[Rd] [R] how to remove the 'promise' attribute of an R object (.Random.seed)?
xie at yihui.name
Wed May 23 17:41:04 CEST 2012
OK, I switched to r-devel.
I'm caching the random seed by saving and lazy loading .Random.seed,
so I think it should always be valid (except that it becomes a promise
which is essentially an integer vector).
The complete process is as follows:
set.seed(1) # R generates .Random.seed now
tools:::makeLazyLoadDB(globalenv(), 'random_db', variables = '.Random.seed')
# Error in rnorm(1) :
# .Random.seed is not an integer vector but of type 'promise'
As I explained earlier, the purpose is for caching when an Sweave
document involves with RNG; instead of running set.seed() again, I
just lazy-load the seed. I'm not sure if this is a convincing enough
application. You might frown on the use of :::, though.
Yihui Xie <xieyihui at gmail.com>
Phone: 515-294-2465 Web: http://yihui.name
Department of Statistics, Iowa State University
2215 Snedecor Hall, Ames, IA
On Wed, May 23, 2012 at 1:03 AM, Prof Brian Ripley
<ripley at stats.ox.ac.uk> wrote:
> On 22/05/2012 22:26, Yihui Xie wrote:
>> I did not use delayedAssign() directly; I was using lazyLoad() and
>> .Random.seed was saved in a database. The real story out there is the
>> caching of my knitr package -- lazyLoad() was used to speed up the
>> compilation of Sweave documents.
>> I know lazyLoad() is supposed to be used only by R itself, but it is
>> very helpful for the purpose of caching as well.
>> Or is it possible to change the code in src/main/RNG.c so that the
>> seed is force()d if it is a promise?
> It is possible, but we need to be convinced that it is desirable. The main
> point is that you should not be setting .Random.seed (see its help page),
> and all the ways R itself sets it create a object of the correct internal
> type. The test is there because of people who failed to follow the advice
> and set it incorrectly (usually as a double vector).
> If you want to make a case for a change, R-devel would be the appropriate
> list and you would need to explain in detail why you thinking setting
> .Random.seed is appropriate and exactly how you do it.
>> Anyway, I can use save() and load() in this case instead of lazyLoad()
>> if the above is not going to happen. Thanks a lot!
>> Yihui Xie<xieyihui at gmail.com>
>> Phone: 515-294-2465 Web: http://yihui.name
>> Department of Statistics, Iowa State University
>> 2215 Snedecor Hall, Ames, IA
>> On Tue, May 22, 2012 at 12:49 PM,<luke-tierney at uiowa.edu> wrote:
>>> On Tue, 22 May 2012, Yihui Xie wrote:
>>>> The problem arises when I lazyLoad() the .Random.seed from a
>>>> previously saved database. To simplify the process of reproducing the
>>>> problem, see the example below:
>>>> ## this assignment may not really make sense, but illustrates the
>>>> delayedAssign('.Random.seed', 1L)
>>>> #  "integer"
>>>> # Error in rnorm(1) :
>>>> # .Random.seed is not an integer vector but of type 'promise'
>>>> #  "integer"
>>>> So there must be an "attribute" "promise" somewhere attached to
>>>> .Random.seed, and I cannot find it. The R function typeof() does not
>>>> reveal it, but the TYPEOF() function in src/main/RNG.c says it is a
>>>> My question is, how to make R use the real value of .Random.seed
>>>> instead of complaining about the promise? Thanks!
>>> Siple answer: Don't creat the promise in the first place, i.e. don't
>>> use delayedAssign.
>>> What is the real context where this arises? Knowing that may help us
>>> decide whether the internals should address this possibility.
>>>> Yihui Xie<xieyihui at gmail.com>
>>>> Phone: 515-294-2465 Web: http://yihui.name
>>>> Department of Statistics, Iowa State University
>>>> 2215 Snedecor Hall, Ames, IA
>>>> R-help at r-project.org mailing list
>>>> PLEASE do read the posting guide
>>>> and provide commented, minimal, self-contained, reproducible code.
>>> Luke Tierney
>>> Chair, Statistics and Actuarial Science
>>> Ralph E. Wareham Professor of Mathematical Sciences
>>> University of Iowa Phone: 319-335-3386
>>> Department of Statistics and Fax: 319-335-3017
>>> Actuarial Science
>>> 241 Schaeffer Hall email: luke-tierney at uiowa.edu
>>> Iowa City, IA 52242 WWW: http://www.stat.uiowa.edu
>> R-help at r-project.org mailing list
>> PLEASE do read the posting guide
>> and provide commented, minimal, self-contained, reproducible code.
> Brian D. Ripley, ripley at stats.ox.ac.uk
> Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
> University of Oxford, Tel: +44 1865 272861 (self)
> 1 South Parks Road, +44 1865 272866 (PA)
> Oxford OX1 3TG, UK Fax: +44 1865 272595
More information about the R-devel