Reputation: 60004
I have a list of records:
z <- list(list(a=1),list(a=4),list(a=2))
and I try to add fields to each of them. Alas, neither
lapply(z,function(l) l$b <- 1+l$a)
nor
for(l in z) l$b <- 1+l$a
modifies z
.
In this simple case I can, of course, do
z <- lapply(z,function(l) c(list(b= 1+l$a),l))
but this quickly gets out of hand when the lists have more nesting:
z <- list(list(a=list(b=1)),list(a=list(b=4)),list(a=list(b=2)))
How do I turn it into
list(list(a=list(b=1,c=2)),list(a=list(b=4,c=5)),list(a=list(b=2,c=3)))
without repeating the definition of the whole structure?
Each element of z
has many fields, not just a
; and z[[10]]$a
has many subfields, not just b
.
Upvotes: 4
Views: 2621
Reputation: 44309
Your first code example doesn't modify the list because you need to return the list in your call to lapply
:
z <- list(list(a=1),list(a=4),list(a=2))
expected <- list(list(a=1, b=2), list(a=4, b=5), list(a=2, b=3))
outcome <- lapply(z,function(l) {l$b <- 1+l$a ; l})
all.equal(expected, outcome)
# [1] TRUE
In the doubly nested example, you could use lapply
within lapply
, again making sure to return the list in the inner lapply
:
z <- list(list(a=list(b=1)),list(a=list(b=4)),list(a=list(b=2)))
expected <- list(list(a=list(b=1, c=2)), list(a=list(b=4, c=5)), list(a=list(b=2, c=3)))
obtained <- lapply(z, function(l1) { lapply(l1, function(l2) {l2$c = l2$b+1 ; l2 } )})
all.equal(expected, obtained)
# [1] TRUE
Upvotes: 4
Reputation: 173547
Another, somewhat convoluted, option:
z <- list(list(a=1),list(a=4),list(a=2))
res <- list(list(a=list(b=1,c=2)),list(a=list(b=4,c=5)),list(a=list(b=2,c=3)))
res1 <- rapply(z,function(x) list(b = x,c = x+1),how = "replace")
> all.equal(res,res1)
[1] TRUE
I only say convoluted because rapply
can be tricky to use at times (for me at least).
Upvotes: 2