Hm. We also do not know what will be done with those files. Save/load is an option but in that case nothing prevents you to use original file and read.* function interactively.

I understood that OP wanted to load all files as 75 objects into one R session environment. In that case having one object is preferable if memory alows.

I did not find if memory limit for list object is different from memory limit of a vector. So if any list has 2^31 - 1 limit and also individual parts of this list has separate limit or if this is the overall limit for any list including its parts.

Petr

From: Lisa S [mailto:lisha.sheng@gmail.com]
Sent: Thursday, March 20, 2014 10:24 AM
To: PIKAL Petr
Cc: ajaykumar; r-help@r-project.org
Subject: Re: [R] Import multiple files into R

But I don't think a list can contain that much data - we dont know how big each txt file is.

So I'd like to do:
city.set <- c('Asheville','Charlotte')
month.set <- c('Dec', 'Jan', 'Feb')

comb.set <- expand.grid(city.set,month.set)
comb.set$filename = paste(comb.set[,1],comb.set[,2],sep = '_')

for i in 1:nrow(comb.set){
    db <- read.table(comb.set$filename[i] + '.txt',header = TRUE)
    save(db,filename + '.dat')
    rm(db)
}

So that each file is saved in a .dat file as a data frame, and she only need to load and remove whenever she uses the file.

On Thu, Mar 20, 2014 at 5:14 PM, PIKAL Petr <petr.pikal@precheza.cz<mailto:petr.pikal@precheza.cz>> wrote:
Hi

Best way is to put those files in one directory and start R from this directory or set this directory as working one.

?set.wd
Then you can use list.files() to get file names.
?list.files

myfiles<-list.files()

Than strip txt. E.g. by

filenames<-strsplit(list.files(), "\\.<file:///\\.>"))

After that you can use for cycle to read all files, however I would prefer list structure.

files<-vector(mode="list", length(myfiles))

for (i in 1:length(myfiles)) {
files[[i]]<-read.table(myfiles[i])
names(files)[[i]]<-filenames[[i]][1]
}

Instead of 75 objects you will get one list object and you can easily use interactively or programmatically its parts.

Regards
Petr


> -----Original Message-----
> From: r-help-bounces@r-project.org<mailto:r-help-bounces@r-project.org> [mailto:r-help-bounces@r-<mailto:r-help-bounces@r->
> project.org<http://project.org>] On Behalf Of ajaykumar
> Sent: Thursday, March 20, 2014 6:15 AM
> To: r-help@r-project.org<mailto:r-help@r-project.org>
> Subject: [R] Import multiple files into R
>
> Hi I want to import around 75 files. Each file has a name and a time
> and is comma separated.
> For example some of my file names are
> Asheville_Dec.txt
> Asheville_Jan.txt
> Asheville_Feb.txt
> Charlotte_Dec.txt
> Chapelhill_Jan.txt
>
> The time months are only Dec Jan and Feb. The locations are different.
> I have data for these 3 months at 25 cities which I want to import in R
> I don't want to use read.table 75 times and keep changing names.
>
> Is there any way I can keep all the city names in an object and the
> three months in another object and then use a loop over read.table of
> location_time.txt I would also like to view them as 75 different data
> sets in R So the file Asheville_Dec must be in a dataset called
> Asheville_Dec in R
>
> Can this be done.
> Please help
>
>
>
> --
> View this message in context: http://r.789695.n4.nabble.com/Import-
> multiple-files-into-R-tp4687178.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> R-help@r-project.org<mailto: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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V případě, že je tento e-mail součástí obchodního jednání:
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- a obsahuje-li nabídku, je adresát oprávněn nabídku bezodkladně přijmout; Odesílatel tohoto e-mailu (nabídky) vylučuje přijetí nabídky ze strany příjemce s dodatkem či odchylkou.
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