On Tue, 25 Oct 2022 08:33:10 -0500
ken eagle wrote:
> I thought I was loading a ~300M binary (bigwig) file into another
> application . . .
Is the other application R dependent, written in R, or call R
capacities? If it doesn't, the issue might be with the "other
application rather than R.
Hi Micheal, Rui, Jin and Matthias,
I appreciate your time and help. The problem has been solved with your
guides.
Kind regards,
Greg.
On Tue, Oct 25, 2022 at 12:11 AM Prof. Dr. Matthias Kohl <
matthias.k...@stamats.de> wrote:
> MKclass::perfMeasures(predict_testing, truth = testing$case, namePos
My bet would be a .RData file. They extract data from shared objects in memory
but do not restore that data in shared objects, so there is a risk of memory
requirements exploding.
If this is actually a problem specific to the Mac, you might want to ask on
R-sig-mac.
On October 25, 2022
There probably is a package with such a function, but you can do with one
call to sub() if you parenthesize all the subexpressions in the regular
expression and use \\1, etc., in the replacement for those parts you want
to keep. E.g.,
> s <- ""
> want <- ""
> new_regexp <- "(.*<[^>]+
An R regular expression pattern can contain parenthesized
subexpressions, and those can be used later in the same pattern, or in
the replacement in sub() and gsub(). What I'd like to do is match
several subexpressions and replace all of them.
For example, I might have a string like
s <-
I thought I was loading a ~300M binary (bigwig) file into another
application, but the window changed to the R GUI without my realizing it
and R tried to load the file. I’m on a Mac M1-based laptop with system
12.5.1 and 8G of ram, running R 4.2.1 (Intel version). According to
ActivityMonitor,
Good catch! I also misread it, and I think most people would. If I wanted to
write confusing documentation then I could play similar games with 'mode' and
'length'.
Regards,
Jorgen Harmse.
> test <- c(TRUE,FALSE,FALSE)
> attr(test,'class') <- 'foo' # probably a bad idea, but I want to see
Dear Kelly,
Have a look at the renv package (https://CRAN.R-project.org/package=renv).
Once setup, your code reduces to renv::restore()
Best regards,
ir. Thierry Onkelinx
Statisticus / Statistician
Vlaamse Overheid / Government of Flanders
INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH
I have R packages I want to use.
Q. What is the "best" way to get to a point where all of the packages
are installed and "ready to use", AND where I only install or
re-install a package if doing so is needed?
#I searched the web for insights and found these:
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