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 timi
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 a
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 for
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, 4:0
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 th
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.
8 matches
Mail list logo