The warn should be in cut() => .bincode().
It should be generated whenever a real value (excludes NA or NAN or +/-
Inf) is not included in any of the bins.
If the user writes a script and doesn't want any warnings: he can select
warn = FALSE. But otherwise it would be very helpful to catch
immediately the error (and not after a number of steps or miss the error
altogether).
Leonard
On 9/18/2021 1:28 AM, Jeff Newmiller wrote:
Re your objection that "the user has to suspect that some values were not
included" applies equally to your proposed warn option. There are a lot of ways to
introduce NAs... in real projects all analysts should be suspecting this problem.
On September 17, 2021 3:01:35 PM PDT, Leonard Mada via R-help
<r-help@r-project.org> wrote:
Thank you Andrew.
Is there any reason not to make: include.lowest = TRUE the default?
Regarding the NA:
The user still has to suspect that some values were not included and run
that test.
Leonard
On 9/18/2021 12:53 AM, Andrew Simmons wrote:
Regarding your first point, argument 'include.lowest' already handles
this specific case, see ?.bincode
Your second point, maybe it could be helpful, but since both
'cut.default' and '.bincode' return NA if a value isn't within a bin,
you could make something like this on your own.
Might be worth pitching to R-bugs on the wishlist.
On Fri, Sep 17, 2021, 17:45 Leonard Mada via R-help
<r-help@r-project.org <mailto:r-help@r-project.org>> wrote:
Hello List members,
the following improvements would be useful for function cut (and
.bincode):
1.) Argument: Include extremes
extremes = TRUE
if(right == FALSE) {
# include also right for last interval;
} else {
# include also left for first interval;
}
2.) Argument: warn = TRUE
Warn if any values are not included in the intervals.
Motivation:
- reduce risk of errors when using function cut();
Sincerely,
Leonard
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