Methods to Extract, Exchange, Exclude, or Duplicate Subsets of an Object
Source:R/generic_x.R
generic_x.RdMethods to extract, exchange, exclude,
or duplicate (i.e. repeat x times) subsets of an object.
Usage
ii_x(x, i = NULL, use = 1, ...)
ss_x(x, s = NULL, use = Inf, ...)
tt_x(x, row = NULL, col = NULL, use = 1:2, ...)
# Default S3 method
ii_x(x, i = NULL, use = 1, ...)
# Default S3 method
ss_x(x, s = NULL, use = Inf, ...)
# Default S3 method
tt_x(x, row = NULL, col = NULL, use = 1:2, ...)
# S3 method for class 'data.frame'
tt_x(x, row = NULL, col = NULL, use = 1:2, ...)Arguments
- x
- i, use, s, row, col
See squarebrackets_index_args.
Duplicates are allowed, resulting in duplicated indices.
An empty index selection results in an empty object of length 0.- ...
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, n(1:3), 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]
ss_x(obj, n(c("a", "a")), 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, n(1:3, 1:2), 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]
#############################################################################
# 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, n(1:3), 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] 3 1 8 6 7 10 2 5 9 4
#>
#> [[2]]
#> [1] -1.2176410 0.8419704 -1.6192106 0.2641659 0.0973107 1.7888654
#> [7] -0.9886828 1.8909032 1.2008275 -1.8132110
#>
#> [[3]]
#> [1] 8 7 2 5 10 9 4 3 6 1
#>
#> [[4]]
#> [1] 0.37043223 -0.48267678 0.10128448 0.03907731 1.06482570 -3.70984947
#> [7] 1.60017834 1.17966984 -2.65051546 -0.77477614
#>
#> [[5]]
#> [1] 9 2 7 5 3 10 4 6 1 8
#>
#> [[6]]
#> [1] 0.6058778 -0.3002806 1.0104924 -1.7693832 0.6722027 -0.8262573
#> [7] -0.2918959 -0.7778171 -0.3485538 1.0117173
#>
#> [[7]]
#> [1] 1 9 8 2 7 3 10 6 5 4
#>
#> [[8]]
#> [1] -0.314772157 -0.005381841 -1.358302802 1.572927578 -1.199384161
#> [6] -0.072655731 -0.024083976 1.584497498 0.005675627 -0.648204484
#>
# above is equivalent to obj[sapply(obj, is.numeric)]
ss_x(obj, n(c("a", "a")), 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, n(1:3, 1:2), 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
tt_x(obj, 1:3, 1:3)
#> a b c
#> 1 1 a 11
#> 2 2 b 12
#> 3 3 c 13
tt_x(obj, with(obj, (a > 5) & (c < 19)), is.numeric)
#> a c
#> 1 6 16
#> 2 7 17
#> 3 8 18