Hi R-helpers,
Does anyone know why adding which() makes the select call more
efficient than just using logical selection in a dataframe? Doesn't
which() technically add another conversion/function call on top of the
logical selection? Here is a reproducible example with a slight
difference in
On Fri, 9 Oct 2020 at 12:28, Martin Maechler wrote:
>
> > Steven Yen
> > on Fri, 9 Oct 2020 05:39:48 +0800 writes:
>
> > Oh Hi Arne, You may recall we visited with this before. I
> > do not believe the problem is algorithm specific. The
> > algorithms I use the most often
Good evening dear administrators,
It is with pleasure that I am writing to you to ask for help to finalize my
R programming algorithm.
Indeed, I attach this note to my code which deals with a case of
independence test statistic . My request is to introduce the kernels using
the functional data
Maria:
What you are looking for (propensity score matching on survey data) is
discussed in lab 5 components of this series using matchit and matching
package:
https://www.youtube.com/playlist?list=PL2yD6frXhFob_Mvfg21Y01t_yu1aC9NnP
Regards,
Ehsan
https://ehsank.com/
On Fri., Oct. 9, 2020,
Maria Cristina,
The MatchIt homepage at https://gking.harvard.edu/matchit has a link
to a mailing list specific to the package and it has searchable
archives. You will probably have better luck there than a general R
programming list. Though a quick perusal of the user guide at that
site makes me
Hello,
The error is not reproducible, the second code line gives:
data<-xts(x=data$PRICE,order.by=tm)
#Error in data$PRICE : object of type 'closure' is not subsettable
Please post a data example in dput format.
dput(head(data, 30))# post the output of this or similar
Hope this helps,
Hi,
I tried running your code but it is not complete. When you create the xts
you refer to data$PRICE but this has never been defined.
I generated synthetic data and used that to create the xts object as
follows:
x <- runif( length(tm), min=90, max=110 )
data<-xts(x=x,order.by=tm)
When I used
The build system rolled up R-4.0.3.tar.gz (codename "Bunny-Wunnies Freak Out")
this morning.
The list below details the changes in this release.
You can get the source code from
https://cran.r-project.org/src/base/R-4/R-4.0.3.tar.gz
or wait for it to be mirrored at a CRAN site nearer to you.
Hello Ablaye,
I didn't find any function xi ,yi.
This is an english mailing list. You will maximize your chance of
getting help by sticking to english.
I would also recommend that you comment your code in English, it will be
easier to share. But on this one it is your call.
PLEASE do read the
Hello Maria Cristina,
On Friday, 9 Oct 2020 at 19:39, Maria Cristina Maurizio wrote:
> Hi! I'm trying to perform propensity score matching on survey data and so
> for each individual observation I have a statistical weight attached. My
> question is: is there a way within the package to consider
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