Dear R users,
When modify-in-place of objects occurs, is there a local variable called
`*tmp*`, behind the scenes R? Let's look at two examples to understand the
question.
Example 1 (R Language Definition)
--
> x <- 1:10
> tracemem(x)
[1] "<000
On Thu, 07 Oct 2021, Leonard Mada via R-help writes:
> Dear R Users,
>
>
> I wrote a minimal parser to extract strings and
> comments from the function definitions.
>
>
> The string extraction works fine. But there are no comments:
>
> a.) Are the comments stripped from the compiled packages?
>
>
Dear Ravi,
It's already been suggested that you could disable warnings, but that's
risky in case there's a warning that you didn't anticipate. Here's a
different approach:
> kk <- k[k >= -1 & k <= n]
> ans <- numeric(length(k))
> ans[k > n] <- 1
> ans[k >= -1 & k <= n] <- pbeta(p, kk + 1, n -
Bert's approach is much less risky!
On Thu, Oct 7, 2021 at 1:37 PM Bert Gunter wrote:
>
> ?suppressWarnings
>
> > p <- .05
> > k <- c(-1.2,-0.5, 1.5, 10.4)
> > n <- 10
> >
> > ans <- ifelse (k >= -1 & k <= n, pbeta(p,k+1,n-k,lower.tail=FALSE),
> ifelse (k < -1, 0, 1) )
> Warning message:
> In pbe
If you are positive the warnings don't matter for your application,
you can disable them: see ?options for details of warn.
But that can be dangerous, so be careful!
Sarah
On Thu, Oct 7, 2021 at 1:21 PM Ravi Varadhan via R-help
wrote:
>
> Hi,
> I would like to execute the following vectorized c
?suppressWarnings
> p <- .05
> k <- c(-1.2,-0.5, 1.5, 10.4)
> n <- 10
>
> ans <- ifelse (k >= -1 & k <= n, pbeta(p,k+1,n-k,lower.tail=FALSE),
ifelse (k < -1, 0, 1) )
Warning message:
In pbeta(p, k + 1, n - k, lower.tail = FALSE) : NaNs produced
>
> suppressWarnings(ans <- ifelse (k >= -1 & k <= n,
Hi,
I would like to execute the following vectorized calculation:
ans <- ifelse (k >= -1 & k <= n, pbeta(p, k+1, n-k, lower.tail = FALSE),
ifelse (k < -1, 0, 1) )
For example:
> k <- c(-1.2,-0.5, 1.5, 10.4)
> n <- 10
> ans <- ifelse (k >= -1 & k <= n, pbeta(p,k+1,n-k,lower.tail=FALSE), ifels
Dear R Users,
I wrote a minimal parser to extract strings and comments from the
function definitions.
The string extraction works fine. But there are no comments:
a.) Are the comments stripped from the compiled packages?
b.) Alternatively: Is the deparse() not suited for this task?
b.2.)
My experience is that the combination of OneDrive and R leads to lack of
productivity.
--
W. Michael Conklin
EVP Marketing & Data Sciences
GfK
M +1 612 567 8287
-Original Message-
From: R-help On Behalf Of Kevin Thorpe
Sent: Thursday, October 7, 2021 10:50 AM
To: Jeff Newmiller
Cc: R
Nice fortune.
In retrospect, maybe it would have worked to re-build the user library. Things
were acting so strangely to me I opted for the direct, if more dangerous
approach. :-)
> On Oct 7, 2021, at 11:37 AM, Jeff Newmiller wrote:
>
> Sad, more like.
>
> fortunes::fortune(337)
>
> You wo
Sad, more like.
fortunes::fortune(337)
You would have done just as well to delete the user library and let R prompt
you to re-create it if things were that bad. Note that the default R
configuration always looks first in the user library and only falls back to the
system library if the desired
Dear Martin Morgan,
Thanks for all those links! Yes, my
question can be characterized like that
I think, traditional way writing
a temporary table into the database and
left JOINing the others vs.
parameterized query.
A relevant example would be to first
create the database from the compr
I thought I would close the loop on this. It was really weird and I don’t
understand everything that went on.
First, it was indeed the case that the main library was not writeable so
packages were being installed in a user library.
Here is where it gets confusing to me. Both library paths did a
On 2021-10-06 12:11 -0700, Jeff Newmiller wrote:
> FWIW all SQL implementations work
> better with indexes
An index seems to be a good way to
improve sql performance, I'll look into
it.
Best,
Rasmus
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R-hel
Dear Ivan,
Thanks for that explaination! I think
it explains the slowness clearly.
It is possible to use carray is in Rust
[1] so it might be available in R in the
future(?) I'll look into rusqlite some
time at least.
sqlite is supposed to be one of the
fastest sql implementations. Realm
Hallo Rui.
I finally tested your function and it seems to me that it should propagate
to the core R or at least to the stats package.
Although it is a bit overkill for my purpose, its use is straightforward and
simple. I checked it for several *test functions and did not find any
problem.
Thanks
Hi,
I am trying to learn more about tidygraph, so i am following this blog:
https://www.data-imaginist.com/2017/introducing-tidygraph/
Few months ago the examples in the blog worked very well, but today they do
not.
I just installed R x64 4.1.1, so i should be up and running with the latest
on a
On Wed, 6 Oct 2021 16:23:15 +
Rasmus Liland wrote:
>"SELECT * FROM gene2refseq
> LEFT JOIN gene_info ON
> gene_info.GeneID = gene2refseq.GeneID
> WHERE gene2refseq.`RNA_nucleotide_accession.version`
> LIKE ?"
<...>
> x1 <- DBI::dbGetQuery(
Hi
I would print/save iteration number to see at what time this occured and
probably traceback() could give you some hint.
Alternatively you could make a function from your code see ?function and use
debug to trace the error.
Without some working example it is impossible to see where is the probl
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