有时我们想创建重复的值，这在不同的情况下很有用，例如测量常量对多个变量的影响。列表值也可以复制以用于类似的分析目的。可以使用rep函数创建列表列表的复制。例如，如果我们有一个名为x的列表，并且想要创建此列表的五次复制列表，则可以使用代码rep（list(x)，5）。
> List1<-list(x1=1:50,x2=letters[1:20]) > List1
输出结果
$x1 [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 [26] 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 $x2 [1] "a" "b" "c" "d" "e" "f" "g" "h" "i" "j" "k" "l" "m" "n" "o" "p" "q" "r" "s" [20] "t"
> rep(list(List1),5)
输出结果
[[1]] [[1]]$x1 [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 [26] 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 [[1]]$x2 [1] "a" "b" "c" "d" "e" "f" "g" "h" "i" "j" "k" "l" "m" "n" "o" "p" "q" "r" "s" [20] "t" [[2]] [[2]]$x1 [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 [26] 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 [[2]]$x2 [1] "a" "b" "c" "d" "e" "f" "g" "h" "i" "j" "k" "l" "m" "n" "o" "p" "q" "r" "s" [20] "t" [[3]] [[3]]$x1 [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 [26] 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 [[3]]$x2 [1] "a" "b" "c" "d" "e" "f" "g" "h" "i" "j" "k" "l" "m" "n" "o" "p" "q" "r" "s" [20] "t" [[4]] [[4]]$x1 [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 [26] 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 [[4]]$x2 [1] "a" "b" "c" "d" "e" "f" "g" "h" "i" "j" "k" "l" "m" "n" "o" "p" "q" "r" "s" [20] "t" [[5]] [[5]]$x1 [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 [26] 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 [[5]]$x2 [1] "a" "b" "c" "d" "e" "f" "g" "h" "i" "j" "k" "l" "m" "n" "o" "p" "q" "r" "s" [20] "t"
> rep(list(List1),10)
输出结果
[[1]] [[1]]$x1 [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 [26] 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 [[1]]$x2 [1] "a" "b" "c" "d" "e" "f" "g" "h" "i" "j" "k" "l" "m" "n" "o" "p" "q" "r" "s" [20] "t" [[2]] [[2]]$x1 [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 [26] 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 [[2]]$x2 [1] "a" "b" "c" "d" "e" "f" "g" "h" "i" "j" "k" "l" "m" "n" "o" "p" "q" "r" "s" [20] "t" [[3]] [[3]]$x1 [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 [26] 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 [[3]]$x2 [1] "a" "b" "c" "d" "e" "f" "g" "h" "i" "j" "k" "l" "m" "n" "o" "p" "q" "r" "s" [20] "t" [[4]] [[4]]$x1 [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 [26] 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 [[4]]$x2 [1] "a" "b" "c" "d" "e" "f" "g" "h" "i" "j" "k" "l" "m" "n" "o" "p" "q" "r" "s" [20] "t" [[5]] [[5]]$x1 [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 [26] 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 [[5]]$x2 [1] "a" "b" "c" "d" "e" "f" "g" "h" "i" "j" "k" "l" "m" "n" "o" "p" "q" "r" "s" [20] "t" [[6]] [[6]]$x1 [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 [26] 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 [[6]]$x2 [1] "a" "b" "c" "d" "e" "f" "g" "h" "i" "j" "k" "l" "m" "n" "o" "p" "q" "r" "s" [20] "t" [[7]] [[7]]$x1 [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 [26] 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 [[7]]$x2 [1] "a" "b" "c" "d" "e" "f" "g" "h" "i" "j" "k" "l" "m" "n" "o" "p" "q" "r" "s" [20] "t" [[8]] [[8]]$x1 [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 [26] 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 [[8]]$x2 [1] "a" "b" "c" "d" "e" "f" "g" "h" "i" "j" "k" "l" "m" "n" "o" "p" "q" "r" "s" [20] "t" [[9]] [[9]]$x1 [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 [26] 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 [[9]]$x2 [1] "a" "b" "c" "d" "e" "f" "g" "h" "i" "j" "k" "l" "m" "n" "o" "p" "q" "r" "s" [20] "t" [[10]] [[10]]$x1 [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 [26] 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 [[10]]$x2 [1] "a" "b" "c" "d" "e" "f" "g" "h" "i" "j" "k" "l" "m" "n" "o" "p" "q" "r" "s" [20] "t"
