[Rcpp-devel] Help with accessing and manipulating List objects
Tal Galili
tal.galili at gmail.com
Sat Jul 20 21:14:12 CEST 2013
Hello Dirk and others,
Dirk -
Thank you for the quick reply!
Some responses:
1) I looked at the Rcpp gallery.
The best I found was:
http://gallery.rcpp.org/articles/setting-object-attributes/
(which already was available in Hadley's book)
And:
http://gallery.rcpp.org/articles/modifying-a-data-frame/
http://gallery.rcpp.org/articles/reversing-a-vector/
And also now at unitTests/cpp/DataFrame
(interesting)
But none have helped me with getting the attributes of an element inside a
List.
That is, say that we have x as a List, how do we go about fetching its attr?
I tried:
x[1].attr("type")
x.attr[1]("type")
But none seemed to have worked. Any suggestions there?
2) Your book is on my "to get a hold of somehow" list. Getting books to
Israel is always trickier - I might just get it when I'll visit the US in a
few months.
3) The post on Rcpp didn't get on R-bloggers since it wasn't marked with
the "R" category.
http://blog.revolutionanalytics.com/2013/07/deepen-your-r-experience-with-rcpp.html
(David could still fix it if he wants to - and set the date of the post to
be more recent)
4) Having an
is<List>(x) will be nice. Although I will need to see some examples to see
when it is better then simply using:
x.inherits("list")
5) I couldn't find a
'dispatch on type' example in the Rcpp gallery.
I'm probably missing something in how I'm searching there.
6) Environment.cpp in the unitTest is interesting. It is probably what I
needed.
7) To Dirk and others - I will be happy to wait a bit to see if any of you
can help by writing the R functions from my previous e-mail in Rcpp. That
would be a big help for me in understanding how the relevant pieces should
fit together.
(the functions themselves are not useful, but they require many of the
features I imagine I will need later on).
Cheers,
Tal
----------------Contact
Details:-------------------------------------------------------
Contact me: Tal.Galili at gmail.com |
Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) |
www.r-statistics.com (English)
----------------------------------------------------------------------------------------------
On Sat, Jul 20, 2013 at 8:47 PM, Dirk Eddelbuettel <edd at debian.org> wrote:
>
> Hi Tal,
>
> And welcome!
>
> On 20 July 2013 at 19:44, Tal Galili wrote:
> | Hello dear Rcpp users,
> |
> | First - I'd like to say that I took Hadley and Romain's workshop at the
> useR
> | conference this year, and I am very excited about trying out Rcpp - this
> | project looks AMAZING.
>
> Your feedback (as conveyed earlier in private email) is much appreciated.
>
> There was a second, and also very positive, response to the same workshop:
> Joe posted it on the REvo blog last week---somehow that never made it
> through
> R Bloggers, I think.
>
> | Second - this is my first post, and I apologize if my question is too
> basic. To
> | my defense, I tried looking through this mailing list / googled before
> asking,
> | and read through Hadley's github chapter on Rcpp.
>
> I hear there is a book on Rcpp too :)
>
> | The questions:
> |
> | I am looking to understand better how List objects can be navigated,
> their
> | elements accessed, and manipulated - using Rcpp.
> |
> | For example, here is an R list object:
> |
> | x <- list(a = 1, b = 2, c = list(ca = 3, cb = 4, 5), 6)
> | attr(x[[1]], "type") = "fun"
> | attr(x[[3]][[1]], "type") = "fun"
> | x
> |
> | I would like to create two types of functions:
> | 1) A function that will go through "x" and will RETURN all of the
> elements
> | within it that are of type "fun".
> | In R I would do it like this:
> |
> | return_fun <- function(x) {
> | fun_nubmers <- numeric()
> | for(i in seq_along(x)) {
> | if(class(x[[i]]) == "list") {
> | fun_nubmers <- c(fun_nubmers, return_fun(x[[i]]))
> | } else {
> | if(!is.null(attr(x[[i]], "type"))) {
> | if(attr(x[[i]], "type") == "fun") fun_nubmers <-
> c(fun_nubmers, x
> | [[i]])
> | }
> | }
> | }
> | return fun_nubmers
> | }
> | return_fun(x) # output: 1 3
> |
> | But in Rcpp there are many parts to this R function that I don't know
> how to
> | do. I don't know how to access the attributes of a sub-element within a
> List, I
> | don't know how to check if that attribute is null or not, etc. So any
> | suggestions on either reading material (or better yet - an example of
> how this
> | function might be created in Rcpp would be great.
>
> You can access attributes, pretty much as in R. You can access lists
> within
> lists, pretty much as in R.
>
> Two quick pointers to working examples:
>
> -- our unit tests, especially now that they all have been rewritten via
> Rcpp attributes to be R files calling sourceCpp on C++ files:
>
> edd at max:~$ grep -l attr
> /usr/local/lib/R/site-library/Rcpp/unitTests/cpp/*
> /usr/local/lib/R/site-library/Rcpp/unitTests/cpp/DataFrame.cpp
> /usr/local/lib/R/site-library/Rcpp/unitTests/cpp/S4.cpp
> edd at max:~$
>
> -- the Rcpp Gallery which has several posts on attr
>
> Likewise, Lists within lists can be accessed as well. You need to test each
> element for its type. The Rcpp Gallery has a 'dispatch on type' example as
> I
> recall. These still use the C API of R --- but Romain just added beginnings
> of is<foo>(x) tests to Rcpp's SVN which will help with tasks like this.
>
> | 2) A function that will go through "x" and will CHANGE all of the
> elements
> | within it that are of type "fun". For example, adding 1 to them.
> | In R I would do it like this:
> |
> | add1_fun <- function(x) {
> | for(i in seq_along(x)) {
> | if(class(x[[i]]) == "list") {
> | x[[i]] <- add1_fun(x[[i]])
> | } else {
> | if(!is.null(attr(x[[i]], "type"))) {
> | if(attr(x[[i]], "type") == "fun") x[[i]] <- x[[i]] + 1
> | }
> | }
> | }
> | x
> | }
> | add1_fun(x)
> | return_fun(x) # output: 1 3
> | return_fun(add1_fun(x) ) # output: 2 4
>
> That is similar -- you need to test and recurse as well.
>
> | 3) Is it possible to work with some "global" variable from within a
> recursive
> | Rcpp function?
> | For example:
> |
> |
> | count_till_5 <- function() {
> | if(!exists("global_var")) global_var = 0
> |
> | if(global_var <5) {
> | global_var <<- global_var+1
> | count_till_5()
> | }
> | }
> | count_till_5()
> | global_var
> |
> | Is there a way to create something like this with Rcpp?
>
> Yes by using the Environment class and accessing elements from a given
> environment -- here the global one.
>
> Again, I think the Rcpp Gallery has a Environment example. The unit tests
> do.
>
> These are all nice yet not entirely trivial questions. I would like try to
> cook something up (unless somebody beats me to it) but I have a things I
> need
> to be working on instead ...
>
> Cheers, Dirk
>
> --
> Dirk Eddelbuettel | edd at debian.org | http://dirk.eddelbuettel.com
>
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