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rawr expedites the transfer of R code from web to interpreter which is great for beginners and more experienced programmers alike.
A list of compatible urls, organised by topic, as well as a way of browsing/searching these urls, would be an excellent addition.
The urls would be 'best in class' tutorials and demonstrations, thus improving the speed with which R users can learn a new topic, and relieve any complications arising from those sources being in unstandardised formats (i.e. rawr takes care of differences across websites).
If required, checksums could be used to ensure the extracted code is unaltered from the time the url was added to the list. I have not found a way to validate externally read files (e.g. S3 or Cloud Storage) yet, but that could also be useful.
The text was updated successfully, but these errors were encountered:
rawr
expedites the transfer of R code from web to interpreter which is great for beginners and more experienced programmers alike.A list of compatible urls, organised by topic, as well as a way of browsing/searching these urls, would be an excellent addition.
The urls would be 'best in class' tutorials and demonstrations, thus improving the speed with which R users can learn a new topic, and relieve any complications arising from those sources being in unstandardised formats (i.e.
rawr
takes care of differences across websites).If required, checksums could be used to ensure the extracted code is unaltered from the time the url was added to the list. I have not found a way to validate externally read files (e.g. S3 or Cloud Storage) yet, but that could also be useful.
The text was updated successfully, but these errors were encountered: