they come from. For example:
>>
>> dir.create("deleteme")
>> for(i in paste("deleteme", c("New York", "Los Angeles"), sep="/")) {
>>    dir.create(i)
>>    for(j in paste("data", 1:2, ".csv", sep="")) {
>>        write.csv(data.frame(x=1:10), file=paste(i, j, sep="/"))
>>    }
>> }
>>
>> list.files("deleteme", recursive=TRUE)
>>
>> What I want to end up with is
>>
>>  x        city wave
>>  1    New York    1
>>  1 Los Angeles    1
>>  1    New York    2
>>  1 Los Angeles    2
>>
>> I've started writting a simple function to do this, but it seems like
>> a common situation and I'm wondering if there are any packages or
>> functions that might make this easier.
>>
>> Thanks!
>> Ista
>> --
>> Ista Zahn
>> Graduate student
>> University of Rochester
>> Department of Clinical and Social Psychology
>> http://yourpsyche.org
>>
>> ______________________________________________
>> R-help_at_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.
>>
>

-- 
Ista Zahn
Graduate student
University of Rochester
Department of Clinical and Social Psychology
http://yourpsyche.org

______________________________________________
R-help_at_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.
Received on Fri 11 Mar 2011 - 18:20:38 GMT

Archive maintained by Robert King, hosted by the discipline of statistics at the University of Newcastle, Australia.
Archive generated by hypermail 2.2.0, at Fri 11 Mar 2011 - 18:40:21 GMT.

Mailing list information is available at https://stat.ethz.ch/mailman/listinfo/r-help. Please read the posting guide before posting to the list.

list of date sections of archive