Thank you Ivan, your example solves my issue this time through
debug(environment(Adder$add)$add)
Just for the future, you say
Moreover, `g` doesn't exist at all until f() is evaluated and reaches
this point. If `f` was a function, it would be possible to trace() it,
inserting a
В Fri, 12 Apr 2024 12:15:07 +
Iago Giné Vázquez пишет:
> f <- function(whatever){
>...
>g <- function(whatever2){
> ...
>}
>...
> }
>
> If I wanted to debug some thing directly inside f I would do
> debug(f). But this does not go inside g code. On the other hand,
>
Hi all, I am trying to debug an error of a function g defined and used inside
another function f of a package.
So I have
f <- function(whatever){
...
g <- function(whatever2){
...
}
...
}
If I wanted to debug some thing directly inside f I would do debug(f). But this
does not
To be precise, in the case I am looking this time f is not a function, but
f <- ggplot2::ggproto(...)
So debug(f) produces
Error in debug(f) : argument must be a function
Iago
De: R-help de part de Iago Gin� V�zquez
Enviat el: divendres, 12 d�abril de 2024
В Fri, 12 Apr 2024 12:53:02 +
Iago Giné Vázquez пишет:
> How should I call trace() if f was a function?
Let the tracer be quote(debug(g)) and use as.list(body(f)) to determine
where it should be injected:
f <- function() {
message('exists("g") so far is ', exists('g'))
g <- function() {
On 12/04/2024 8:15 a.m., Iago Giné Vázquez wrote:
Hi all, I am trying to debug an error of a function g defined and used inside
another function f of a package.
So I have
f <- function(whatever){
...
g <- function(whatever2){
...
}
...
}
If I wanted to debug some thing
Thanks everyone and any/all reading this. I think I got my answer. And, no, I
suspected I did not need to provide a very specific example, at least not yet.
The answer is that my experiment was not vectorized while using dplyr verbs
like mutate do their work implicitly in a vectorized way.
Thanks a lot both Duncan and Ivan,
I will keep that example in mind, Duncan, great!
Best regards,
Iago
De: Duncan Murdoch
Enviat el: divendres, 12 d�abril de 2024 15:36
Per a: Iago Gin� V�zquez ; r-help@r-project.org
Tema: Re: [R] Debugging functions defined
Base R has generic functions called any() and all() that I am having trouble
using.
It works fine when I play with it in a base R context as in:
> all(any(TRUE, TRUE), any(TRUE, FALSE))
[1] TRUE
> all(any(TRUE, TRUE), any(FALSE, FALSE))
[1] FALSE
But in a tidyverse/dplyr environment, it
On 12/04/2024 3:52 p.m., avi.e.gr...@gmail.com wrote:
Base R has generic functions called any() and all() that I am having trouble
using.
It works fine when I play with it in a base R context as in:
all(any(TRUE, TRUE), any(TRUE, FALSE))
[1] TRUE
all(any(TRUE, TRUE), any(FALSE, FALSE))
Hi Avi,
As Duncan already mentioned, a reproducible example would be helpful to
assist you better. Having said that, I think you misunderstand how
`dplyr::filter` works: it performs row-wise filtering, so the filtering
expression shall return a logical vector of the same length as the
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