easy native solution and you need to share a lot of data for
> small results. If the data is small, or you need to read it first, then other
> methods like PSOCK may be preferable. In any case, parallelization only makes
> sense for code that you know will take a long time to run.
&
even use stop() here if you wanna be
> conservative.
>
> [0] https://github.com/rstudio/rstudio/issues/2597#issuecomment-482187011
> [1] https://stat.ethz.ch/pipermail/r-devel/2020-January/078896.html
>
> /Henrik
>
> On Tue, Apr 28, 2020 at 2:39 AM Shian Su wrote:
>&g
2020, at 7:29 pm, Simon Urbanek
mailto:simon.urba...@r-project.org>> wrote:
Sorry, the code works perfectly fine for me in R even for 1e6 observations (but
I was testing with R 4.0.0). Are you using some kind of GUI?
Cheers,
Simon
On 28/04/2020, at 8:11 PM, Shian Su mailto:s...@wehi.
ug could not be reproduced on my Ubuntu 19.10 running R 3.6.1.
Kind regards,
Shian Su
Shian Su
PhD Student, Ritchie Lab 6W, Epigenetics and Development
Walter & Eliza Hall Institute of Medical Research
1G Royal Parade, Parkville VIC 3052, Australia
Hi R-devel,
I have noticed a discrepancy between is.list() and is(x, “list”), which I
previously believed to be synonymous. On R version 3.5.2 (2018-12-20):
data(iris)
is.list(iris)# TRUE
is(iris, “list”) # FALSE
Is this discrepancy intentional?
Kind regards,
Shian Su
