R Under development (unstable) (2024-09-10 r87115 ucrt) -- "Unsuffered Consequences"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(abind)
> x <- array(1:24,dim=c(2,3,4),dimnames=list(letters[1:2],LETTERS[1:3],letters[23:26]))
> adrop(x[1,,,drop=FALSE],drop=1)
  w  x  y  z
A 1  7 13 19
B 3  9 15 21
C 5 11 17 23
> adrop(x[,1,,drop=FALSE],drop=2)
  w x  y  z
a 1 7 13 19
b 2 8 14 20
> adrop(x[,,1,drop=FALSE],drop=3)
  A B C
a 1 3 5
b 2 4 6
> adrop(x[1,1,1,drop=FALSE],drop=1)
  w
A 1
> adrop(x[1,1,1,drop=FALSE],drop=2)
  w
a 1
> adrop(x[1,1,1,drop=FALSE],drop=3)
  A
a 1
> adrop(x[1,1,1,drop=FALSE],drop=1:2)
w 
1 
> adrop(x[1,1,1,drop=FALSE],drop=1:2,one.d=TRUE)
w 
1 
> adrop(x[1,1,1,drop=FALSE],drop=1:2,named=FALSE)
[1] 1
> dim(adrop(x[1,1,1,drop=FALSE],drop=1:2,one.d=TRUE))
[1] 1
> dimnames(adrop(x[1,1,1,drop=FALSE],drop=1:2,one.d=TRUE))
[[1]]
[1] "w"

> names(adrop(x[1,1,1,drop=FALSE],drop=1:2,one.d=TRUE))
[1] "w"
> dim(adrop(x[1,1,1,drop=FALSE],drop=1:2))
NULL
> dimnames(adrop(x[1,1,1,drop=FALSE],drop=1:2))
NULL
> names(adrop(x[1,1,1,drop=FALSE],drop=1:2))
[1] "w"
> x <- array(1:3, dimnames=list(letters[1:3]))
> x
a b c 
1 2 3 
> options(error=function() NULL)
> adrop(x)
Error in adrop.default(x) : dimensions to drop (1) do not have length 1
Calls: adrop -> adrop.default
> dim(adrop(x))
Error in adrop.default(x) : dimensions to drop (1) do not have length 1
Calls: adrop -> adrop.default
> adrop(x, NULL)
a b c 
1 2 3 
> dim(adrop(x, NULL))
NULL
> 
> proc.time()
   user  system elapsed 
   0.07    0.09    0.15