TAREA 1
Isabel Ordenes, Nicolas Mancilla
2025-05-24
#TAREA PARTE1
vector_1 <-c(1:999)
vector_1## [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
## [19] 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
## [37] 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54
## [55] 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72
## [73] 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90
## [91] 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108
## [109] 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126
## [127] 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144
## [145] 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162
## [163] 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180
## [181] 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198
## [199] 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216
## [217] 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234
## [235] 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252
## [253] 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270
## [271] 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288
## [289] 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306
## [307] 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324
## [325] 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342
## [343] 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360
## [361] 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378
## [379] 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396
## [397] 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414
## [415] 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432
## [433] 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450
## [451] 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468
## [469] 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486
## [487] 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504
## [505] 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522
## [523] 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540
## [541] 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558
## [559] 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576
## [577] 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594
## [595] 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612
## [613] 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630
## [631] 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648
## [649] 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666
## [667] 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684
## [685] 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702
## [703] 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720
## [721] 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738
## [739] 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756
## [757] 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774
## [775] 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792
## [793] 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810
## [811] 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828
## [829] 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846
## [847] 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864
## [865] 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882
## [883] 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900
## [901] 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918
## [919] 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936
## [937] 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951 952 953 954
## [955] 955 956 957 958 959 960 961 962 963 964 965 966 967 968 969 970 971 972
## [973] 973 974 975 976 977 978 979 980 981 982 983 984 985 986 987 988 989 990
## [991] 991 992 993 994 995 996 997 998 999vector_2 <-seq(1,2000,by=2)
vector_2## [1] 1 3 5 7 9 11 13 15 17 19 21 23 25 27
## [15] 29 31 33 35 37 39 41 43 45 47 49 51 53 55
## [29] 57 59 61 63 65 67 69 71 73 75 77 79 81 83
## [43] 85 87 89 91 93 95 97 99 101 103 105 107 109 111
## [57] 113 115 117 119 121 123 125 127 129 131 133 135 137 139
## [71] 141 143 145 147 149 151 153 155 157 159 161 163 165 167
## [85] 169 171 173 175 177 179 181 183 185 187 189 191 193 195
## [99] 197 199 201 203 205 207 209 211 213 215 217 219 221 223
## [113] 225 227 229 231 233 235 237 239 241 243 245 247 249 251
## [127] 253 255 257 259 261 263 265 267 269 271 273 275 277 279
## [141] 281 283 285 287 289 291 293 295 297 299 301 303 305 307
## [155] 309 311 313 315 317 319 321 323 325 327 329 331 333 335
## [169] 337 339 341 343 345 347 349 351 353 355 357 359 361 363
## [183] 365 367 369 371 373 375 377 379 381 383 385 387 389 391
## [197] 393 395 397 399 401 403 405 407 409 411 413 415 417 419
## [211] 421 423 425 427 429 431 433 435 437 439 441 443 445 447
## [225] 449 451 453 455 457 459 461 463 465 467 469 471 473 475
## [239] 477 479 481 483 485 487 489 491 493 495 497 499 501 503
## [253] 505 507 509 511 513 515 517 519 521 523 525 527 529 531
## [267] 533 535 537 539 541 543 545 547 549 551 553 555 557 559
## [281] 561 563 565 567 569 571 573 575 577 579 581 583 585 587
## [295] 589 591 593 595 597 599 601 603 605 607 609 611 613 615
## [309] 617 619 621 623 625 627 629 631 633 635 637 639 641 643
## [323] 645 647 649 651 653 655 657 659 661 663 665 667 669 671
## [337] 673 675 677 679 681 683 685 687 689 691 693 695 697 699
## [351] 701 703 705 707 709 711 713 715 717 719 721 723 725 727
## [365] 729 731 733 735 737 739 741 743 745 747 749 751 753 755
## [379] 757 759 761 763 765 767 769 771 773 775 777 779 781 783
## [393] 785 787 789 791 793 795 797 799 801 803 805 807 809 811
## [407] 813 815 817 819 821 823 825 827 829 831 833 835 837 839
## [421] 841 843 845 847 849 851 853 855 857 859 861 863 865 867
## [435] 869 871 873 875 877 879 881 883 885 887 889 891 893 895
## [449] 897 899 901 903 905 907 909 911 913 915 917 919 921 923
## [463] 925 927 929 931 933 935 937 939 941 943 945 947 949 951
## [477] 953 955 957 959 961 963 965 967 969 971 973 975 977 979
## [491] 981 983 985 987 989 991 993 995 997 999 1001 1003 1005 1007
## [505] 1009 1011 1013 1015 1017 1019 1021 1023 1025 1027 1029 1031 1033 1035
## [519] 1037 1039 1041 1043 1045 1047 1049 1051 1053 1055 1057 1059 1061 1063
## [533] 1065 1067 1069 1071 1073 1075 1077 1079 1081 1083 1085 1087 1089 1091
## [547] 1093 1095 1097 1099 1101 1103 1105 1107 1109 1111 1113 1115 1117 1119
## [561] 1121 1123 1125 1127 1129 1131 1133 1135 1137 1139 1141 1143 1145 1147
## [575] 1149 1151 1153 1155 1157 1159 1161 1163 1165 1167 1169 1171 1173 1175
## [589] 1177 1179 1181 1183 1185 1187 1189 1191 1193 1195 1197 1199 1201 1203
## [603] 1205 1207 1209 1211 1213 1215 1217 1219 1221 1223 1225 1227 1229 1231
## [617] 1233 1235 1237 1239 1241 1243 1245 1247 1249 1251 1253 1255 1257 1259
## [631] 1261 1263 1265 1267 1269 1271 1273 1275 1277 1279 1281 1283 1285 1287
## [645] 1289 1291 1293 1295 1297 1299 1301 1303 1305 1307 1309 1311 1313 1315
## [659] 1317 1319 1321 1323 1325 1327 1329 1331 1333 1335 