... and it's exactly with.default's code !
Cheers,
Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Thu, May 5, 2016 at 7:38 PM, Spencer Graves
wrote:
>
Hi, David: That works. Thanks very much. Spencer Graves
On 5/5/2016 7:43 PM, David Winsemius wrote:
On May 5, 2016, at 5:12 PM, Spencer Graves
wrote:
I want a function to evaluate one argument
in the environment of a data.frame supplied
as another argument. "attach" works for
this, but
> On May 5, 2016, at 5:12 PM, Spencer Graves
> wrote:
>
> I want a function to evaluate one argument
> in the environment of a data.frame supplied
> as another argument. "attach" works for
> this, but "with" does not. Is there a way
> to make "with" work? I'd rather not attach
> the data.fra
I want a function to evaluate one argument
in the environment of a data.frame supplied
as another argument. "attach" works for
this, but "with" does not. Is there a way
to make "with" work? I'd rather not attach
the data.frame.
With the following two functions "eval.w.attach"
works but "eval.w
You can use get(), but a more R-like way is to make a list of these
matrices instead of 600 separate objects.
thismat <- get(paste(E,x,y,z,sep="_"))
Sarah
On Thu, May 5, 2016 at 12:06 PM, Catarina Silva
wrote:
> Hi,
>
> I'm organizing one data base in array's (matrix of positions and for each
>
Hi,
I'm organizing one data base in array's (matrix of positions and for each
position I have a vector with 5 variables). And I have approximately 600
array's.
To construct these array's I've used a for cicle and after construct the
array I named it like: E_1_1_1.1, and I've done the same for the
OK, I think that I understand better. In your original post it
appeared that you already had used the multcomp package. But now it
looks like you have heard that multcomp is the tool to use, but you
don't know how to use it, is that correct?
p.s. It is best to keep these discussions on the list
Thank you Jim, John and Jeff.
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and provide commented, minimal, se
Hi there,in case one has found a nice and easy reproducible example of a
Morans'I example where neighborhoods are depicted and their calculated
correlations are visible as well.Point is to make some examples that I can
share with students that want to understand fast what is the notion about.
Re
Super,
Are you just interested in having the final intervals computed for
you? Or are you trying to compute them yourself so that you can learn
more about what they do? Or something else?
If the first is the case then you can just use the multicomp package
as you have mentioned. David was assu
Thanks very much for your help David. I'll contact Ben Goodrich.
-Original Message-
From: David L Carlson [mailto:dcarl...@tamu.edu]
Sent: 04 May 2016 22:24
To: Elizabeth Hensor; 'r-help@r-project.org'
Subject: RE: Changing transformations in mi package
Thank you for providing a working
Tks for you attention, i want to know Bonferroni, Tukey's, Sheffe 95%-condence
intervals for coefficients in linear regression, for example,
fit <- lm(y ~ x1 + x2)
confint(fit) would give b0,b1,b2 95%CIs, but i want to get Bonferroni, Tukey's,
Sheffe 95%-condence intervals for these coefficient
Dear all,
I have a problem, rather serious and I am not being able to resolve it.
I started working with R a few time ago :(
I’m running a bootstrap analyses for 2 different methods and It was expected
that I get the same coefficients and standard errors for both, consequently the
same cover
In an email exchange with Hans Werner Borchers, two optimization
problems were mentioned where the optimization parameters define
positions that can be graphed. One is a chain hanging problem (catenary)
and the other the largest area polygon where the vertices cannot be more
than one unit apart. Th
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