sub- Subtitulo
## Classes 'tbl_df', 'tbl' and 'data.frame': 234 obs. of 11 variables:
## $ manufacturer: chr "audi" "audi" "audi" "audi" ...
## $ model : chr "a4" "a4" "a4" "a4" ...
## $ displ : num 1.8 1.8 2 2 2.8 2.8 3.1 1.8 1.8 2 ...
## $ year : int 1999 1999 2008 2008 1999 1999 2008 1999 1999 2008 ...
## $ cyl : int 4 4 4 4 6 6 6 4 4 4 ...
## $ trans : chr "auto(l5)" "manual(m5)" "manual(m6)" "auto(av)" ...
## $ drv : chr "f" "f" "f" "f" ...
## $ cty : int 18 21 20 21 16 18 18 18 16 20 ...
## $ hwy : int 29 29 31 30 26 26 27 26 25 28 ...
## $ fl : chr "p" "p" "p" "p" ...
## $ class : chr "compact" "compact" "compact" "compact" ...
## # A tibble: 1 x 11
## manufacturer model displ year cyl trans drv cty hwy fl class
## <chr> <chr> <dbl> <int> <int> <chr> <chr> <int> <int> <chr> <chr>
## 1 audi a4 2 2008 4 manual(m6) f 20 31 p compa~
## # A tibble: 117 x 11
## manufacturer model displ year cyl trans drv cty hwy fl class
## <chr> <chr> <dbl> <int> <int> <chr> <chr> <int> <int> <chr> <chr>
## 1 audi a4 2 2008 4 manua~ f 20 31 p comp~
## 2 audi a4 2 2008 4 auto(~ f 21 30 p comp~
## 3 audi a4 3.1 2008 6 auto(~ f 18 27 p comp~
## 4 audi a4 quatt~ 2 2008 4 manua~ 4 20 28 p comp~
## 5 audi a4 quatt~ 2 2008 4 auto(~ 4 19 27 p comp~
## 6 audi a4 quatt~ 3.1 2008 6 auto(~ 4 17 25 p comp~
## 7 audi a4 quatt~ 3.1 2008 6 manua~ 4 15 25 p comp~
## 8 audi a6 quatt~ 3.1 2008 6 auto(~ 4 17 25 p mids~
## 9 audi a6 quatt~ 4.2 2008 8 auto(~ 4 16 23 p mids~
## 10 chevrolet c1500 su~ 5.3 2008 8 auto(~ r 14 20 r suv
## # ... with 107 more rows
## # A tibble: 117 x 11
## manufacturer model displ year cyl trans drv cty hwy fl
## <chr> <chr> <dbl> <int> <dbl> <chr> <chr> <dbl> <dbl> <chr>
## 1 audi a4 -1.28 2008 -1.26 manu~ f 0.813 1.29 p
## 2 audi a4 -1.28 2008 -1.26 auto~ f 1.06 1.12 p
## 3 audi a4 -0.432 2008 -0.0515 auto~ f 0.320 0.607 p
## 4 audi a4 q~ -1.28 2008 -1.26 manu~ 4 0.813 0.778 p
## 5 audi a4 q~ -1.28 2008 -1.26 auto~ 4 0.567 0.607 p
## 6 audi a4 q~ -0.432 2008 -0.0515 auto~ 4 0.0737 0.265 p
## 7 audi a4 q~ -0.432 2008 -0.0515 manu~ 4 -0.419 0.265 p
## 8 audi a6 q~ -0.432 2008 -0.0515 auto~ 4 0.0737 0.265 p
## 9 audi a6 q~ 0.413 2008 1.15 auto~ 4 -0.173 -0.0775 p
## 10 chevrolet c150~ 1.26 2008 1.15 auto~ r -0.666 -0.590 r
## # ... with 107 more rows, and 1 more variable: class <chr>
## Warning in dist(v2008n): NAs introducidos por coerción
## 1 2 3 4 5 6 7
## 1 0.0000000 0.4450240 2.5171979 0.7609059 1.0784291 2.8794930 3.2296947
## 2 0.4450240 0.0000000 2.5601849 0.6253311 1.0553861 2.9188780 3.3457673
## 3 