GREGOR Brian J wrote:
Monica, here are some other Pros to consider about R:
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2) R facilitates documentation and replication.
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When I finally made the effort to learn how to make R packages, I experienced a substantial increase in my productivity. Before I start coding a new functions, I now write a help page including test cases in the "examples". Each function is part of a package. After the code is complete, I "check" (and "build" and "install") the package. If a change to function "A" breaks something in function"B", this usually exposes it fairly quickly. On average, I get working code much faster than I did previously. Moreover, when I'm done, I have (almost for free) a package that is reasonably well documented that I can easily share with others. This may not belong in a discussion to a group of people who may not develop new statistical procedures, but I believe it can help almost anyone who develops a procedure that will likely be used more than once or twice. Spencer
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.
______________________________________________ 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.
