library(dplyr)
my_df |> group_by(my_category) |> summarise(my_z = cor(my_x, my_y))
On Sat, Apr 9, 2022 at 4:37 AM Richard M. Heiberger wrote:
> look at
> ?mapply
> Apply a Function to Multiple List or Vector Arguments
>
> to see if that meets your needs
>
> > On Apr 08, 2022, at 21:26, Kelly
The reason why you hit the limit already around 100 workers, could be
because you already have other connections open, e.g. file
connections, capture.output(), etc.
If you want to use *forked* processing with more than 125 workers
using bare-bone R, you can use parallel::mclapply() and friends,
I am trying to run a parallel job on a computer with many CPUs and get
the following error:
> library(parallel)
> cl <- makeForkCluster(128)
Error in UseMethod("sendData") :
no applicable method for 'sendData' applied to an object of class "NULL"
If I scale down to 100 CPUs it doesn't
Hi,
Vincent, you might want to connect with David Caldwell on the issues that you
are facing. I noted that on this page:
https://emacsformacosx.com/about
he notes that there are changes to the app launcher that may be relevant to
what you are experiencing. Whether there is an intentional
Thanks, Bill.
This is a subtlety I certainly did not understand.
Bert
On Fri, Apr 8, 2022 at 10:08 AM Bill Dunlap wrote:
>
> plotmath also accepts names and calls, which it treats as though they were
> single-element expressions. That is why quote() generally works.
> quote("string") or
I was asked in private, but reply in public,
so others can also find this answer in the future:
On Fri, Apr 8, 2022 at 1:11 PM . wrote :
> Hello
> dear Dr. Maechler
> I have a question about "pam" function in the cluster package. In this
> function, we choose one of the euclidean or
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