1337 1339 1341 1343
## [673] 1345 1347 1349 1351 1353 1355 1357 1359 1361 1363 1365 1367 1369 1371
## [687] 1373 1375 1377 1379 1381 1383 1385 1387 1389 1391 1393 1395 1397 1399
## [701] 1401 1403 1405 1407 1409 1411 1413 1415 1417 1419 1421 1423 1425 1427
## [715] 1429 1431 1433 1435 1437 1439 1441 1443 1445 1447 1449 1451 1453 1455
## [729] 1457 1459 1461 1463 1465 1467 1469 1471 1473 1475 1477 1479 1481 1483
## [743] 1485 1487 1489 1491 1493 1495 1497 1499 1501 1503 1505 1507 1509 1511
## [757] 1513 1515 1517 1519 1521 1523 1525 1527 1529 1531 1533 1535 1537 1539
## [771] 1541 1543 1545 1547 1549 1551 1553 1555 1557 1559 1561 1563 1565 1567
## [785] 1569 1571 1573 1575 1577 1579 1581 1583 1585 1587 1589 1591 1593 1595
## [799] 1597 1599 1601 1603 1605 1607 1609 1611 1613 1615 1617 1619 1621 1623
## [813] 1625 1627 1629 1631 1633 1635 1637 1639 1641 1643 1645 1647 1649 1651
## [827] 1653 1655 1657 1659 1661 1663 1665 1667 1669 1671 1673 1675 1677 1679
## [841] 1681 1683 1685 1687 1689 1691 1693 1695 1697 1699 1701 1703 1705 1707
## [855] 1709 1711 1713 1715 1717 1719 1721 1723 1725 1727 1729 1731 1733 1735
## [869] 1737 1739 1741 1743 1745 1747 1749 1751 1753 1755 1757 1759 1761 1763
## [883] 1765 1767 1769 1771 1773 1775 1777 1779 1781 1783 1785 1787 1789 1791
## [897] 1793 1795 1797 1799 1801 1803 1805 1807 1809 1811 1813 1815 1817 1819
## [911] 1821 1823 1825 1827 1829 1831 1833 1835 1837 1839 1841 1843 1845 1847
## [925] 1849 1851 1853 1855 1857 1859 1861 1863 1865 1867 1869 1871 1873 1875
## [939] 1877 1879 1881 1883 1885 1887 1889 1891 1893 1895 1897 1899 1901 1903
## [953] 1905 1907 1909 1911 1913 1915 1917 1919 1921 1923 1925 1927 1929 1931
## [967] 1933 1935 1937 1939 1941 1943 1945 1947 1949 1951 1953 1955 1957 1959
## [981] 1961 1963 1965 1967 1969 1971 1973 1975 1977 1979 1981 1983 1985 1987
## [995] 1989 1991 1993 1995 1997 1999vector_3 <-rep(10,1000)
vector_3## [1] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [25] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [49] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [73] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [97] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [121] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [145] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [169] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [193] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [217] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [241] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [265] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [289] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [313] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [337] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [361] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [385] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [409] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [433] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [457] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [481] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [505] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [529] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [553] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [577] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [601] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [625] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [649] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [673] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [697] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [721] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [745] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [769] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [793] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [817] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [841] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [865] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [889] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [913] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [937] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [961] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [985] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10vector_4 <-rnorm(n=1000, mean=0, sd=1)
vector_4## [1] 0.947209389 0.075560624 -2.311060599 -1.089244000 0.200719515
## [6] 0.942240173 -0.242606021 0.213320614 0.589018016 -0.617703345
## [11] 0.067987712 0.420390132 0.823523161 1.848085024 2.345964213
## [16] -0.453980739 0.228549839 0.656376105 0.764070998 -0.811956601
## [21] -0.127929423 -0.340100451 0.064449351 0.215146558 -0.664229577
## [26] 1.447020521 0.008994752 -1.572090102 1.729165494 -0.047263332
## [31] 0.538363716 0.060958903 -1.196565460 -0.397422382 -0.163402577
## [36] -0.524816782 -0.069783558 1.212711243 -1.024638271 0.333604501
## [41] 0.038113632 1.302977629 -1.387507502 1.508412078 1.504046864
## [46] -2.123797624 0.685473604 1.295671388 0.416348399 -0.773915800
## [51] -0.488845745 1.294026824 -0.811429621 -1.627970723 -0.053516192
## [56] 0.804859362 1.343149006 0.718458845 0.429849828 -0.093168272
## [61] 0.649693464 -0.143535181 -0.594803315 0.425662320 -0.297761840
## [66] -0.420440622 -0.683188787 1.977889132 -0.444032947 0.548576154
## [71] -0.842966632 1.130278735 -0.221741452 0.456838000 0.171044498
## [76] 0.765324951 -1.315529532 1.008770111 -0.853513779 -1.214979508
## [81] -1.418191861 -0.111066583 0.664096675 0.696351524 -1.417942582
## [86] -0.040642332 -1.110379454 -1.617041916 0.464421549 -0.124340479
## [91] 0.455883478 0.589629361 1.469217863 -0.609735236 1.423038793
## [96] -0.431919992 0.574524669 -0.342435063 -0.297687806 -0.336804337
## [101] 0.050383517 -0.286286722 -0.181502686 -0.470437233 -0.128149710
## [106] 0.151375490 -0.215673684 -0.260875562 -1.693266072 -0.600077298
## [111] -0.138834727 1.020282362 0.717144444 0.698356973 0.590073039
## [116] 1.670219287 -0.316345758 0.225972512 -0.198312931 0.037474974
## [121] -0.081103907 -0.574661750 1.769700530 -2.205748754 2.740204617
## [126] -0.096763160 0.955478713 -1.884511869 1.881911146 2.667097320
## [131] 0.932322038 0.982575990 1.861677241 0.512690278 -0.857186292
## [136] 1.275286096 1.356394752 0.543932966 0.841888885 1.564532532
## [141] 1.289277274 -1.405389958 1.776108742 1.231859820 2.078971174
## [146] -0.490155275 -0.371147397 -0.727464757 0.516761900 0.936260454
## [151] 0.216202836 -0.264928545 -0.364479783 0.788401838 0.330426055
## [156] 0.820741547 1.003621119 -1.099739894 -0.231172388 -0.277483268
## [161] 0.751891916 0.010718495 0.876924899 1.674821808 0.729260839
## [166] 0.033628595 1.047691072 0.626243662 -0.406662882 0.213655806
## [171] 0.549141164 -0.576488935 -0.693832284 1.012312540 -0.270423850
## [176] -0.150740399 1.200689450 0.871649828 0.727925805 -0.510775214
## [181] -1.298959441 0.870301259 -0.158003496 -1.402136100 -0.778087592
## [186] -1.853200135 -0.634365251 