Thanks for your commands, Ivan and Michael! However, I am still not
producing the right codes. Would you please help me on this? I've written
the following codes. Please comment. Thank you very much.
Task: Reading data1.dat to data1000.dat (with missing files) into R.
Missing files can be omitted in the list.
###FUNCTION TO READ FILES
little_helpful <- function(n) {
file_name <- paste0("C:/.../data", n, ".dat")
read.table(file_name)
}
###RETURN AN OBJECT WHICH CHECKS FOR THE EXISTENCE OF FILES
check <- function(n) {
a <- ifelse(file.exists(paste0("C:/.../data", n, ".dat")), 1, 0)
a
}
###Combining the functions
IMPORT <- function(n) {
L <- check(1:n)
for (i in 1:n) {
if (L[i] == 1)
list_of_datasets <- lapply(i, little_helpful) else list_of_datasets
<- 0
}
list_of_datasets
}
Thanks for all comments.
Best Regards,
Ray
On Fri, Jan 25, 2013 at 5:48 PM, Ivan Calandra <ivan.calan...@u-bourgogne.fr
> wrote:
> Hi,
>
> Not sure this is what you need, but what about list.files()?
> It can get you all the files from a given folder, and you could then work
> this list with regular expressions for example.
>
> HTH,
> Ivan
>
> --
> Ivan CALANDRA
> Université de Bourgogne
> UMR CNRS/uB 6282 Biogéosciences
> 6 Boulevard Gabriel
> 21000 Dijon, FRANCE
> +33(0)3.80.39.63.06
> ivan.calan...@u-bourgogne.fr
> http://biogeosciences.u-**bourgogne.fr/calandra<http://biogeosciences.u-bourgogne.fr/calandra>
>
> Le 25/01/13 10:00, R. Michael Weylandt a écrit :
>
>> On Fri, Jan 25, 2013 at 6:11 AM, Ray Cheung <ray1...@gmail.com> wrote:
>>
>>> Dear Michael,
>>>
>>> Thanks for your codes. However, lapply does not work in my case since
>>> I've
>>> some files missing in the data (say, the file data101.dat). Do you have
>>> any
>>> suggestions on this?? Thank you very much.
>>>
>>> You could simply add a test using file.exists() but I'm not sure what
>> you want to do with the M matrix then -- omit the slice (so the others
>> are all shifted down one) or fill it entirely with NA's.
>>
>> Michael
>>
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>>
>>
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>
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