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Methods to extract, exchange, or duplicate (i.e. repeat x times) subsets of an object.

Usage

ii_x(x, ...)

ss_x(x, ...)

sbt_x(x, ...)

# Default S3 method
ii_x(x, i = NULL, ...)

# Default S3 method
ss_x(x, s = NULL, d = 1:ndim(x), ...)

# Default S3 method
sbt_x(x, row = NULL, col = NULL, ...)

# S3 method for class 'data.frame'
sbt_x(x, obs = NULL, vars = NULL, ...)

Arguments

x

see squarebrackets_supported_structures.

...

see squarebrackets_method_dispatch.

i, s, d, row, col, obs, vars

See squarebrackets_indx_args.
Duplicates are allowed, resulting in duplicated indices.
An empty index selection results in an empty object of length 0.

Value

Returns a copy of the sub-setted object.

Examples



# atomic objects ====

obj <- matrix(1:16, ncol = 4)
colnames(obj) <- c("a", "b", "c", "a")
print(obj)
#>      a b  c  a
#> [1,] 1 5  9 13
#> [2,] 2 6 10 14
#> [3,] 3 7 11 15
#> [4,] 4 8 12 16
ss_x(obj, s = n(1:3), d = 1:ndim(obj))
#>      a b  c
#> [1,] 1 5  9
#> [2,] 2 6 10
#> [3,] 3 7 11
# above is equivalent to obj[1:3, 1:3, drop = FALSE]
ii_x(obj, i = \(x) x > 5)
#>  [1]  6  7  8  9 10 11 12 13 14 15 16
# above is equivalent to obj[obj > 5]
ss_x(obj, s = n(c("a", "a")), d = 2L)
#>      a  a a  a
#> [1,] 1 13 1 13
#> [2,] 2 14 2 14
#> [3,] 3 15 3 15
#> [4,] 4 16 4 16
# above is equivalent to obj[, lapply(c("a", "a"), \(i) which(colnames(obj) == i)) |> unlist()]

obj <- array(1:64, c(4,4,3))
print(obj)
#> , , 1
#> 
#>      [,1] [,2] [,3] [,4]
#> [1,]    1    5    9   13
#> [2,]    2    6   10   14
#> [3,]    3    7   11   15
#> [4,]    4    8   12   16
#> 
#> , , 2
#> 
#>      [,1] [,2] [,3] [,4]
#> [1,]   17   21   25   29
#> [2,]   18   22   26   30
#> [3,]   19   23   27   31
#> [4,]   20   24   28   32
#> 
#> , , 3
#> 
#>      [,1] [,2] [,3] [,4]
#> [1,]   33   37   41   45
#> [2,]   34   38   42   46
#> [3,]   35   39   43   47
#> [4,]   36   40   44   48
#> 
ss_x(obj, s = n(1:3, 1:2), d = c(1,3))
#> , , 1
#> 
#>      [,1] [,2] [,3] [,4]
#> [1,]    1    5    9   13
#> [2,]    2    6   10   14
#> [3,]    3    7   11   15
#> 
#> , , 2
#> 
#>      [,1] [,2] [,3] [,4]
#> [1,]   17   21   25   29
#> [2,]   18   22   26   30
#> [3,]   19   23   27   31
#> 
# above is equivalent to obj[1:3, , 1:2, drop = FALSE]
ii_x(obj, i = \(x)x > 5)
#>  [1]  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
#> [26] 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48
# above is equivalent to obj[obj > 5]