0.134030000 1.460241926 1.288663864
## [191] -0.819242160 -1.660953329 -2.038096410 2.726182405 -0.725176704
## [196] -0.960296222 1.961918089 -0.360262389 -0.056758142 -0.809137392
## [201] 0.619410962 -0.885846056 0.726579550 0.507146750 1.347659348
## [206] -0.244160447 -0.577601903 -1.573287489 0.337754387 -0.274070580
## [211] -2.402015173 0.930821427 0.871072462 -2.093960110 -0.272214570
## [216] 0.380932967 -0.609255913 1.572952395 -1.046620738 0.960788752
## [221] -1.164144300 0.325377432 0.698959538 0.226694685 0.422286692
## [226] 1.700774732 0.636852726 1.564816407 0.383449211 -0.856648180
## [231] 0.147515903 1.768607537 -0.574783093 -0.389610411 1.449264524
## [236] -1.003028873 1.687436471 -1.337422833 -0.318739632 0.381169315
## [241] -0.502058986 0.320638894 1.439628005 -0.736810741 -0.924906674
## [246] 0.358260682 0.630375494 0.606681772 -1.127002549 0.475316605
## [251] -0.197956661 -1.115873296 -1.375137398 -0.891213942 -2.586065745
## [256] 0.697153819 -0.038860034 -0.128708832 -1.643677341 1.954962687
## [261] 2.196403745 0.305737748 -0.073212510 -1.034834850 0.849780063
## [266] -0.731198795 0.738597461 1.980457526 -1.466338624 0.207146471
## [271] 1.103208743 1.762108374 -0.246399015 0.289365043 1.189072884
## [276] 1.609282287 0.201738713 1.147729206 0.183091014 1.719655489
## [281] -0.864455173 -0.516517871 -1.197711305 -1.143392752 0.439453744
## [286] -0.653339674 0.991585151 -0.427910213 -0.736564978 0.272121578
## [291] 1.763129658 1.058615529 0.077147505 0.342270498 -0.416404167
## [296] -0.267262903 0.134759793 -1.265950695 0.372796826 0.940229831
## [301] 0.698873541 0.763936907 0.725641518 -0.683503295 -0.883524438
## [306] -0.644564182 0.254840403 -0.631450588 -0.206493272 0.527492153
## [311] -0.142738257 -1.120352138 -1.594597234 0.779978533 1.103865551
## [316] 0.923970368 -1.031146528 0.567295030 -1.096589900 0.894633443
## [321] 1.366645758 1.220576427 1.120130587 -1.606667545 2.979428826
## [326] 0.356559337 0.091957660 -1.823406994 0.478245085 1.368554705
## [331] -1.672500573 0.976934591 -1.046047321 -1.433915422 1.048738317
## [336] 1.163652028 -0.013344005 -0.128325876 -0.177198791 1.249302010
## [341] 2.007904815 -0.811345836 0.366354109 -0.232091164 1.322168731
## [346] -0.566855185 0.505962277 -0.889605875 0.273942806 1.251297758
## [351] 0.059017730 -0.799329767 -1.215542615 -0.552288959 0.708225127
## [356] 0.355477165 0.539654593 -1.712917111 1.900752865 -0.544744172
## [361] 0.411490407 1.181235467 0.471281494 -0.354631565 0.743235673
## [366] -0.551392724 -1.370252005 1.262453600 0.211203166 0.234280429
## [371] 0.141555331 0.900654458 -0.266590879 1.168637896 2.056059525
## [376] 1.767658541 -0.079496566 0.729128258 -2.150545697 0.048302743
## [381] 0.234945808 0.739029457 -0.918746715 -0.307372582 0.549012375
## [386] -0.042557970 0.301549533 -0.207015428 0.035643387 0.208186199
## [391] -1.054992212 0.064701320 1.378287252 1.607679945 -1.149849232
## [396] -1.318050118 0.188300487 0.993690714 0.099574302 -0.177612777
## [401] -0.118826034 0.076858814 -0.292826476 2.656714902 -1.659270874
## [406] -0.930871445 0.739212520 -0.845932868 1.777601349 -1.177906227
## [411] 0.522210823 0.135239066 0.742584708 -0.657374975 -1.927396633
## [416] 1.395364036 0.248107338 -0.792756144 1.678614607 -1.991398001
## [421] 0.751620243 -1.272313323 0.069184101 -0.353448135 -0.678062694
## [426] -2.373760234 0.310999564 1.794910265 -0.282918074 -0.042140526
## [431] 0.285045608 -0.371851882 2.065949008 -0.226075743 0.916013864
## [436] -0.729774052 0.625920769 0.628133775 0.887914471 -1.170594049
## [441] 0.222939810 0.066246384 -1.061971798 -1.239370832 -1.157821200
## [446] -0.637264748 3.186111209 -0.778773640 -1.305028974 1.364021016
## [451] -0.571105100 0.118752368 0.689970498 -1.387869054 -0.886881247
## [456] 0.157519267 -0.610033031 -1.648662584 0.946939709 0.724054352
## [461] 0.057364788 0.160223240 -0.024756842 0.714303474 0.092463375
## [466] 1.828965727 0.770574474 0.407922005 -0.189086638 -0.915395809
## [471] 1.665582502 1.417904901 -0.137777095 0.215903111 1.907336214
## [476] 0.402366807 -2.290146031 0.378313809 -0.428138896 -0.335685979
## [481] 0.176623329 0.602626777 -0.396960718 -1.951154737 0.053766690
## [486] -0.808231635 0.382191712 -0.299547127 0.808173882 0.267360826
## [491] 2.616324934 -1.196595639 2.620024330 -0.655589400 2.106363950
## [496] 0.895580165 0.563000924 0.987768883 0.827163006 1.754466005
## [501] 0.216516531 1.777059863 0.190340753 0.049030479 0.022294470
## [506] -1.711292360 1.277694368 -0.684270808 0.768289948 0.854459423
## [511] 1.210624583 0.211456359 0.082363778 0.086403629 0.342506984
## [516] 0.832453886 -1.449281651 0.022736033 0.868485902 -0.684378341
## [521] 1.921512013 0.416832442 0.784315222 -0.237760035 -0.875176441
## [526] 1.332821645 -0.521593462 -0.043999063 0.893388961 1.335162429
## [531] 0.498844102 1.459408091 0.012442752 -0.462851445 -0.685758002
## [536] 0.692446147 -0.857815317 0.739990994 -0.648877752 0.251479306
## [541] 0.977724614 1.243218783 -0.025157276 0.320324442 -1.243347906
## [546] 0.910843432 1.328885435 1.274448979 -1.472525986 0.783239930
## [551] -1.022302078 1.016120927 1.220560269 1.890711724 -0.024161014
## [556] -0.292546604 -0.464357047 -1.120549553 -0.881018247 -0.088184768
## [561] 1.477087342 -0.742566844 -0.443583260 0.837199669 -0.389185788
## [566] -0.039566337 1.314128974 -0.198254013 0.747307864 -0.160825457
## [571] 0.191786663 -0.475561733 -0.022419631 1.550481031 -1.255680178
## [576] -0.506485508 1.361371106 -0.402329408 0.431132167 1.119357637
## [581] -0.221731564 0.042991279 0.005829250 1.806823260 -1.224958856
## [586] 1.716880702 -0.645290179 1.226211045 0.556591441 -2.411409530
## [591] -1.178006791 1.697357708 0.115507633 0.082513773 -0.388851591
## [596] -0.823260216 -0.120665793 0.280958491 1.232831651 0.817593067
## [601] -0.776515391 0.830690671 0.265499102 0.016857361 -0.022862569
## [606] 0.755633619 0.362323545 -0.590114380 -0.201908960 0.796815478
## [611] 0.467129779 -1.074309338 1.319110225 0.389741490 -0.286546919
## [616] -0.786383581 0.534205337 0.534344599 -0.005000998 1.362871519
## [621] -0.212574352 0.646583720 0.501810554 0.535777396 -1.316731836
## [626] -0.552567532 0.584103180 -1.320899122 0.453522061 1.738197627
## [631] 0.654040679 -1.025596325 -0.582084369 0.576787958 0.728857776
## [636] 1.031505384 0.795125553 1.847254694 -0.463185195 0.512478861
## [641] 1.063176080 -1.026233414 0.442256800 0.854015892 0.643493466
## [646] 1.408078081 -0.378122977 -1.548666806 0.469374056 0.663304245
## [651] 0.225676857 -0.031702170 -0.402010992 1.172911398 -0.370380240
## [656] 1.375859734 -0.539482876 -0.405473347 -0.456114849 1.483928908
## [661] 0.677270004 -0.086983787 0.817041408 0.962261923 -0.207696141
## [666] 0.006208928 1.291325134 0.268310838 1.667731376 -0.619517130
## [671] -0.102964028 1.159457922 0.622420679 -1.723212651 0.564718022
## [676] -0.900445266 2.766755587 -0.044048850 0.382512308 0.378124518
## [681] -1.278615151 -0.026804860 -0.074567834 -1.469306138 0.849838140
## [686] 0.648332197 -0.110286378 1.611999146 -0.605092807 0.039104651
## [691] 0.006500653 1.085102745 0.080490287 0.320948863 0.489816249
## [696] 0.462652167 -0.329778674 -0.204365157 0.479403648 0.613301719
## [701] 0.092650679 0.227290377 -0.006043971 2.532319651 0.854680748
## [706] -1.174562907 -2.003134674 0.499530203 0.398610133 -1.059033940
## [711] -0.887901557 1.099135313 0.273233193 0.114846389 -0.304128223
## [716] 0.238780885 0.434060767 1.806937232 0.453357362 -0.491065763
## [721] 0.058095676 -0.638089207 -2.362727092 -0.383513023 -0.970514328
## [726] 1.219879190 -0.778506424 -0.997978190 0.016695623 1.153647785
## [731] -0.205552439 1.334252482 -0.520553638 -0.484096221 1.374801235
## [736] -1.497703790 -0.101506232 -1.450462126 -0.786648185 0.618564422
## [741] -0.111271906 -0.814176175 -0.638771406 -0.345008851 -0.191491003
## [746] -0.744871880 0.699540734 0.253572235 0.955699455 0.141202618
## [751] -0.819215601 0.455438879 -0.730080721 -1.195832194 -0.783539550
## [756] -1.152410509 -0.225688879 -1.449054917 -0.955005917 1.938280616
## [761] 0.562199118 -0.915619124 -0.441811059 0.743220611 -0.375305442
## [766] -0.411078081 -1.331531572 -0.509951394 -0.689975765 -1.148876840
## [771] 0.191953879 0.353343961 1.456854288 0.378908410 0.222422628
## [776] -0.536548652 1.367338607 -1.097013731 -0.790977306 0.120071536
## [781] 1.294212642 -1.525144247 0.475542135 -0.251510917 0.934893270
## [786] -0.551864900 -1.228759015 -0.859478228 1.793776203 0.235982850
## [791] -0.908527032 -0.463682242 -2.367124556 0.565189093 1.314836043
## [796] 0.274480048 -0.858732813 -1.072564918 1.106097772 -2.271707006
## [801] 0.220145492 1.524245091 -0.703874850 0.055089698 -0.238687881
## [806] -0.154923925 -1.851793548 0.381689802 0.994782593 -0.312381772
## [811] 1.541122293 0.428243903 0.943364994 1.039033246 1.240292702
## [816] -0.399727542 0.417081862 -0.256267795 0.237388965 -0.652422355
## [821] 0.207740491 -1.065673618 -0.866377436 -0.616453711 1.274122457
## [826] 0.286392645 -1.268278259 1.140160406 0.133328178 -0.145470662
## [831] -0.162990850 1.195159457 -0.351823390 0.755913218 0.176018013
## [836] -0.471109820 0.332776391 0.567819293 -0.846738645 0.203017522
## [841] -0.095068461 1.650208864 -1.080870306 0.105456624 -1.803823023
## [846] 0.601799836 0.114886385 0.246583003 0.944133309 0.025337883
## [851] -0.277206274 -1.210418162 -1.027757349 0.069728748 0.897341794
## [856] 0.892311253 1.091820246 0.952177964 -0.975243975 -0.989916497
## [861] 0.301647153 0.675788732 -0.787775615 0.053494424 -0.310798857
## [866] -0.474802051 -1.154100808 1.232538087 -1.510978265 -0.639724361
## [871] -0.744227101 -0.275326076 -0.937285375 1.162572893 0.482908239
## [876] -0.653077457 -0.242781746 0.728855332 0.092240721 0.158711266
## [881] -0.179117856 -0.296016981 -0.291139622 0.516414531 0.298103491
## [886] -0.113465524 0.985391768 -0.191961325 1.626491443 1.236980411
## [891] -1.385952760 -0.831576375 -0.058850585 1.043713884 -0.192781638
## [896] 0.264129944 0.666708405 -0.294431537 -0.035629382 1.410773371
## [901] -0.687512667 -0.432767364 -0.561274900 0.755352255 -0.917614339
## [906] 0.532097253 -3.616453994 0.304637731 0.263887881 1.673816085
## [911] -0.588884715 -4.027332472 -1.275893744 -0.705223483 1.301855916
## [916] 0.452566846 -0.501860684 -0.568076658 -1.719275207 -0.009917378
## [921] 0.619027240 0.824839155 -0.156015377 -0.242771319 0.269231411
## [926] -1.196557508 1.804787269 -0.620193768 -0.612480503 1.221717390
## [931] -0.472974610 1.346177031 -0.869482170 1.485370045 -2.052083096
## [936] -0.758468427 -0.579778054 -1.155353330 -1.563093231 1.140603626
## [941] -1.088696999 0.865777485 0.575874038 0.015327167 0.151780337
## [946] -0.206518401 -1.250346223 -0.257665169 -0.115291080 -1.431795570
## [951] 0.381891539 -1.523808828 -1.419428623 1.988268392 1.059900115
## [956] 0.296732012 -0.281293632 0.409054832 0.053353709 0.814284597
## [961] -0.722900920 -0.206561584 0.683714978 0.732267049 0.290467066
## [966] 0.732732636 -0.472806754 -0.096204955 -1.005744669 1.013827341
## [971] 0.607295944 -1.395675432 0.642371506 -1.364705973 0.216713987
## [976] -0.521534568 -1.571571629 -0.078294167 -0.507567519 1.183500057
## [981] 0.884082618 -1.304437569 0.775770505 0.327703414 -1.214726050
## [986] 1.764981518 -0.274034753 0.921002532 -0.502669407 0.019810609
## [991] 0.546577124 -0.078895647 -3.252995592 2.702282882 -0.917110641
## [996] -0.248714731 0.970770484 0.458481815 -0.628529443 -1.047047505vector_5 <-rbinom(n=1000, size=25, prob=0.32)
vector_5## [1] 10 7 7 6 4 7 7 5 9 7 10 9 6 7 7 8 12 6 10 10 11 11 8 8
## [25] 10 5 7 7 12 7 8 6 4 3 5 11 7 9 6 9 8 7 7 10 4 11 6 8
## [49] 10 6 6 7 9 3 9 7 7 14 2 12 5 10 13 3 8 8 7 9 8 10 7 11
## [73] 5 12 10 8 6 8 7 8 8 6 7 8 7 11 7 8 11 5 9 7 6 7 10 8
## [97] 5 8 10 7 12 3 6 9 8 8 12 12 10 6 7 10 10 11 4 14 10 9 7 4
## [121] 9 6 6 9 9 1 6 8 9 9 9 7 10 10 7 6 9 5 8 8 9 11 9 10
## [145] 6 15 7 7 7 7 12 8 8 10 4 6 10 13 3 10 6 6 12 8 6 9 5 8
## [169] 6 10 5 8 11 6 6 5 7 6 10 10 8 7 11 7 9 9 7 9 7 7 8 7
## [193] 13 8 6 9 5 7 8 11 8 6 11 9 11 11 11 5 4 10 6 11 11 11 8 11
## [217] 8 3 7 6 8 5 7 10 11 12 11 9 7 7 9 12 10 7 10 9 14 10 5 9
## [241] 11 7 9 7 9 5 13 7 5 9 8 9 9 13 8 11 10 8 7 14 5 5 10 5
## [265] 9 7 3 12 7 13 8 7 7 9 6 8 12 7 7 6 11 7 8 10 6 9 7 8
## [289] 8 9 7 7 8 10 15 9 6 10 9 9 11 10 7 11 6 4 11 7 12 11 9 4
## [313] 7 3 4 6 9 7 3 10 7 13 5 7 4 14 7 8 8 3 2 7 10 9 6 11
## [337] 10 8 11 7 10 5 3 7 6 9 7 8 4 8 7 10 6 7 10 6 5 4 9 7
## [361] 3 7 6 7 8 8 9 8 11 10 9 9 7 7 10 6 6 8 4 5 7 7 4 8
## [385] 13 5 6 11 7 7 10 7 7 8 6 8 8 10 8 6 10 10 11 13 9 10 9 5
## [409] 5 13 9 4 9 13 12 7 7 5 13 10 6 7 15 10 10 5 8 6 11 8 10 6
## [433] 9 9 6 8 8 9 8 6 7 7 10 9 5 9 8 6 6 7 8 12 7 6 9 8
## [457] 13 4 7 11 6 4 6 9 10 7 8 3 9 12 9 9 9 8 9 15 9 9 9 8
## [481] 7 10 7 7 8 9 8 8 8 9 11 8 7 8 7 10 8 10 7 8 9 9 9 3
## [505] 8 7 10 7 6 8 10 5 7 14 6 8 9 9 7 9 8 9 8 9 6 7 12 6
## [529] 5 9 12 9 11 7 6 11 8 12 8 8 10 11 8 8 9 9 10 4 8 9 6 8
## [553] 7 3 6 5 6 7 4 8 9 8 11 7 9 11 9 9 6 7 7 9 8 10 6 10
## [577] 4 9 7 9 7 12 8 9 8 8 9 8 8 8 6 9 8 7 8 11 8 6 13 10
## [601] 6 6 4 6 11 8 8 9 7 7 8 5 10 6 6 10 7 3 8 8 8 8 7 9
## [625] 11 6 7 5 12 10 5 6 8 7 5 7 8 7 7 7 8 8 10 8 8 10 11 10
## [649] 5 12 8 8 9 9 10 5 6 7 10 4 7 4 6 7 7 11 9 10 11 6 7 8
## [673] 9 7 9 9 5 9 9 6 6 11 8 8 10 9 11 9 4 9 5 6 9 12 11 7
## [697] 7 5 10 5 6 13 6 6 7 9 8 7 8 8 15 12 11 14 12 10 7 9 5 6
## [721] 7 4 7 9 10 12 8 9 8 8 5 9 8 12 11 9 12 4 7 7 6 11 8 8
## [745] 6 10 10 6 9 9 9 9 11 8 7 8 11 3 9 11 9 6 10 9 7 8 8 5
## [769] 12 8 6 10 11 8 8 11 6 6 10 10 7 10 8 5 9 8 9 9 6 9 6 7
## [793] 8 7 7 8 10 3 8 8 7 11 10 7 8 6 8 12 6 9 8 7 11 12 6 8
## [817] 8 7 5 6 6 4 8 9 6 13 11 12 7 3 10 6 11 5 7 5 9 12 9 8
## [841] 6 7 6 6 7 10 5 8 6 10 10 10 12 4 10 7 8 6 7 3 10 7 12 10
## [865] 8 9 10 7 5 8 7 3 9 6 11 12 9 7 8 8 8 6 10 5 10 5 5 7
## [889] 10 9 10 10 6 5 13 8 11 1 10 6 10 9 8 11 11 7 6 7 7 8 11 4
## [913] 11 8 7 12 10 9 7 10 8 11 8 10 7 8 7 9 4 11 9 7 6 8 12 9
## [937] 10 10 9 9 3 5 10 10 8 4 8 4 5 5 7 8 10 7 7 6 8 8 7 11
## [961] 8 7 7 8 9 8 7 4 10 11 8 12 13 10 8 9 7 8 10 9 7 5 7 8
## [985] 7 8 6 7 5 4 7 5 9 12 14 8 9 6 2 9data1 <-c(1:500, mean=0, sd=1)
data1##
