Thanks all -> I definitely see the appeal of vectorization.
I'm going to take a few pokes to do just that.

Best,
Jack

Hervé Pagès wrote:

Hi Jack,

You can use

  sapply(seq_along(gr), function(i) print(gr[i]))

instead of

  sapply(gr, print)

But yes, as Michael noted, looping on a GRanges or IRanges object
is generally not efficient and should be avoided. There is almost
always a "vectorized" solution and it's generally much faster.
However, depending on what you are trying to do exactly, coming up
with a "vectorized" solution can be tricky.

Cheers,
H.

On 05/14/2018 07:28 AM, Jack Fu wrote:
Hey all,

I think some of the recent changes to GRanges has affected using the
apply class functions with GRanges objects:

o GenomicRanges now is a List subclass. This means that GRanges objects and their derivatives are now considered list-like objects (even though [[ don't work on them yet, this will be implemented in Bioconductor 3.8).


The following code will throw:
gr <- GRanges(1, IRanges(1:2, 3:4))
sapply(gr, print)

Error in (function (classes, fdef, mtable)  :
    unable to find an inherited method for function 'getListElement' for
signature '"GRanges"'

Access using gr[1], gr[1:2] still works normally.
Are there any recommendations on a workaround for this issue without
resorting back to for loops?

Thanks all,
Jack

    [[alternative HTML version deleted]]

_______________________________________________
Bioc-devel@r-project.org mailing list
https://urldefense.proofpoint.com/v2/url?u=https-3A__stat.ethz.ch_mailman_listinfo_bioc-2Ddevel&d=DwICAg&c=eRAMFD45gAfqt84VtBcfhQ&r=BK7q3XeAvimeWdGbWY_wJYbW0WYiZvSXAJJKaaPhzWA&m=k5vpJVkh58WH_4jBoE8Hcz_bmop9lW6D_bqF-tDiDm8&s=s_wv4S9c-aOZ3KFs8bcPcZL8UJUz0xC6cOi4LMqmkRc&e=



_______________________________________________
Bioc-devel@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/bioc-devel

Reply via email to