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After loading all these files to R, I want to extract only 0, 100th, 200th, 300th,....9000th rows and save them in another directory with the same file name in 500 separated files. I think that you would improve your code using the read.table() function to import free formated (delimited) data files instead of the rad.csv(), which was written specifically for comma delimited files. You could try this way: thanks, I fixed the error :)! I want to extract a piece of text in each file and create new ones in a new category with the extracted text. Loop in R loading files With R, loop over data frames, and assign appropriate names to objects created in the loop How to read.table() multiple files into a single table in R?

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So here’s a list of links where you can send free SMSs to cell phones from the different Canadian wireless providers: (Note: the recipient might get charged, of course, depending on their specific plan) E-mail to text There are some e-mail to text services, but the recipient usually has to have signed up and paid for this service, unlike the web forms above that are free: [10digitnumber]@ca (Bell and Solo) [10digitnumber]@pcs.[10digitnumber]@ca [10digitnumber]@msg.[10digitnumber]@(Virgin Mobile) [10digitnumber]@(PC Mobile) [10digitnumber]@msg.[10digitnumber]@sms.and [10digitnumber]@pcs.[10digitnumber]@net (MTS Allstream Inc./ Manitoba Telecom Services Inc.) [10digitnumber]@txt.(you have to active it first) Note that, as reported in the comments, some providers (such as Fido) are forcing the recipient to pay an extra monthly fee in order to receive e-mail to text messages.

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