Displaying 5 results from an estimated 5 matches for "sillili".
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sillily
2012 Oct 10
0
updating puppetlabs-firewall forge module to line up with whats in the github repo?
Hi there!
Is there a timeline on when the puppetlabs-firewall forge module will be updated (not necessarily to 1.0) ? the github version has the firewallchain type (as well as other nifty) that the forge version seems to be lacking, but it''s not clear from my perusing that the two are different. They both appear to be the same version superficially*…. The github version points to the
2019 Apr 18
3
Bug in the "reformulate" function in stats package
Hi,
Sorry for writing this late, I was very busy. I started this discussion
here. I wish I could write to bugs.r-project.org, but I don't have an
account and I will write here instead.
Meanwhile, I solved my problem with a simpler fix (please see attached
file)/.
/
This requires that term labels are not "ticked". I think this is better,
since it is easier to have column names
2019 Apr 04
2
Bug in the "reformulate" function in stats package
Proposed patch (I think .txt files work OK as attachments to the list?)
On 2019-04-04 2:21 a.m., Martin Maechler wrote:
>>>>>> Ben Bolker
>>>>>> on Fri, 29 Mar 2019 12:34:50 -0400 writes:
>
> > I suspect that the issue is addressed (obliquely) in the examples,
> > which shows that variables with spaces in them (or otherwise
>
2019 Apr 05
0
Bug in the "reformulate" function in stats package
>>>>> Ben Bolker
>>>>> on Thu, 4 Apr 2019 12:46:37 -0400 writes:
> Proposed patch
Thank you Ben!
[the rest is technical nit-picking .. but hopefully interesting
to the smart R-devel reader base:]
There was a very subtle thinko in your patch which is not easily
diagnosed from R's parse_Rd():
Error in
2019 Apr 18
0
Bug in the "reformulate" function in stats package
Your file didn't make it through the mailing list (which is quite
restrictive about which types/extensions it will take).
I appreciate your enthusiasm and persistence for this issue, but I
suspect you may have trouble convincing R-core to adopt your changes --
they are "better", "easier", "more intuitive" for you ... but how sure
are you they are completely