## 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 27 28 29 30 31 32
##
## 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48
##
## 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64
##
## 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80
##
## 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96
##
## 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112
##
## 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128
##
## 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144
##
## 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160
##
## 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176
##
## 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192
##
## 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208
##
## 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224
##
## 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240
##
## 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256
##
## 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272
##
## 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288
##
## 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304
##
## 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320
##
## 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336
##
## 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352
##
## 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368
##
## 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384
##
## 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400
##
## 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416
##
## 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432
##
## 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448
##
## 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464
##
## 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480
##
## 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496
## mean sd
## 497 498 499 500 0 1data2 <-rbinom(n=500, size=25, prob=0.32)
data2## [1] 9 7 5 6 9 10 8 7 9 6 9 8 10 9 5 5 9 8 10 10 12 8 10 7 8
## [26] 11 13 5 7 6 10 10 5 4 10 7 7 9 10 10 9 7 6 10 6 9 10 3 8 6
## [51] 6 5 5 10 9 8 10 7 6 7 8 9 10 6 9 3 11 5 10 10 6 9 11 9 5
## [76] 9 8 5 5 11 7 8 7 8 12 7 10 13 10 7 6 4 11 9 9 6 10 7 6 7
## [101] 8 9 9 6 9 8 6 5 6 6 7 8 5 6 8 5 6 5 9 8 8 4 9 9 9
## [126] 9 12 8 13 7 10 7 9 9 6 9 11 6 7 8 9 5 11 10 11 9 8 6 10 9
## [151] 7 8 4 10 7 10 10 6 8 2 6 12 11 7 7 4 9 9 6 9 8 8 11 9 8
## [176] 6 12 8 6 8 10 11 4 5 8 5 5 7 9 8 4 11 5 7 6 6 9 8 7 8
## [201] 10 5 8 5 6 9 8 8 6 9 7 15 9 5 13 10 10 7 8 10 10 11 5 5 9
## [226] 11 7 10 8 8 8 6 9 9 11 10 6 7 5 2 8 9 9 5 8 8 4 6 8 7
## [251] 8 10 7 3 9 5 9 9 7 7 8 8 6 10 14 7 5 9 9 12 7 9 3 7 6
## [276] 8 7 8 10 4 7 10 6 5 6 9 8 8 10 9 11 5 9 9 5 3 5 7 9 11
## [301] 6 10 5 10 8 8 10 11 12 7 11 10 11 6 9 13 9 10 8 7 6 10 6 7 11
## [326] 9 9 7 8 9 8 15 9 8 9 5 4 7 3 11 8 7 5 12 7 7 6 9 5 9
## [351] 8 8 10 10 8 6 9 7 8 11 8 12 8 6 8 13 6 10 7 9 7 4 4 6 2
## [376] 10 4 9 10 5 8 6 7 9 9 8 8 6 10 9 4 6 11 7 6 5 8 4 6 7
## [401] 10 5 9 10 9 6 3 6 6 10 6 10 7 4 12 10 10 6 12 5 6 8 8 10 8
## [426] 9 7 7 4 10 8 10 7 7 8 9 6 9 11 12 9 8 9 9 7 10 5 6 7 10
## [451] 9 14 10 11 9 10 8 6 9 7 6 14 9 8 10 12 7 8 7 7 5 4 7 12 9
## [476] 8 4 5 7 6 8 7 5 9 3 6 6 4 7 9 8 8 10 9 7 10 8 9 8 9vector_6 <-c(data1,data2)
vector_6##
## 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 27 28 29 30 31 32
##
## 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48
##
## 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64
##
## 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80
##
## 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96
##
## 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112
##
## 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128
##
## 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144
##
## 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160
##
## 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176
##
## 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192
##
## 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208
##
## 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224
##
## 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240
##
## 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256
##
## 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272
##
## 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288
##
## 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304
##
## 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320
##
## 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336
##
## 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352
##
## 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368
##
## 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384
##
## 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400
##
## 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416
##
## 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432
##
## 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448
##
## 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464
##
## 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480
##
## 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496
## mean sd
## 497 498 499 500 0 1 9 7 5 6 9 10 8 7 9 6
##
## 9 8 10 9 5 5 9 8 10 10 12 8 10 7 8 11
##
## 13 5 7 6 10 10 5 4 10 7 7 9 10 10 9 7
##
## 6 10 6 9 10 3 8 6 6 5 5 10 9 8 10 7
##
## 6 7 8 9 10 6 9 3 11 5 10 10 6 9 11 9
##
## 5 9 8 5 5 11 7 8 7 8 12 7 10 13 10 7
##
## 6 4 11 9 9 6 10 7 6 7 8 9 9 6 9 8
##
## 6 5 6 6 7 8 5 6 8 5 6 5 9 8 8 4
##
## 9 9 9 9 12 8 13 7 10 7 9 9 6 9 11 6
##
## 7 8 9 5 11 10 11 9 8 6 10 9 7 8 4 10
##
## 7 10 10 6 8 2 6 12 11 7 7 4 9 9 6 9
##
## 8 8 11 9 8 6 12 8 6 8 10 11 4 5 8 5
##
## 5 7 9 8 4 11 5 7 6 6 9 8 7 8 10 5
##
## 8 5 6 9 8 8 6 9 7 15 9 5 13 10 10 7
##
## 8 10 10 11 5 5 9 11 7 10 8 8 8 6 9 9
##
## 11 10 6 7 5 2 8 9 9 5 8 8 4 6 8 7
##
## 8 10 7 3 9 5 9 9 7 7 8 8 6 10 14 7
##
## 5 9 9 12 7 9 3 7 6 8 7 8 10 4 7 10
##
## 6 5 6 9 8 8 10 9 11 5 9 9 5 3 5 7
##
## 9 11 6 10 5 10 8 8 10 11 12 7 11 10 11 6
##
## 9 13 9 10 8 7 6 10 6 7 11 9 9 7 8 9
##
## 8 15 9 8 9 5 4 7 3 11 8 7 5 12 7 7
##
## 6 9 5 9 8 8 10 10 8 6 9 7 8 11 8 12
##
## 8 6 8 13 6 10 7 9 7 4 4 6 2 10 4 9
##
## 10 5 8 6 7 9 9 8 8 6 10 9 4 6 11 7
##
## 6 5 8 4 6 7 10 5 9 10 9 6 3 6 6 10
##
## 6 10 7 4 12 10 10 6 12 5 6 8 8 10 8 9
##
## 7 7 4 10 8 10 7 7 8 9 6 9 11 12 9 8
##
## 9 9 7 10 5 6 7 10 9 14 10 11 9 10 8 6
##
## 9 7 6 14 9 8 10 12 7 8 7 7 5 4 7 12
##
## 9 8 4 5 7 6 8 7 5 9 3 6 6 4 7 9
##
## 8 8 10 9 7 10 8 9 8 9vector_7 <-vector_1 + vector_2## Warning in vector_1 + vector_2: longer object length is not a multiple of
## shorter object lengthvector_7## [1] 2 5 8 11 14 17 20 23 26 29 32 35 38 41
## [15] 44 47 50 53 56 59 62 65 68 71 74 77 80 83
## [29] 86 89 92 