[R] [newbie] stack operations, or functions with side effects (or both)

Patrick Burns pburns at pburns.seanet.com
Thu Jan 5 09:39:19 CET 2012


There is a crude implementation of
stacks in 'S Poetry' (available on
www.burns-stat.com).  I haven't looked
at it, but I'd guess that code would
work in R as well.

On 04/01/2012 21:22, Tom Roche wrote:
>
> summary: Specifically, how does one do stack/FIFO operations in R?
> Generally, how does one code functions with side effects in R?
>
> details:
>
> I have been a coder for years, mostly using C-like semantics (e.g.,
> Java). I am now trying to become a scientist, and to use R, but I don't
> yet have the sense of "good R" and R idiom (i.e., expressions that are
> to R what (e.g.) the Schwartzian transform is to Perl).
>
> I have a data-assimilation problem for which I see a solution that
> wants a stack--or, really, just a pop(...) such that
>
> * s<- c(1:5)
> * print(s)
> [1] 1 2 3 4 5
> * pop(s)
> [1] 1
> * print(s)
> [1] 2 3 4 5
>
> but in fact I get
>
>> pop(s)
> Error: could not find function "pop"
>
> and Rseek'ing finds me nothing. When I try to write pop(...) I get
>
> pop1<- function(vector_arg) {
> +   length(vector_arg) ->  lv
> +   vector_arg[1] ->  ret
> +   vector_arg<<- vector_arg[2:lv]
> +   ret
> + }
>>
>> pop1(s)
> [1] 1
>> print(s)
> [1] 1 2 3 4 5
>
> i.e., no side effect on the argument
>
> pop2<- function(vector_arg) {
> +   length(vector_arg) ->  lv
> +   vector_arg[1] ->  ret
> +   assign("vector_arg", vector_arg[2:lv])
> +   return(ret)
> + }
>>
>> pop2(s)
> [1] 1
>> print(s)
> [1] 1 2 3 4 5
>
> ditto :-( What am I missing?
>
> * Is there already a stack API for R (which I would expect)? If so, where?
>
> * How to cause the desired side effect to the argument in the code above?
>
> TIA, Tom Roche<Tom_Roche at pobox.com>
>
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> and provide commented, minimal, self-contained, reproducible code.
>

-- 
Patrick Burns
pburns at pburns.seanet.com
twitter: @portfolioprobe
http://www.portfolioprobe.com/blog
http://www.burns-stat.com
(home of 'Some hints for the R beginner'
and 'The R Inferno')



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