Suggested by Charles Plessy on the Bioconductor support site.
Could be something like this (roughly):
library(S4Vectors)
setClass("SimpleList2", contains=c("List", "list"))
setMethod("parallel_slot_names", "SimpleList2", function(x) c(".Data", callNextMethod()))
setMethod("as.list", "SimpleList2", function(x) setNames(x@.Data, names(x)))
Then:
x <- new("SimpleList2", list(a=11:13, b=22:25, c=NULL, d="A"))
length(x)
# [1] 4
names(x)
# [1] "a" "b" "c" "d"
x
# SimpleList2 of length 4
# names(4): a b c d
as.list(x)
# $a
# [1] 11 12 13
#
# $b
# [1] 22 23 24 25
#
# $c
# NULL
#
# $d
# [1] "A"
unlist(x)
# a a a b b b b d
# "11" "12" "13" "22" "23" "24" "25" "A"
x[[2]]
# [1] 22 23 24 25
mcols(x)$score <- runif(4)
mcols(x)
# DataFrame with 4 rows and 1 column
# score
# <numeric>
# a 0.1695619
# b 0.0302325
# c 0.9856251
# d 0.1155053
purrr::map(x, rev)
# $a
# [1] 13 12 11
#
# $b
# [1] 25 24 23 22
#
# $c
# NULL
#
# $d
# [1] "A"
This is of course a very disruptive change because it touches the internal representation of all SimpleList objects and derivatives (this includes DFrame objects). Which means that all these objects will need to be updated and re-serialized.
Should we do this?
H.
Suggested by Charles Plessy on the Bioconductor support site.
Could be something like this (roughly):
Then:
This is of course a very disruptive change because it touches the internal representation of all SimpleList objects and derivatives (this includes DFrame objects). Which means that all these objects will need to be updated and re-serialized.
Should we do this?
H.