95 98 101 104 107 110 113 116 119 122 125
## [43] 128 131 134 137 140 143 146 149 152 155 158 161 164 167
## [57] 170 173 176 179 182 185 188 191 194 197 200 203 206 209
## [71] 212 215 218 221 224 227 230 233 236 239 242 245 248 251
## [85] 254 257 260 263 266 269 272 275 278 281 284 287 290 293
## [99] 296 299 302 305 308 311 314 317 320 323 326 329 332 335
## [113] 338 341 344 347 350 353 356 359 362 365 368 371 374 377
## [127] 380 383 386 389 392 395 398 401 404 407 410 413 416 419
## [141] 422 425 428 431 434 437 440 443 446 449 452 455 458 461
## [155] 464 467 470 473 476 479 482 485 488 491 494 497 500 503
## [169] 506 509 512 515 518 521 524 527 530 533 536 539 542 545
## [183] 548 551 554 557 560 563 566 569 572 575 578 581 584 587
## [197] 590 593 596 599 602 605 608 611 614 617 620 623 626 629
## [211] 632 635 638 641 644 647 650 653 656 659 662 665 668 671
## [225] 674 677 680 683 686 689 692 695 698 701 704 707 710 713
## [239] 716 719 722 725 728 731 734 737 740 743 746 749 752 755
## [253] 758 761 764 767 770 773 776 779 782 785 788 791 794 797
## [267] 800 803 806 809 812 815 818 821 824 827 830 833 836 839
## [281] 842 845 848 851 854 857 860 863 866 869 872 875 878 881
## [295] 884 887 890 893 896 899 902 905 908 911 914 917 920 923
## [309] 926 929 932 935 938 941 944 947 950 953 956 959 962 965
## [323] 968 971 974 977 980 983 986 989 992 995 998 1001 1004 1007
## [337] 1010 1013 1016 1019 1022 1025 1028 1031 1034 1037 1040 1043 1046 1049
## [351] 1052 1055 1058 1061 1064 1067 1070 1073 1076 1079 1082 1085 1088 1091
## [365] 1094 1097 1100 1103 1106 1109 1112 1115 1118 1121 1124 1127 1130 1133
## [379] 1136 1139 1142 1145 1148 1151 1154 1157 1160 1163 1166 1169 1172 1175
## [393] 1178 1181 1184 1187 1190 1193 1196 1199 1202 1205 1208 1211 1214 1217
## [407] 1220 1223 1226 1229 1232 1235 1238 1241 1244 1247 1250 1253 1256 1259
## [421] 1262 1265 1268 1271 1274 1277 1280 1283 1286 1289 1292 1295 1298 1301
## [435] 1304 1307 1310 1313 1316 1319 1322 1325 1328 1331 1334 1337 1340 1343
## [449] 1346 1349 1352 1355 1358 1361 1364 1367 1370 1373 1376 1379 1382 1385
## [463] 1388 1391 1394 1397 1400 1403 1406 1409 1412 1415 1418 1421 1424 1427
## [477] 1430 1433 1436 1439 1442 1445 1448 1451 1454 1457 1460 1463 1466 1469
## [491] 1472 1475 1478 1481 1484 1487 1490 1493 1496 1499 1502 1505 1508 1511
## [505] 1514 1517 1520 1523 1526 1529 1532 1535 1538 1541 1544 1547 1550 1553
## [519] 1556 1559 1562 1565 1568 1571 1574 1577 1580 1583 1586 1589 1592 1595
## [533] 1598 1601 1604 1607 1610 1613 1616 1619 1622 1625 1628 1631 1634 1637
## [547] 1640 1643 1646 1649 1652 1655 1658 1661 1664 1667 1670 1673 1676 1679
## [561] 1682 1685 1688 1691 1694 1697 1700 1703 1706 1709 1712 1715 1718 1721
## [575] 1724 1727 1730 1733 1736 1739 1742 1745 1748 1751 1754 1757 1760 1763
## [589] 1766 1769 1772 1775 1778 1781 1784 1787 1790 1793 1796 1799 1802 1805
## [603] 1808 1811 1814 1817 1820 1823 1826 1829 1832 1835 1838 1841 1844 1847
## [617] 1850 1853 1856 1859 1862 1865 1868 1871 1874 1877 1880 1883 1886 1889
## [631] 1892 1895 1898 1901 1904 1907 1910 1913 1916 1919 1922 1925 1928 1931
## [645] 1934 1937 1940 1943 1946 1949 1952 1955 1958 1961 1964 1967 1970 1973
## [659] 1976 1979 1982 1985 1988 1991 1994 1997 2000 2003 2006 2009 2012 2015
## [673] 2018 2021 2024 2027 2030 2033 2036 2039 2042 2045 2048 2051 2054 2057
## [687] 2060 2063 2066 2069 2072 2075 2078 2081 2084 2087 2090 2093 2096 2099
## [701] 2102 2105 2108 2111 2114 2117 2120 2123 2126 2129 2132 2135 2138 2141
## [715] 2144 2147 2150 2153 2156 2159 2162 2165 2168 2171 2174 2177 2180 2183
## [729] 2186 2189 2192 2195 2198 2201 2204 2207 2210 2213 2216 2219 2222 2225
## [743] 2228 2231 2234 2237 2240 2243 2246 2249 2252 2255 2258 2261 2264 2267
## [757] 2270 2273 2276 2279 2282 2285 2288 2291 2294 2297 2300 2303 2306 2309
## [771] 2312 2315 2318 2321 2324 2327 2330 2333 2336 2339 2342 2345 2348 2351
## [785] 2354 2357 2360 2363 2366 2369 2372 2375 2378 2381 2384 2387 2390 2393
## [799] 2396 2399 2402 2405 2408 2411 2414 2417 2420 2423 2426 2429 2432 2435
## [813] 2438 2441 2444 2447 2450 2453 2456 2459 2462 2465 2468 2471 2474 2477
## [827] 2480 2483 2486 2489 2492 2495 2498 2501 2504 2507 2510 2513 2516 2519
## [841] 2522 2525 2528 2531 2534 2537 2540 2543 2546 2549 2552 2555 2558 2561
## [855] 2564 2567 2570 2573 2576 2579 2582 2585 2588 2591 2594 2597 2600 2603
## [869] 2606 2609 2612 2615 2618 2621 2624 2627 2630 2633 2636 2639 2642 2645
## [883] 2648 2651 2654 2657 2660 2663 2666 2669 2672 2675 2678 2681 2684 2687
## [897] 2690 2693 2696 2699 2702 2705 2708 2711 2714 2717 2720 2723 2726 2729
## [911] 2732 2735 2738 2741 2744 2747 2750 2753 2756 2759 2762 2765 2768 2771
## [925] 2774 2777 2780 2783 2786 2789 2792 2795 2798 2801 2804 2807 2810 2813
## [939] 2816 2819 2822 2825 2828 2831 2834 2837 2840 2843 2846 2849 2852 2855
## [953] 2858 2861 2864 2867 2870 2873 2876 2879 2882 2885 2888 2891 2894 2897
## [967] 2900 2903 2906 2909 2912 2915 2918 2921 2924 2927 2930 2933 2936 2939
## [981] 2942 2945 2948 2951 2954 2957 2960 2963 2966 2969 2972 2975 2978 2981
## [995] 2984 2987 2990 2993 2996 2000multiplicacion_vectores <- vector_4 * vector_2 * 10
multiplicacion_vectores## [1] 9.472094 2.266819 -115.553030 -76.247080 18.064756
## [6] 103.646419 -31.538783 31.998092 100.133063 -117.363635
## [11] 14.277419 96.689730 205.880790 498.982956 680.329622
## [16] -140.734029 75.421447 229.731637 282.706269 -316.663074
## [21] -52.451063 -146.243194 29.002208 101.118882 -325.472493
## [26] 737.980466 4.767219 -864.649556 985.624332 -27.885366
## [31] 328.401866 38.404109 -777.767549 -266.272996 -112.747778
## [36] -372.619915 -50.941997 909.533432 -788.971468 263.547556
## [41] 30.872042 1081.471432 -1179.381377 1312.318508 1338.601709
## [46] -1932.655838 637.490452 1230.887818 403.857947 -766.176642
## [51] -493.734202 1332.847629 -852.001102 -1741.928674 -58.332649
## [56] 893.393892 1517.758377 826.227671 502.924299 -110.870244
## [61] 786.129092 -176.548272 -743.504143 540.591146 -384.112774
## [66] -550.777215 -908.641087 2670.150328 -608.325137 762.520854
## [71] -1188.582952 1616.298591 -321.525105 671.551859 254.856302
## [76] 1155.640676 -2012.760183 1563.593672 -1340.016633 -1931.817417
## [81] -2283.288897 -181.038531 1095.759515 1162.907044 -2396.322964
## [86] -69.498389 -1920.956456 -2829.823353 822.026142 -222.569457
## [91] 825.149094 1079.021730 2718.053047 -1140.204892 2689.543320
## [96] -824.967184 1108.832611 -667.748374 -586.444978 -670.240631
## [101] 101.270869 -581.162045 -372.080507 -973.805073 -267.832895
## [106] 319.402284 -459.384947 -560.882459 -3674.387375 -1314.169283
## [111] -306.824748 2275.229666 1613.574999 1585.270330 1351.267259
## [116] 3858.206552 -737.085617 531.035404 -470.001647 89.565188
## [121] -195.460416 -1396.428053 4335.766299 -5448.199421 6823.109497
## [126] -242.875531 2417.361145 -4805.505267 4836.511645 6907.782059
## [131] 2433.360519 2584.174855 4933.444690 1368.883042 -2305.831127
## [136] 