Hello,
Sorry for the HTML, I hadn't realised that my cellphone was not
sending in plain text.
Rui Barradas
Citando ruipbarradas :
Hello,Maybe I'm not understanding but to compute the sample variance
you need at least 2 data points? The ML estimator can be computed
with just 1 but
Very interesting I will have to take a look. Thank you very much for
the reference to these resources! They will be of great help to me.
Many thanks,
Spencer
On Wed, Jul 3, 2019 at 8:41 PM Jeff Newmiller
wrote:
> An R file is nothing more than a text file with an R extension instead of
> a
An R file is nothing more than a text file with an R extension instead of a TXT
extension. Use any text editor you like to rearrange your commands in the order
you want and remove false starts (beware of Notepad... it seems to have a
tendency to tack on a .txt extension in addition to the .R ext
I do have a script available, though it is not in a traditional R script
file/document, but an .Rhistory file as well as on Notepad. Is there a way
I can convert one or both of these file types into an R script file so that
I can run the commands directly to my console?
Best,
Spencer
On Wed, Jul
Saving/loading does not affect the status of packages being loaded or not,
which may affect how useful those objects are. This is why I depend on having
a script that can reproduce my results at all times, and only use the load/save
feature to minimize the number of times I have to re-do long
Good evening,
I tried loading an R global environment that I had saved so to resume my
work on the datasets I manipulated during that particular R session. After
loading the file directly, the same items that were contained in the
original working environment from the previous session appeared t
Thanks to both of you! I will try this and if it does not work I will reach out
to the multilevel help page that Marc suggested.
Heather Hensman Kettrey, PhD
Assistant Professor of Sociology
Clemson University
From: Wolfgang Viechtbauer
Sent: Wednesday, July
Hello,Maybe I'm not understanding but to compute the sample variance you need
at least 2 data points? The ML estimator can be computed with just 1 but it
will be zero.Hope this helps,Rui Barradas Enviado a partir do meu smartphone
Samsung Galaxy. Mensagem original De: Thomas Subi
No need to install metafor for lme4.
Best,
Wolfgang
On July 3, 2019 5:19:13 PM GMT+02:00, Marc Schwartz
wrote:
>Hi Heather,
>
>I would defer to the mixed models experts, but I think that the basic
>approach using nested random effects seems to make sense.
>
>I don’t know that there is a depen
On 03/07/2019 12:42 p.m., Jeff Newmiller wrote:
Dummy columns do have some drawbacks though, if you find yourself working with
large data frames. The dummy columns waste memory and time as compared to
either reorganizing columns after the `within` or using separate sequential
`with` expression
Dummy columns do have some drawbacks though, if you find yourself working with
large data frames. The dummy columns waste memory and time as compared to
either reorganizing columns after the `within` or using separate sequential
`with` expressions as I previously suggested. I think mutate avoids
Nice suggestion, Richard.
On Wed, Jul 3, 2019 at 4:28 PM Richard O'Keefe wrote:
> Why not set all the new columns to dummy values to get the order you
> want and then set them to their final values in the order that works
> for that?
>
>
> On Thu, 4 Jul 2019 at 00:12, Kevin Thorpe
> wrote:
>
>
Hi Heather,
I would defer to the mixed models experts, but I think that the basic approach
using nested random effects seems to make sense.
I don’t know that there is a dependency of glmer()/lme4 on metafor for this
specific use case, but would defer to Wolfgang on that point.
Regards,
Marc
Hi Marc and Wolfgang,
Thanks for your help. Is the following interpretation of your exchange correct?
I need to use the glmer() function in the lme4 package (first installing the
devel version of metaphor). I can specify both site and matched pairing as
random effects using (1 | site / id).
Why not set all the new columns to dummy values to get the order you
want and then set them to their final values in the order that works
for that?
On Thu, 4 Jul 2019 at 00:12, Kevin Thorpe wrote:
>
> > On Jul 3, 2019, at 3:15 AM, Sebastien Bihorel <
> sebastien.biho...@cognigencorp.com> wrote:
Ouch, that was a brain fart on my part!
But indeed, since we can fit a 'single-site model' using glmer() (as shown), we
should be able to just add 'site' as another random effect with (1 | site / id).
Best,
Wolfgang
On July 3, 2019 1:26:54 PM GMT+02:00, Marc Schwartz
wrote:
>Wolfgang,
>
>Perh
I have found using `with` to create one column at a time to be more clear than
using `within` when sticking with base R, though I don't see why `within`
couldn't be repaired to behave more like `mutate`.
On July 3, 2019 5:24:14 AM PDT, Sebastien Bihorel
wrote:
>Hi Kevin,
>
>I was hoping to sta
Hi Eric,
I was hoping to avoid post-processing the result of the within call.
Sebastien
From: "Eric Berger"
To: "Sebastien Bihorel"
Cc: "R mailing list"
Sent: Wednesday, July 3, 2019 8:13:22 AM
Subject: Re: [R] Control the variable order after multiple declarations using
within
Hi
Hi Kevin,
I was hoping to stay within base R functionality.
Thanks
- Original Message -
From: "Kevin Thorpe"
To: "Sebastien Bihorel"
Cc: "R Help Mailing List"
Sent: Wednesday, July 3, 2019 8:11:51 AM
Subject: Re: [R] Control the variable order after multiple declarations using
within
Hi Sebastien,
Your 'within' command returns a dataframe. So without changing the call to
within you have some options such as:
df2 <- within(df, {b<-a*2; c<-b*3})
df2[c("a","b","c")]
OR
within(df, {b<-a*2; c<-b*3})[c("a","b","c")]
OR
within(df, {b<-a*2; c<-b*3})[c(1,3,2)]
HTH,
Eric
On We
> On Jul 3, 2019, at 3:15 AM, Sebastien Bihorel
> wrote:
>
> Hi,
>
> The within function can be used to modify data.frames (among other objects).
> One can even provide multiple expressions to modify the data.frame by more
> than one expression. However, when new variables are created, the
Wolfgang,
Perhaps I am missing something here, but with clogit(), or Heather's initial
attempt at using clogistic(), as both have 'strata' arguments, wouldn't the
'strata' argument need to be able to accept a nested structure, along the lines
of strata(id / site)?
On the page that you link to
Dear Heather,
You can do this with clogit() from the 'survival' package, using strata(). See:
http://www.metafor-project.org/doku.php/tips:clogit_paired_binary_data
You can also use lme4::glmer(), glmmML::glmmML(), or metafor::rma.glmm() for
that. [1]
[1] Rerunning this example, I noticed a sl
Hi,
The within function can be used to modify data.frames (among other objects).
One can even provide multiple expressions to modify the data.frame by more than
one expression. However, when new variables are created, they seem to be
inserted in the data.frame in the opposite order they were d
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