search for: desiderata

Displaying 5 results from an estimated 5 matches for "desiderata".

2000 Nov 01
1
Re: desiderata for data manipulation
> From: rossini@blindglobe.net (A.J. Rossini) > Date: 01 Nov 2000 07:47:21 -0800 [...] > Thanks for the pointer to stack/unstack -- now, having been reminded, > I think I'd seen these float through on the list (still doesn't solve > the missing modeling routines (parametric GLMMs, some of the > econometrics stuff -- does R _easily_ do 3SLS?), but they'll appear >
2010 Jan 18
2
An argument processing puzzle.
...d so forth). With the paste construction I seem to have to do something like putting in an ``eval'', as in eval(substitute(a)). But then the whole thing falls over when a is a name, i.e. mv(a,b) doesn't work any more. Is there an incantation that will allow me to accomplish all of my desiderata? Thanks. cheers, Rolf Turner ###################################################################### Attention:\ This e-mail message is privileged and confid...{{dropped:9}}
2007 Aug 05
1
Understanding of Johansen test.
Dear all, I am struggling to understand the johansen test procedure in the context of co-integration in time series. Yes I understand that this forum is not directly statistics related but still I am posting here hoping that I would get som help. The error correction representation of a VAR[p] model can be written as: Delta y[t] = A[0]*y[t-1] + A[1]*Delta y[t-1] +..............
2020 Mar 10
1
Revisiting minimum OCaml version
Previously discussed: https://www.redhat.com/archives/libguestfs/2017-September/msg00203.html Currently libguestfs and virt-v2v require OCaml >= 4.01. (That's perhaps theoretical, as I don't think anyone is really compiling them with such an old compiler). This causes a bunch of trouble. To my mind the major things are: - Having to have the "Bytes" compatibility module
2016 Oct 03
3
On implementing zero-overhead code reuse
On Mon, Oct 3, 2016 at 10:18 AM, <frederik at ofb.net> wrote: > Hi Kynn, > > Thanks for expanding. > > I wrote a function like yours when I first started using R. It's > basically the same up to your "new.env()" line, I don't do anything > with environmentns. I just called my function "mysource" and it's > essentially a "source