2.5171979 2.5601849 0.0000000 2.3176113 2.2149142 0.6253311 1.2086202
## 4 0.7609059 0.6253311 2.3176113 0.0000000 0.4062495 2.3371184 2.6916529
## 5 1.0784291 1.0553861 2.2149142 0.4062495 0.0000000 2.1533530 2.4441939
## 6 2.8794930 2.9188780 0.6253311 2.3371184 2.1533530 0.0000000 0.6676214
## 8 9 10 11 12 13 14 15
## 1 2.8794930 5.034396 6.289216 7.365874 6.289216 7.400579 6.283506 6.433780
## 2 2.9188780 5.058025 6.319936 7.402867 6.319936 7.436720 6.333001 6.492823
## 3 0.6253311 2.517198 3.845068 5.030765 3.845068 5.038101 4.036755 4.142097
## 4 2.3371184 4.362362 5.990608 6.975623 5.990608 7.067089 6.175070 6.297348
## 5 2.1533530 4.215176 5.783732 6.691628 5.783732 6.825472 6.082967 6.175070
## 6 0.0000000 2.074281 3.507791 4.554090 3.507791 4.647115 3.986759 4.028779
## 16 17 18 19 20 21 22 23
## 1 7.197318 6.405767 7.508597 0.8984822 2.6299846 3.0560587 3.1228215 3.1228215
## 2 7.241268 6.425928 7.536359 0.5846307 2.7188975 3.1139245 3.1387452 3.1387452
## 3 4.976076 3.968566 5.188147 2.5601184 0.6822031 0.7233032 0.8744785 0.8744785
## 4 7.048296 5.551352 6.480500 1.0001315 2.5930342 2.8264017 2.7620817 2.7620817
## 5 6.929987 5.355411 6.217325 1.4108489 2.5525815 2.6696398 2.5515097 2.5515097
## 6 4.855729 3.292952 4.290560 2.9642772 1.1709342 0.6240609 0.3411015 0.3411015
## 24 25 26 27 28 29 30 31
## 1 5.369932 3.697125 3.828460 4.423062 4.758426 6.029271 6.029271 7.853517
## 2 5.444247 3.729238 3.859479 4.422074 4.772070 6.050686 6.050686 7.897654
## 3 3.610701 1.483709 1.617884 2.405990 2.796144 3.575529 3.575529 5.642090
## 4 4.900138 3.340634 3.485427 3.595209 3.894846 5.188068 5.188068 6.765290
## 5 4.515223 3.105615 3.260861 3.318329 3.595209 4.977848 4.977848 6.462759
## 6 2.997157 1.014040 1.201845 1.663066 2.004958 2.893547 2.893547 4.650940
## 32 33 34 35 36 37 38 39
## 1 6.437050 7.853517 6.437050 6.929775 6.731043 7.853517 6.437050 6.437050
## 2 6.457895 7.897654 6.457895 6.958394 6.761251 7.897654 6.457895 6.457895
## 3 4.037791 5.642090 4.037791 4.532495 4.373280 5.642090 4.037791 4.037791
## 4 5.523495 6.765290 5.523495 6.026535 5.780437 6.765290 5.523495 5.523495
## 5 5.285322 6.462759 5.285322 5.818245 5.523495 6.462759 5.285322 5.285322
## 6 3.263996 4.650940 3.263996 3.794896 3.545122 4.650940 3.263996 3.263996
## 40 41 42 43 44 45 46 47
## 1 6.731043 7.853517 7.053986 6.874408 4.920994 6.115648 6.383287 6.854829
## 2 6.761251 7.897654 7.073013 6.922599 4.974164 6.158512 6.404308 6.874408
## 3 4.373280 5.642090 4.665382 4.483600 2.917783 3.685742 3.987557 4.455792
## 4 