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If this is a strictly R programming/implementation question, it should go to SO. If this is a true statistics question, then an R package is just an implementation of the method, and one can often find alternative implementations in Stata, SAS, Matlab, or even (God forbid) Excel. So instead of cv.glm tag in the second type B question, it should have been the methods cross-validation tag. Any of the *lme* questions are actually mixed-model questions, etc.

On a number of occasions, I wrote in the tag excerpt something like "this tag is too generic, please use this for this, and that for that" (see, e.g., multilevel and gmm tags... I think the latter was actually killed, which isn't right, and should still be sitting around as a redirect). May be it is time to do something like this with r: officially declare R to be the default statistical package to ask questions about and give examples in, discourage the use of the r tag, and tell the users to use a tag like learning-r for the second question in A and the first question in B. Some other tags may need to be devised for "valid" R questions that CV rather than SO should handle, e.g., compare-stat-packages for tag combos like http://stats.stackexchange.com/questions/tagged/r+sashttps://stats.stackexchange.com/questions/tagged/r+sas or http://stats.stackexchange.com/questions/tagged/r+statahttps://stats.stackexchange.com/questions/tagged/r+stata.

If this is a strictly R programming/implementation question, it should go to SO. If this is a true statistics question, then an R package is just an implementation of the method, and one can often find alternative implementations in Stata, SAS, Matlab, or even (God forbid) Excel. So instead of cv.glm tag in the second type B question, it should have been the methods cross-validation tag. Any of the *lme* questions are actually mixed-model questions, etc.

On a number of occasions, I wrote in the tag excerpt something like "this tag is too generic, please use this for this, and that for that" (see, e.g., multilevel and gmm tags... I think the latter was actually killed, which isn't right, and should still be sitting around as a redirect). May be it is time to do something like this with r: officially declare R to be the default statistical package to ask questions about and give examples in, discourage the use of the r tag, and tell the users to use a tag like learning-r for the second question in A and the first question in B. Some other tags may need to be devised for "valid" R questions that CV rather than SO should handle, e.g., compare-stat-packages for tag combos like http://stats.stackexchange.com/questions/tagged/r+sas or http://stats.stackexchange.com/questions/tagged/r+stata.

If this is a strictly R programming/implementation question, it should go to SO. If this is a true statistics question, then an R package is just an implementation of the method, and one can often find alternative implementations in Stata, SAS, Matlab, or even (God forbid) Excel. So instead of cv.glm tag in the second type B question, it should have been the methods cross-validation tag. Any of the *lme* questions are actually mixed-model questions, etc.

On a number of occasions, I wrote in the tag excerpt something like "this tag is too generic, please use this for this, and that for that" (see, e.g., multilevel and gmm tags... I think the latter was actually killed, which isn't right, and should still be sitting around as a redirect). May be it is time to do something like this with r: officially declare R to be the default statistical package to ask questions about and give examples in, discourage the use of the r tag, and tell the users to use a tag like learning-r for the second question in A and the first question in B. Some other tags may need to be devised for "valid" R questions that CV rather than SO should handle, e.g., compare-stat-packages for tag combos like https://stats.stackexchange.com/questions/tagged/r+sas or https://stats.stackexchange.com/questions/tagged/r+stata.

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If this is a strictly R programming/implementation question, it should go to SO. If this is a true statistics question, then an R package is just an implementation of the method, and one can often find alternative implementations in Stata, SAS, Matlab, or even (God forbid) Excel. So instead of cv.glm tag in the second type B question, it should have been the methods cross-validation tag. Any of the *lme* questions are actually mixed-model questions, etc.

On a number of occasions, I wrote in the tag excerpt something like "this tag is too generic, please use this for this, and that for that" (see, e.g., multilevel and gmm tags... I think the latter was actually killed, which isn't right, and should still be sitting around as a redirect). May be it is time to do something like this with r: officially declare R to be the default statistical package to ask questions about and give examples in, discourage the use of the r tag, and tell the users to use a tag like learning-r for the second question in A and the first question in B. Some other tags may need to be devised for "valid" R questions that CV rather than SO should handle, e.g., compare-stat-packages for tag combos like http://stats.stackexchange.com/questions/tagged/r+sas or http://stats.stackexchange.com/questions/tagged/r+stata.