Thanks to all who answered!

I am ultimately interested in building a Markov chain Monte Carlo simulation 
and I suppose I could simply make it explicit, but I suppose the real way would 
be to figure out the proper way to use ranking and tacitness.

That said can anyone point me to some good J machine learning and simulation 
resources?



Sent from my iPhone

> On Apr 2, 2017, at 10:15 PM, Ric Sherlock <[email protected]> wrote:
> 
> I think the key issues here is (as Henry suggests) that control words are
> only meaningful inside an explicit definition. The following defines an
> anonymous explicit verb to contain your control structure. It should work...
> 
> 3 :0 ''
> 
> k=. 0
> 
> while. k<: 1e2 do. k=. k+1 end.
> 
> )
> 
> 
> 
>> On Mon, Apr 3, 2017 at 1:22 PM, Henry Rich <[email protected]> wrote:
>> 
>> 'spelling error' is what you get when you write a meaningless word.  a
>> control word outside an explicit definition is considered meaningless.
>> Yeah, maybe a different error message would be better.  But first look at
>> 
>> http://code.jsoftware.com/wiki/Vocabulary/ErrorMessages
>> 
>> Henry Rich
>> 
>> 
>>> On 4/2/2017 9:10 PM, [email protected] wrote:
>>> 
>>>    k=.0
>>>    while. k<: 1e2 do.
>>> |spelling error
>>> |   while. k<: 1e2 do.
>>> |   ^
>>>    while. k<: 1e2 do. k=. k+1 end.
>>> |spelling error
>>> |   while. k<: 1e2 do. k=. k+1 end.
>>> |   ^
>>> 
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