5.780437 6.765290 6.119225 6.543596 4.099120 5.271646 5.471254 5.927610
## 5 5.523495 6.462759 5.905129 6.292109 3.800374 5.042848 5.230702 5.706328
## 6 3.545122 4.650940 3.899406 4.071020 2.142575 2.969286 3.212120 3.689482
## 48 49 50 51 52 53 54 55
## 1 3.348461 3.700289 5.389389 5.489912 6.358110 2.333400 2.236779 1.949292
## 2 3.401356 3.749571 5.436122 5.524163 6.388499 2.103378 2.123059 1.889807
## 3 1.118677 1.472152 2.890911 2.989372 3.920429 4.135984 4.142369 3.926948
## 4 3.140262 3.401356 5.151369 5.219602 6.062896 2.679867 2.740818 2.511701
## 5 2.999946 3.191065 4.975358 5.033207 5.858573 3.123506 3.174362 2.933548
## 6 1.057224 1.118677 2.629985 2.690441 3.590239 4.630131 4.662423 4.442123
## 56 57 58 59 60 61 62
## 1 0.6253311 0.6372785 0.5846307 2.4716504 0.7609059 1.0145412 2.8620679
## 2 0.2536353 0.4561552 0.5219276 2.4876792 0.6253311 0.8442116 2.8794339
## 3 2.4965761 2.3702738 2.4634354 0.5000657 2.3176113 2.3036908 0.9595680
## 4 0.4450240 0.7740262 0.9595680 2.3516117 0.0000000 0.2536353 2.4634354
## 5 0.8900480 1.1497466 1.3312525 2.3368126 0.4450240 0.3656713 2.2247742
## 6 2.8179551 2.7538155 2.8794339 1.0797496 2.5601849 2.4965761 0.5219276
## 63 64 65 66 67 68 69 70
## 1 3.0211655 2.8620679 3.3035235 4.423062 7.853517 6.029271 6.929775 8.004867
## 2 3.0813274 2.8794339 3.2795809 4.422074 7.897654 6.050686 6.958394 8.030913
## 3 1.1497466 0.9595680 1.3247611 2.405990 5.642090 3.575529 4.532495 5.685673
## 4 2.6466058 2.4634354 2.5849530 3.595209 6.765290 5.188068 6.026535 6.957917
## 5 2.3702738 2.2247742 2.3526867 3.318329 6.462759 4.977848 5.818245 6.713483
## 6 0.6372785 0.5219276 0.7023666 1.663066 4.650940 2.893547 3.794896 4.787196
## 71 72 73 74 75 76 77 78
## 1 6.206305 6.301958 6.874408 4.920994 6.115648 1.2363497 1.262098 2.6995635
## 2 6.259642 6.354492 6.922599 4.974164 6.158512 0.9614125 1.057027 2.6904411
## 3 3.846646 3.926948 4.483600 2.917783 3.685742 2.8352951 2.935622 0.5846307
## 4 5.329118 5.421857 6.543596 4.099120 5.271646 1.4517363 1.599329 2.5144940
## 5 5.070452 5.167835 6.292109 3.800374 5.042848 1.8691877 2.018128 2.4747997
## 6 3.064206 3.147944 4.071020 2.142575 2.969286 3.2857855 3.410673 1.0001315
## 79 80 81 82 83 84 85 86
## 1 2.8047497 2.9281838 4.582387 7.005581 2.9199235 5.604624 1.1637934 1.6657574
## 2 2.7728666 2.8753725 4.624460 7.052876 2.9787374 5.648682 1.0187318 1.5710680
## 3 0.6372785 0.7740262 2.518939 4.620728 0.8375968 3.207035 2.0497755 2.0143874
## 4 2.5525816 2.6148283 3.800374 6.099135 2.8190380 5.447465 0.5696871 0.9299706
