On 27-08-2023 21:02, Ivan Krylov wrote:
On Sun, 27 Aug 2023 19:54:23 +0100
John Logsdon wrote:
Not so although it did lower the gc() time to 95.84%.
This was on a 16 core Threadripper 1950X box so I was intending to
use library parallel but I tried it on my lowly windows box that is
years
aged to do this yet.
Can anyone advise me?
And why is the Linux version so much worse than Windows?
TIA
--
John Logsdon
Quantex Research Ltd
m:+447717758675/h:+441614454951
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mps<-clump_adj_int(bar)
> # write another function to sum the values
> sum_subsets<-function(indices,vector)
> return(sum(vector[indices],na.rm=TRUE))
> # now "apply" the function to the list of indices
> lapply(index_clumps,sum_subsets,foo)
>
> Jim
>
>
> O
that will take ages. Is there any vectorised
apply-like solution to this?
Or does apply etc only operate on each row at a time, independently of
other rows?
Best wishes
John
John Logsdon
Quantex Research Ltd
+44 161 445 4951/+44 7717758675
__
R-h
lists which may well be an
unnecessary overhead.
I have been trying other approaches using apply() methods but either it
can't be done using them or I can't get my head round them!
Any ideas?
Best wishes
John
John Logsdon
Quantex Research Ltd
+44 161 445 4951
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