[Rd] split() is slow on data.frame (PR#14123)

Please see the following code for the runtime comparison between split() and mysplit.data.frame() (they do the same thing semantically). mysplit.data.frame() is a fix of split() in term of performance. Could somebody include this fix (with possible checking for corner cases) in future version of R

[Rd] Error read.table()'s help page and put the distinction between (PR#14109)

The word 'be' is missing after 'will' in the following sentence from ?read.table. "Note that in either case the columns will logical unless =91colClasses=92 was supplied." Another suggestion: I think that it is make more sense to put at the begining the description of the difference between the

[Rd] documentation of intersect() on string vector and num vector and on duplicated elements (PR#14107)

Full_Name: Version: 2.10.0 OS: Submission from: (NULL) (128.249.106.234) The document on intersect()'s argument are spread into Arguments and Details sections (see ?intersect). The following description is on the arguments (but from Details section). So I think that it makes more sense to bri