3456.025321 3702.957674 1495.815658 2332.032211 4365.045764
## [141] 3622.869141 -3977.253581 5061.909915 3535.437685 6008.226693
## [146] -1426.351849 -1087.461872 -2146.021034 1534.782843 2799.418757
## [151] 650.770537 -802.733493 -1111.663339 2420.393644 1021.016511
## [156] 2552.506212 3141.334103 -3464.180666 -732.816469 -885.171624
## [161] 2413.573051 34.620740 2850.005921 5476.667311 2399.268159
## [166] 111.310648 3488.811271 2097.916267 -1370.453914 724.293181
## [171] 1872.571370 -1977.357049 -2393.721378 3512.724515 -943.779235
## [176] -529.098799 4238.433758 3094.356891 2598.695125 -1833.683018
## [181] -4689.243581 3159.193569 -576.712759 -5145.839488 -2871.143216
## [186] -6875.372501 -2366.182386 502.612498 5505.112060 4884.036046
## [191] -3121.312630 -6361.451249 -7846.671177 10550.325907 -2820.937379
## [196] -3754.758228 7710.338089 -1423.036439 -225.329822 -3228.458194
## [201] 2483.837957 -3569.959607 2942.647176 2064.087275 5511.926735
## [206] -1003.499438 -2385.495859 -6529.143081 1408.435795 -1148.355731
## [211] -10112.483880 3937.374635 3702.057964 -8941.209671 -1167.800503
## [216] 1641.821087 -2638.078101 6842.342919 -4573.732624 4217.862622
## [221] -5133.876363 1441.422024 3110.369945 1013.325243 1896.067246
## [226] 7670.494042 2884.942850 7119.914654 1752.362892 -3932.015146
## [231] 680.048314 8188.652897 -2672.741381 -1819.480618 6797.050615
## [236] -4724.265994 7981.574507 -6352.758455 -1520.388046 1825.801017
## [241] -2414.903722 1548.685856 6982.195825 -3588.268306 -4522.793637
## [246] 1759.059951 3107.751184 3003.074773 -5601.202669 2371.829858
## [251] -991.762871 -5612.842677 -6944.443862 -4518.454684 -13163.074643
## [256] 3562.456014 -199.351977 -662.850487 -8497.811853 10146.256347
## [261] 11443.263509 1599.008423 -384.365676 -5453.579662 4495.336535
## [266] -3882.665601 3936.724466 10595.447764 -7874.238410 1116.519477
## [271] 5968.359300 9568.248470 -1342.874632 1582.826783 6528.010136
## [276] 8867.145402 1115.615081 6369.897095 1019.816949 9612.874182
## [281] -4849.593521 -2907.995613 -6767.068874 -6483.036903 2500.491803
## [286] -3730.569539 5681.782912 -2460.483727 -4249.979922 1575.583938
## [291] 10243.783311 6171.728532 451.312907 2009.127826 -2452.620543
## [296] -1579.523758 799.125572 -7532.406632 2225.597054 5631.976687
## [301] 4200.229980 4606.539548 4390.131185 -4148.865001 -5380.663825
## [306] -3938.287149 1562.171671 -3883.421115 -1274.063489 3265.176430
## [311] -886.404578 -6979.793819 -9966.232715 4890.465399 6943.314314
## [316] 5830.253019 -6527.157525 3602.323442 -6985.277661 5716.707699
## [321] 8760.199309 7848.306429 7224.842284 -10395.139016 19336.493079
## [326] 2321.201283 600.483518 -11943.315813 3142.070209 9018.775505
## [331] -11055.228786 6477.076339 -6956.214684 -9564.215863 7016.059341
## [336] 7808.105110 -89.805156 -866.199662 -1199.635815 8482.760649
## [341] 13673.831789 -5541.492057 2509.525649 -1594.466298 9109.742558
## [346] -3916.969328 3506.318578 -6182.760829 1909.381358 8746.571327
## [351] 413.714285 -5619.288260 -8569.575434 -3904.682943 5021.316151
## [356] 2527.442645 3847.737250 -12247.357341 13628.398039 -3916.710598
## [361] 2966.845837 8540.332423 3416.790828 -2578.171480 5418.188056
## [366] -4030.680815 -10043.947197 9279.033962 1556.567335 1731.332368
## [371] 1048.925004 6691.862622 -1986.102050 8729.725086 15399.885845
## [376] 13275.115643 -598.609142 5504.918351 -16279.630926 366.617819
## [381] 1787.937595 5638.794755 -7028.412372 -2357.547703 4221.905166
## [386] -328.121951 2330.977892 -1604.369565 276.949119 1621.770488
## [391] -8239.489176 506.611334 10819.554925 12652.441167 -9072.310443
## [396] -10425.776435 1493.222865 7899.841179 793.607190 -1419.126089
## [401] -951.796530 617.176278 -2357.253130 21439.689260 -13423.501373
## [406] -7549.367420 6009.797787 -6894.352875 14523.003024 -9647.051995
## [411] 4287.350853 1113.017517 6126.323841 -5436.491047 -15978.118088
## [416] 11595.475137 2066.734128 -6619.513805 14050.004265 -16707.829231
## [421] 6321.126243 -10725.601317 584.605656 -2993.705701 -5756.752271
## [426] -20200.699590 2652.826283 15346.482769 -2424.607893 -361.987120
## [431] 2454.242684 -3209.081746 17870.458916 -1960.076694 7960.160479
## [436] -6356.331992 5464.288315 5496.170527 7787.009909 -10289.521692
## [441] 1964.099728 584.955571 -9398.450409 -10993.219282 -10293.030470
## [446] -5678.028903 28451.973093 -6970.024079 -11706.109897 12262.548931
## [451] -5145.656947 1072.333880 6244.233007 -12587.972319 -8061.750539
## [456] 1435.000525 -5569.601573 -15085.262644 8683.437134 6654.059492
## [461] 528.329693 1478.860503 -229.000786 6621.593200 858.984752
## [466] 17027.670920 7189.459840 3814.070745 -1771.741797 -8595.566646
## [471] 15673.131341 13370.843215 -1301.993549 2044.602464 18100.620671
## [476] 3826.508337 -21825.091674 3612.896873 -4097.289238 -3219.228540
## [481] 1697.350193 5803.295860 -3830.670931 -18867.666304 520.999223
## [486] -7847.929174 3718.725358 -2920.584486 7895.858826 2617.462491
## [491] 25666.147602 -11762.535134 25807.239647 -6470.667375 20831.939462
## [496] 8875.199439 5590.599178 9828.300390 8246.815171 17527.115394
## [501] 2167.330478 17823.910427 1912.924567 493.736923 224.951200
## [506] -17301.165762 12943.043953 -6945.348701 7813.508769 8706.941523
## [511] 12360.476995 2163.198558 844.228723 887.365268 3524.396870
## [516] 8582.599560 -14971.079451 235.317944 9006.198799 -7110.690964
## [521] 20002.940051 4347.562366 8196.094075 -2489.347565 -9180.600862
## [526] 14007.955486 -5492.379152 -464.190119 9443.121316 14139.370126
## [531] 5292.735926 15513.508006 132.515310 -4938.624916 -7330.753042
## [536] 7416.098234 -9204.358355 7954.903181 -6988.413386 2713.461711
## [541] 10569.203073 13464.059423 -272.956445 3481.926679 -13540.058692
## [546] 9937.301848 14524.717803 13955.216321 -16153.610065 8607.806835
## [551] -11255.545875 11207.813820 13487.190973 20930.178782 -267.945641
## [556] -3250.192773 -5168.293937 -12494.127511 -9840.973818 -986.787550
## [561] 16558.149099 -8339.025656 -4990.311670 9435.240271 -4393.907545
## [566] -447.495273 14889.081277 -2250.183043 8496.890416 -1831.801960
## [571] 2188.285820 -5435.670612 -256.704777 17784.017429 -14427.765248
## [576] -5829.648201 15696.608855 -4646.904660 4988.199173 12973.355009
## [581] -2574.303453 499.988572 67.910768 21085.627439 -14319.769028
## [586] 20104.673024 -7569.253805 14407.979783 6551.081259 -28430.518360
## [591] -13912.260199 20079.741687 1368.765448 979.438489 -4623.445420
## [596] -9805.029171 -1439.542910 3357.453963 14756.994859 9802.940867
## [601] -9325.949843 9993.208768 3199.264179 203.468349 -276.408461
## [606] 9150.723123 4394.984605 -7169.889712 -2457.232039 9713.180677
## [611] 5703.654601 -13138.803203 16159.100262 4782.128085 -3521.661630
## [616] -9680.381876 6586.751808 6599.155798 -61.862350 16885.978118
## [621] -2638.047712 8037.035636 6247.541393 6681.144131 -16445.980630
## [626] -6912.619825 7318.812842 -16577.283979 