I do not understand the question and I do not understand the answer. Possibly
one confounds the other.
-Original Message-
From: R-help On Behalf Of Erin Hodgess
Sent: Thursday, December 12, 2024 11:56 AM
To: Bill Dunlap
Cc: r-help@R-project.org
Subject: Re: [R] [off-topic] crossword
[E
Concur
On Mon, 2 Dec 2024 at 01:47, Rolf Turner wrote:
>
> On Sun, 1 Dec 2024 21:43:45 -0800
> Bert Gunter wrote:
>
>
> > Finally, my best advice would be to forget about SAS if you wish to
> > use R. Trying to translate SAS paradigms into R is the devil's work.
>
> cheers,
>
> Rolf Turner
>
>
Will do!
Thanks for all your help!
-Thomas
From: Gregg Powell
Sent: Thursday, December 12, 2024 12:30 PM
To: Deramus, Thomas Patrick
Cc: r-help@r-project.org
Subject: Re: [R] Cores hang when calling mcapply
Hi Thomas,
Glad to hear the suggestion helped, and
Hi Thomas,
Glad to hear the suggestion helped, and that switching to a `data.table`
approach reduced the processing time and memory overhead—15 minutes for one of
the smaller datasets is certainly better! Sounds like the adjustments you
devised, especially keeping the multicore approach for `ma
RULES!
Erin Hodgess, PhD
mailto: erinm.hodg...@gmail.com
On Thu, Dec 12, 2024 at 9:42 AM Bill Dunlap
wrote:
> The New York Times crossword this morning had the clue (51 down, 5 letters)
> "Writes in C or R, say".
>
> -Bill
>
> [[alternative HTML version deleted]]
>
> _
The New York Times crossword this morning had the clue (51 down, 5 letters)
"Writes in C or R, say".
-Bill
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/li
Hi Gregg.
Just wanted to follow up on the solution you proposed.
I had to make some adjustments to get exactly what I wanted, but it works, and
takes about 15 minutes on our server configuration:
temp <-
open_dataset(
sources = input_files,
format = 'csv',
Dear Gabor,
THanks a lot
THanking you,
Yours sincerely,
AKSHAY M KULKARNI
From: Gabor Grothendieck
Sent: Thursday, December 12, 2024 7:39 PM
To: akshay kulkarni
Cc: R help Mailing list
Subject: Re: [R] SQL and R
The advantages of SQL a
The advantages of SQL are that
- it can be used from many languages so if you know SQL you can easily
move that part of your code to python, say,
and visa versa
- it is widely used
- it can handle data stored outside of R and possibly otherwise too large for R
- some SQL databases support multiple
Dear Eberhard,
Yes I did much research in google afetr the posting
in this list. THe answers here and my research has made me understand SQL vis-
a-vis R pretty wellthanks agian,
THanking you,
Yours sincerely,
AKSHAY M KULKARNI
F
Dear Calum,
THanks for the simple and practical answer.
Thanking you,
Yours sincerely
AKSHAY M KULKARNI
From: CALUM POLWART
Sent: Thursday, December 12, 2024 4:22 AM
To: Sorkin, John
Cc: akshay kulkarni ; R help Mailing list
; avi.e.gr...@g
Dear John,
THanks a lot.
THanking you,
Yours sincerely,
AKSHAY M KULKARNI
From: Sorkin, John
Sent: Thursday, December 12, 2024 3:09 AM
To: akshay kulkarni ; R help Mailing list
; avi.e.gr...@gmail.com ; Ben
Bolker
Subject: Re: SQL and R
Dea
Dear JC,
THanks .
THanking you,
Yours sincerely,
AKSHAY M KULKARNI
From: R-help on behalf of J C Nash
Sent: Wednesday, December 11, 2024 10:27 PM
To: r-help@r-project.org
Subject: Re: [R] SQL and R - tangential
My late friend Morven Gentle
Dear Bert,
THanks a lot
From: Bert Gunter
Sent: Wednesday, December 11, 2024 9:25 PM
To: akshay kulkarni
Cc: R help Mailing list
Subject: Re: [R] SQL and R
Just a slight technical note -- Ben gave you a good answer already, imo.
The note is:
14 matches
Mail list logo