> List2<-list(y1=rnorm(20,5,2.4),y2=rpois(20,3),y3=rexp(20,1.4),y4=runif(20,2,5)) > List2
输出结果
$y1 [1] 3.079458 3.589123 3.902639 5.963523 5.244280 3.549689 6.566025 6.325017 [9] 5.332337 1.640506 5.265804 3.886971 3.203786 2.532067 4.734062 2.680252 [17] 4.223528 9.250713 5.815792 4.531292 $y2 [1] 1 3 2 6 3 3 4 4 3 2 4 3 1 4 2 1 8 5 3 4 $y3 [1] 0.96467045 0.82096525 0.36900807 0.65093944 0.08277442 0.44907291 [7] 0.05562078 1.60547741 1.31813850 0.40487347 0.53284797 0.47320076 [13] 0.41547343 0.01057435 1.11501319 0.31536054 0.28896671 0.51575956 [19] 0.32843798 0.08961490 $y4 [1] 3.851959 2.828836 3.249421 2.202290 3.962181 3.891896 4.700026 4.652121 [9] 3.936827 4.678050 3.325526 4.656404 4.971151 2.315932 3.841990 3.823890 [17] 3.140251 2.831781 2.375118 2.396929
> rep(list(List2),4)
输出结果
[[1]] [[1]]$y1 [1] 3.079458 3.589123 3.902639 5.963523 5.244280 3.549689 6.566025 6.325017 [9] 5.332337 1.640506 5.265804 3.886971 3.203786 2.532067 4.734062 2.680252 [17] 4.223528 9.250713 5.815792 4.531292 [[1]]$y2 [1] 1 3 2 6 3 3 4 4 3 2 4 3 1 4 2 1 8 5 3 4 [[1]]$y3 [1] 0.96467045 0.82096525 0.36900807 0.65093944 0.08277442 0.44907291 [7] 0.05562078 1.60547741 1.31813850 0.40487347 0.53284797 0.47320076 [13] 0.41547343 0.01057435 1.11501319 0.31536054 0.28896671 0.51575956 [19] 0.32843798 0.08961490 [[1]]$y4 [1] 3.851959 2.828836 3.249421 2.202290 3.962181 3.891896 4.700026 4.652121 [9] 3.936827 4.678050 3.325526 4.656404 4.971151 2.315932 3.841990 3.823890 [17] 3.140251 2.831781 2.375118 2.396929 [[2]] [[2]]$y1 [1] 3.079458 3.589123 3.902639 5.963523 5.244280 3.549689 6.566025 6.325017 [9] 5.332337 1.640506 5.265804 3.886971 3.203786 2.532067 4.734062 2.680252 [17] 4.223528 9.250713 5.815792 4.531292 [[2]]$y2 [1] 1 3 2 6 3 3 4 4 3 2 4 3 1 4 2 1 8 5 3 4 [[2]]$y3 [1] 0.96467045 0.82096525 0.36900807 0.65093944 0.08277442 0.44907291 [7] 0.05562078 1.60547741 1.31813850 0.40487347 0.53284797 0.47320076 [13] 0.41547343 0.01057435 1.11501319 0.31536054 0.28896671 0.51575956 [19] 0.32843798 0.08961490 [[2]]$y4 [1] 3.851959 2.828836 3.249421 2.202290 3.962181 3.891896 4.700026 4.652121 [9] 3.936827 4.678050 3.325526 4.656404 4.971151 2.315932 3.841990 3.823890 [17] 3.140251 2.831781 2.375118 2.396929 [[3]] [[3]]$y1 [1] 3.079458 3.589123 3.902639 5.963523 5.244280 3.549689 6.566025 6.325017 [9] 5.332337 1.640506 5.265804 3.886971 3.203786 2.532067 4.734062 2.680252 [17] 4.223528 9.250713 5.815792 4.531292 [[3]]$y2 [1] 1 3 2 6 3 3 4 4 3 2 4 3 1 4 2 1 8 5 3 4 [[3]]$y3 [1] 0.96467045 0.82096525 0.36900807 0.65093944 0.08277442 0.44907291 [7] 0.05562078 1.60547741 1.31813850 0.40487347 0.53284797 0.47320076 [13] 0.41547343 0.01057435 1.11501319 0.31536054 0.28896671 0.51575956 [19] 0.32843798 0.08961490 [[3]]$y4 [1] 3.851959 2.828836 3.249421 2.202290 3.962181 3.891896 4.700026 4.652121 [9] 3.936827 4.678050 3.325526 4.656404 4.971151 2.315932 3.841990 3.823890 [17] 3.140251 2.831781 2.375118 2.396929 [[4]] [[4]]$y1 [1] 3.079458 3.589123 3.902639 5.963523 5.244280 3.549689 6.566025 6.325017 [9] 5.332337 1.640506 5.265804 3.886971 3.203786 2.532067 4.734062 2.680252 [17] 4.223528 9.250713 5.815792 4.531292 [[4]]$y2 [1] 1 3 2 6 3 3 4 4 3 2 4 3 1 4 2 1 8 5 3 4 [[4]]$y3 [1] 0.96467045 0.82096525 0.36900807 0.65093944 0.08277442 0.44907291 [7] 0.05562078 1.60547741 1.31813850 0.40487347 0.53284797 0.47320076 [13] 0.41547343 0.01057435 1.11501319 0.31536054 0.28896671 0.51575956 [19] 0.32843798 0.08961490 [[4]]$y4 [1] 3.851959 2.828836 3.249421 2.202290 3.962181 3.891896 4.700026 4.652121 [9] 3.936827 4.678050 3.325526 4.656404 4.971151 2.315932 3.841990 3.823890 [17] 3.140251 2.831781 2.375118 2.396929