#############################################################################


# lists ====

obj <- list(a = 1:10, b = letters[1:11], c = 11:20)
print(obj)
#> $a
#>  [1]  1  2  3  4  5  6  7  8  9 10
#> 
#> $b
#>  [1] "a" "b" "c" "d" "e" "f" "g" "h" "i" "j" "k"
#> 
#> $c
#>  [1] 11 12 13 14 15 16 17 18 19 20
#> 
ii_x(obj, 1) # obj[1]
#> $a
#>  [1]  1  2  3  4  5  6  7  8  9 10
#> 
ii_x(obj, 1:2) # obj[1:2]
#> $a
#>  [1]  1  2  3  4  5  6  7  8  9 10
#> 
#> $b
#>  [1] "a" "b" "c" "d" "e" "f" "g" "h" "i" "j" "k"
#> 
ii_x(obj, is.numeric) # obj[sapply(obj, is.numeric)]
#> $a
#>  [1]  1  2  3  4  5  6  7  8  9 10
#> 
#> $c
#>  [1] 11 12 13 14 15 16 17 18 19 20
#> 
# for recursive subsets, see lst_rec()


obj <- rbind(
  lapply(1:4, \(x)sample(c(TRUE, FALSE, NA))),
  lapply(1:4, \(x)sample(1:10)),
  lapply(1:4, \(x)rnorm(10)),
  lapply(1:4, \(x)sample(letters))
)
colnames(obj) <- c("a", "b", "c", "a")
print(obj)
#>      a            b            c            a           
#> [1,] logical,3    logical,3    logical,3    logical,3   
#> [2,] integer,10   integer,10   integer,10   integer,10  
#> [3,] numeric,10   numeric,10   numeric,10   numeric,10  
#> [4,] character,26 character,26 character,26 character,26
ss_x(obj, s = n(1:3), d = 1:ndim(obj))
#>      a          b          c         
#> [1,] logical,3  logical,3  logical,3 
#> [2,] integer,10 integer,10 integer,10
#> [3,] numeric,10 numeric,10 numeric,10
# above is equivalent to obj[1:3, 1:3, drop = FALSE]
ii_x(obj, i = is.numeric)
#> [[1]]
#>  [1]  5  1  2  3  6  4  9 10  7  8
#> 
#> [[2]]
#>  [1]  0.07172819  1.31478153  1.15483700  0.44180571 -1.48440029 -2.82319411
#>  [7] -0.29184508  0.92987800  0.85048762 -0.59685342
#> 
#> [[3]]
#>  [1]  5  6  9  3  2  7 10  1  8  4
#> 
#> [[4]]
#>  [1] -0.76882711  1.13768133  0.34711343 -0.78904510  0.66128615 -1.49914708
#>  [7] -0.04262502 -0.47177480 -0.39288135 -0.36021052
#> 
#> [[5]]
#>  [1]  1  6  7  5  9  8  4 10  3  2
#> 
#> [[6]]
#>  [1] -0.66744569  0.49342239 -0.90822077 -0.83959758  0.07614879  0.40134900
#>  [7]  0.10253661  1.04367433  0.45641635 -0.01515641
#> 
#> [[7]]
#>  [1] 10  1  7  2  4  8  9  5  6  3
#> 
#> [[8]]
#>  [1] -0.2767074  1.2920684  1.1245940  0.2695532 -1.9048980  1.2280046
#>  [7]  0.2131058  0.6866260  0.7195622  0.6227942
#> 
# above is equivalent to obj[sapply(obj, is.numeric)]
ss_x(obj, s = n(c("a", "a")), d = 2L)
#>      a            a            a            a           
#> [1,] logical,3    logical,3    logical,3    logical,3   
#> [2,] integer,10   integer,10   integer,10   integer,10  
#> [3,] numeric,10   numeric,10   numeric,10   numeric,10  
#> [4,] character,26 character,26 character,26 character,26
# above is equivalent to obj[, lapply(c("a", "a"), \(i) which(colnames(obj) == i)) |> unlist()]