## 5 2.4877629 2.5262536 3.523207 5.874473 2.7586518 5.330780 0.6183558 0.6966854
## 6 0.8984822 0.8619394 1.794692 3.853751 1.1618652 3.102677 2.0670995 1.8711804
## 87 88 89 90 91 92 93 94
## 1 1.3904650 2.230955 1.6251253 1.1637934 1.6657574 1.1637934 4.280650 6.300580
## 2 1.2198896 2.163509 1.4377442 1.0187318 1.5710680 1.0187318 4.263385 6.300689
## 3 2.0654080 2.167028 2.1116115 2.0497755 2.0143874 2.0497755 2.177261 3.885913
## 4 0.6966854 1.434182 0.8679953 0.5696871 0.9299706 0.5696871 3.494890 5.390771
## 5 0.6602825 1.113602 0.7725284 0.6183558 0.6966854 0.6183558 3.260385 5.168065
## 6 2.0278247 1.838876 2.0145630 2.0670995 1.8711804 2.0670995 1.526264 3.142239
## 95 96 97 98 99 100 101 102
## 1 0.5846307 0.5846307 2.6148283 0.5846307 0.8619394 2.6382794 3.305408 2.427977
## 2 0.5219276 0.5219276 2.6299846 0.5219276 0.6372785 2.6793244 3.123506 2.236779
## 3 2.4634354 2.4634354 0.6372785 2.4634354 2.6466058 0.2280776 5.020059 4.251039
## 4 0.9595680 0.9595680 2.5016693 0.9595680 1.1497466 2.4485822 3.717608 2.831605
## 5 1.3312525 1.3312525 2.4877629 1.3312525 1.5623094 2.3516117 4.161257 3.274333
## 6 2.8794339 2.8794339 1.1497466 2.8794339 3.0813275 0.6656263 5.553340 4.760294
## 103 104 105 106 107 108 109 110
## 1 6.929775 2.655462 4.755553 4.280650 0.6253311 0.8900480 0.8900480 0.6253311
## 2 6.958394 2.625616 4.741085 4.263385 0.2536353 0.4450240 0.4450240 0.2536353
## 3 4.532495 2.269054 2.732697 2.177261 2.4965761 2.6774803 2.6774803 2.4965761
## 4 6.026535 1.861135 3.891921 3.494890 0.4450240 0.7740755 0.7740755 0.4450240
## 5 5.818245 1.522162 3.622928 3.260385 0.8900480 1.2086202 1.2086202 0.8900480
## 6 3.794896 1.822452 1.987559 1.526264 2.8179551 3.0239561 3.0239561 2.8179551
## 111 112 113 114 115 116 117
## 1 1.231177 1.231177 1.305272 1.175619 0.8442116 0.6253311 3.0560587
## 2 1.090453 1.090453 1.231177 1.150132 0.8900480 0.2536353 3.1139245
## 3 1.651839 1.651839 1.366383 1.435268 2.2293891 2.4965761 0.7233032
## 4 1.150132 1.150132 1.060546 1.090453 0.3656713 0.4450240 2.8264017
## 5 1.384537 1.384537 1.150132 1.231177 0.2536353 0.8900480 2.6696398
## 6 2.106312 2.106312 1.746490 1.870974 2.4261017 2.8179551 0.6240609
## Var1 Var2 value
## 1 1 1 0.0000000
## 2 2 1 0.4450240
## 3 3 1 2.5171979
## 4 4 1 0.7609059
## 5 5 1 1.0784291
## 6 6 1 2.8794930
## Warning: Use of `matrizLong$Var1` is discouraged. Use `Var1` instead.
## Warning: Use of `matrizLong$Var2` is discouraged. Use `Var2` instead.
## Warning: Use of `matrizLong$value` is discouraged. Use `value` instead.
