Romain Francois wrote:
>
> Hi,
>
> Something like this perhaps:
>
> files <- dir( pattern = "\\.csv$" )
> for( x in files){
> assign( sub( "\\.csv$", "", x ) , read.csv(x), envir = .GlobalEnv )
> }
or maybe
csvs = Map(read.csv, dir(pattern='\\.csv$'))
possibly with a correction of list item names
names(csvs) = sub('\\.csv$', '', names(csvs))
which is optional, since the content of foo.csv can be accessed as
csvs$foo (or as csvs[['foo', exact=FALSE]]) instead of csvs$foo.cvs even
without such a correction.
vQ
>
> Romain
>
> Mark Na wrote:
>> Hi R-helpers,
>>
>> I would like to read into R all the .csv files that are in my working
>> directory, without having to use a read.csv statement for each file.
>>
>> Each .csv would be read into a separate dataframe which would acquire
>> the filename of the .csv.
>>
>> As an example:
>>
>> Mark<-read.csv("Mark.csv")
>>
>> ...but the code (or command) would do this automatically for every
>> .csv in the working directory without my specifying each file.
>>
>> I'd appreciate any help or ideas you might have.
>>
>> Thanks!
>>
>> Mark Na
>>
>
>
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