obj <- array(as.list(1:64), c(4,4,3))
print(obj)
#> , , 1
#> 
#>      [,1] [,2] [,3] [,4]
#> [1,] 1    5    9    13  
#> [2,] 2    6    10   14  
#> [3,] 3    7    11   15  
#> [4,] 4    8    12   16  
#> 
#> , , 2
#> 
#>      [,1] [,2] [,3] [,4]
#> [1,] 17   21   25   29  
#> [2,] 18   22   26   30  
#> [3,] 19   23   27   31  
#> [4,] 20   24   28   32  
#> 
#> , , 3
#> 
#>      [,1] [,2] [,3] [,4]
#> [1,] 33   37   41   45  
#> [2,] 34   38   42   46  
#> [3,] 35   39   43   47  
#> [4,] 36   40   44   48  
#> 
ss_x(obj, s = n(1:3, 1:2), d = c(1,3))
#> , , 1
#> 
#>      [,1] [,2] [,3] [,4]
#> [1,] 1    5    9    13  
#> [2,] 2    6    10   14  
#> [3,] 3    7    11   15  
#> 
#> , , 2
#> 
#>      [,1] [,2] [,3] [,4]
#> [1,] 17   21   25   29  
#> [2,] 18   22   26   30  
#> [3,] 19   23   27   31  
#> 
# above is equivalent to obj[1:3, , 1:2, drop = FALSE]
ii_x(obj, i = \(x)x > 5)
#> [[1]]
#> [1] 6
#> 
#> [[2]]
#> [1] 7
#> 
#> [[3]]
#> [1] 8
#> 
#> [[4]]
#> [1] 9
#> 
#> [[5]]
#> [1] 10
#> 
#> [[6]]
#> [1] 11
#> 
#> [[7]]
#> [1] 12
#> 
#> [[8]]
#> [1] 13
#> 
#> [[9]]
#> [1] 14
#> 
#> [[10]]
#> [1] 15
#> 
#> [[11]]
#> [1] 16
#> 
#> [[12]]
#> [1] 17
#> 
#> [[13]]
#> [1] 18
#> 
#> [[14]]
#> [1] 19
#> 
#> [[15]]
#> [1] 20
#> 
#> [[16]]
#> [1] 21
#> 
#> [[17]]
#> [1] 22
#> 
#> [[18]]
#> [1] 23
#> 
#> [[19]]
#> [1] 24
#> 
#> [[20]]
#> [1] 25
#> 
#> [[21]]
#> [1] 26
#> 
#> [[22]]
#> [1] 27
#> 
#> [[23]]
#> [1] 28
#> 
#> [[24]]
#> [1] 29
#> 
#> [[25]]
#> [1] 30
#> 
#> [[26]]
#> [1] 31
#> 
#> [[27]]
#> [1] 32
#> 
#> [[28]]
#> [1] 33
#> 
#> [[29]]
#> [1] 34
#> 
#> [[30]]
#> [1] 35
#> 
#> [[31]]
#> [1] 36
#> 
#> [[32]]
#> [1] 37
#> 
#> [[33]]
#> [1] 38
#> 
#> [[34]]
#> [1] 39
#> 
#> [[35]]
#> [1] 40
#> 
#> [[36]]
#> [1] 41
#> 
#> [[37]]
#> [1] 42
#> 
#> [[38]]
#> [1] 43
#> 
#> [[39]]
#> [1] 44
#> 
#> [[40]]
#> [1] 45
#> 
#> [[41]]
#> [1] 46
#> 
#> [[42]]
#> [1] 47
#> 
#> [[43]]
#> [1] 48
#> 
# above is equivalent to obj[sapply(obj, \(x) x > 5)]

#############################################################################

# data.frame-like objects ====

obj <- data.frame(a = 1:10, b = letters[1:10], c = 11:20, d = factor(letters[1:10]))
print(obj)
#>     a b  c d
#> 1   1 a 11 a
#> 2   2 b 12 b
#> 3   3 c 13 c
#> 4   4 d 14 d
#> 5   5 e 15 e
#> 6   6 f 16 f
#> 7   7 g 17 g
#> 8   8 h 18 h
#> 9   9 i 19 i
#> 10 10 j 20 j
sbt_x(obj, 1:3, 1:3)
#>   a b  c
#> 1 1 a 11
#> 2 2 b 12
#> 3 3 c 13
sbt_x(obj, ~ (a > 5) & (c < 19), is.numeric)
#>   a  c
#> 1 6 16
#> 2 7 17
#> 3 8 18