Defending the status quo misses the point that R *could* handle ordinal data
with a fixed set of levels but actually *does not*. Although it would be
useful. Even if this does not imply to handle any possible straw-man
situations. Having data-types for nominal, ordinal, and interval-scale data is
- in theory - one of the major advantages of S over SAS. But *having* without
*handling* means: only in theory, not in practice. Has r-devel really lost the
momentum for continuous improvement, to converge R to an optimum? I struggle to
recognize the project I loved in 2000.
Gesendet: Freitag, 16. Juni 2017 um 18:31 Uhr
Von: "peter dalgaard" <pda...@gmail.com>
An: "Robert McGehee" <rmcge...@walleyetrading.net>
Cc: "Jens Oehlschlägel" <jens.oehlschlae...@truecluster.com>,
"r-devel@r-project.org" <r-devel@r-project.org>
Betreff: Re: [Rd] 'ordered' destroyed to 'factor'
> On 16 Jun 2017, at 15:59 , Robert McGehee <rmcge...@walleyetrading.net> wrote:
>
> For instance, what would you expect to get from unlist() if each element of
> the list had different levels, or were both ordered, but in a different way,
> or if some elements of the list were factors and others were ordered factors?
>> unlist(list(ordered(c("a","b")), ordered(c("b","a"))))
> [1] ?
Those actually have the same levels in the same order: a < b
Possibly, this brings the point home more clearly
unlist(list(ordered(c("a","c")), ordered(c("b","d"))))
(Notice that alphabetical order is largely irrelevant, so all of these level
orderings are equally possible:
a < c < b < d
a < b < c < d
a < b < d < c
b < a < c < d
b < a < d < c
b < d < a < c
).
-pd
--
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone: (+45)38153501
Office: A 4.23
Email: pd....@cbs.dk Priv: pda...@gmail.com
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