5700.772309 21883.908118
## [631] 8247.452963 -12953.281590 -7363.367269 7307.903429 9249.205183
## [636] 13110.433431 10121.948290 23552.497354 -5914.874939 6554.604632
## [641] 13619.285590 -13166.574698 5682.999881 10991.184525 8294.630775
## [646] 18178.288021 -4889.130096 -20055.235136 6087.781507 8616.322141
## [651] 2936.055903 -413.079270 -5246.243444 15329.951978 -4848.277346
## [656] 18037.521111 -7083.410166 -5331.974519 -6007.032558 19573.022298
## [661] 8946.736759 -1150.795504 10825.798656 12769.215712 -2760.281717
## [666] 82.640831 17213.364034 3581.949690 22297.568503 -8295.334374
## [671] -1380.747618 15571.519890 8371.558136 -23211.674412 7618.046118
## [676] -12165.015541 37434.203088 -596.861923 5190.692019 5138.712205
## [681] -17401.952204 -365.350243 -1017.850928 -20085.414901 11634.284139
## [686] 8888.634421 -1514.231966 22164.988259 -8332.127957 539.253142
## [691] 89.774020 15006.970966 1114.790470 4451.560735 6803.547705
## [696] 6435.491648 -4593.816929 -2850.893935 6697.268966 8580.091042
## [701] 1298.036010 3188.883983 -84.917793 35629.737490 12042.451734
## [706] -16573.082619 -28304.292938 7068.352370 5648.305590 -15027.691603
## [711] -12617.081128 15640.695499 3893.573002 1638.857978 -4345.992304
## [716] 3416.954460 6220.090792 25929.549281 6514.745292 -7066.436328
## [721] 837.158687 -9207.627256 -34141.406478 -5549.433443 -14062.752616
## [726] 17700.447053 -11311.698341 -14520.582662 243.255229 16831.721182
## [731] -3003.121131 19520.113817 -7626.110798 -7101.691556 20195.830146
## [736] -22031.222752 -1495.186800 -21394.316357 -11618.793687 9148.567802
## [741] -1647.936927 -12074.232676 -9485.755384 -5130.281617 -2851.301032
## [746] -11106.039734 10444.143151 3790.904917 14306.820837 2116.627241
## [751] -12296.426165 6845.246356 -10987.714854 -18021.191159 -11823.611806
## [756] -17412.922793 -3414.672743 -21953.181986 -14487.439765 29442.482551
## [761] 8551.048580 -13944.879260 -6737.618648 11348.978730 -5738.420207
## [766] -6293.605414 -20412.379005 -7827.753903 -10604.927509 -17681.214569
## [771] 2958.009278 5452.097315 22508.398756 5861.713101 3445.326513
## [776] -8321.869589 21234.768560 -17058.563518 -12315.516656 1871.915251
## [781] 20202.659347 -23838.004582 7442.234419 -3941.176066 14668.475407
## [786] -8669.797582 -19328.379309 -13536.782087 28287.850718 3726.169198
## [791] -14363.812368 -7340.089884 -37518.924212 8969.550898 20892.744717
## [796] 4366.977564 -13679.613715 -17107.410437 17664.381426 -36324.595030
## [801] 3524.529328 24433.648816 -11297.191348 885.291451 -3840.488006
## [806] -2495.824428 -29869.429932 6164.290297 16085.634521 -5057.460883
## [811] 24981.592373 6950.398545 15329.681156 16905.070918 20204.368114
## [816] -6519.556215 6810.946805 -4189.978455 3886.057350 -10693.202406
## [821] 3409.021451 -17509.017549 -14251.908819 -10152.992623 21010.279316
## [826] 4728.342567 -20964.639618 18869.654721 2209.247917 -2413.358280
## [831] -2707.278011 19875.501764 -5857.859441 12601.073340 2937.740638
## [836] -7872.245089 5567.349025 9510.973160 -14199.807072 3408.664188
## [841] -1598.100833 27773.015184 -18212.664648 1779.053244 -30466.570866
## [846] 10176.435234 1945.026493 4179.581897 16021.942248 430.490635
## [851] -4715.278714 -20613.421300 -17523.262805 1190.269732 15335.571264
## [856] 15267.445544 18702.880807 16329.852087 -16744.939052 -17016.664579
## [861] 5191.347508 11643.839848 -13589.129361 923.848706 -5373.712239
## [866] -8218.823503 -20000.566998 21384.535818 -26245.692466 -11124.806644
## [871] -12956.993822 -4798.933502 -16355.629796 20310.148433 8446.065105
## [876] -11435.386279 -4255.964001 12791.411076 1620.669463 2791.731161
## [881] -3154.265446 -5218.779380 -5138.614334 9125.044771 5273.450756
## [886] -2009.474427 17470.996055 -3407.313527 28902.752935 22005.881503
## [891] -24683.818652 -14827.006761 -1050.482945 18651.167114 -3448.863502
## [896] 4730.567288 11954.081696 -5285.046085 -640.259991 25379.812953
## [901] -12382.103130 -7802.795573 -10131.011947 13649.215252 -16599.643391
## [906] 9636.281244 -65566.310918 5529.174825 4794.842801 30446.714590
## [911] -10723.590668 -73418.270973 -23285.060820 -12884.433042 23810.944705
## [916] 8286.498949 -9199.106329 -10424.206666 -31583.085557 -182.380581
## [921] 11396.291484 15201.785628 -2878.483709 -4483.986262 4978.088783
## [926] -22148.279480 33442.708088 -11504.594398 -11373.762942 22711.726283
## [931] -8802.057483 25079.278088 -16215.842465 27731.858739 -38353.433068
## [936] -14190.944263 -10859.242946 -21662.874939 -29339.259950 21431.942124
## [941] -20478.390557 16302.590046 10855.225625 289.223640 2867.130562
## [946] -3905.262963 -23669.053999 -4882.754950 -2187.071784 -27189.797870
## [951] 7259.758163 -28998.082005 -27040.115275 37916.278230 20233.493190
## [956] 5670.548755 -5381.147181 7833.400027 1022.790609 15626.121422
## [961] -13886.926671 -3972.179262 13161.513326 14110.786025 5603.109698
## [966] 14149.067209 -9139.354548 -1861.565870 -19481.274246 19658.112148
## [971] 11787.614277 -27117.973637 12494.125798 -26570.825290 4223.755605
## [976] -10175.139420 -30692.793916 -1530.650973 -9933.096344 23184.766110
## [981] 17336.860140 -25606.109486 15243.890418 6445.926148 -23917.955921
## [986] 34787.785724 -5406.705668 18189.800016 -9937.774174 392.051955
## [991] 10827.692826 -1564.500673 -64571.962509 53694.360857 -18241.330641
## [996] -4951.910297 19347.455737 9146.712216 -12551.732972 -20930.479625condicion_logica <- vector_7 > multiplicacion_vectores
condicion_logica## [1] FALSE TRUE TRUE TRUE FALSE FALSE TRUE FALSE FALSE TRUE TRUE FALSE
## [13] FALSE FALSE FALSE TRUE FALSE FALSE FALSE TRUE TRUE TRUE TRUE FALSE
## [25] TRUE FALSE TRUE TRUE FALSE TRUE FALSE TRUE TRUE TRUE TRUE TRUE
## [37] TRUE FALSE TRUE FALSE TRUE FALSE TRUE FALSE FALSE TRUE FALSE FALSE
## [49] FALSE TRUE TRUE FALSE TRUE TRUE TRUE FALSE FALSE FALSE FALSE TRUE
## [61] FALSE TRUE TRUE FALSE TRUE TRUE TRUE FALSE TRUE FALSE TRUE FALSE
## [73] TRUE FALSE FALSE FALSE TRUE FALSE TRUE TRUE TRUE TRUE FALSE FALSE
## [85] TRUE TRUE TRUE TRUE FALSE TRUE FALSE FALSE FALSE TRUE FALSE TRUE
## [97] FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE
## [109] TRUE TRUE TRUE FALSE FALSE FALSE FALSE FALSE TRUE FALSE TRUE TRUE
## [121] TRUE TRUE FALSE TRUE FALSE TRUE FALSE TRUE FALSE FALSE FALSE FALSE
## [133] FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE
## [145] FALSE TRUE TRUE TRUE FALSE FALSE FALSE TRUE TRUE FALSE FALSE FALSE
## [157] FALSE TRUE TRUE TRUE FALSE TRUE FALSE FALSE FALSE TRUE FALSE FALSE
## [169] TRUE FALSE FALSE TRUE TRUE FALSE TRUE TRUE FALSE FALSE FALSE TRUE
## [181] TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE FALSE FALSE TRUE TRUE
## [193] TRUE FALSE TRUE TRUE FALSE TRUE TRUE TRUE FALSE TRUE FALSE FALSE
## [205] FALSE TRUE TRUE TRUE FALSE TRUE TRUE FALSE FALSE TRUE TRUE FALSE
## [217] TRUE FALSE TRUE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [229] FALSE TRUE TRUE FALSE TRUE TRUE FALSE TRUE FALSE TRUE TRUE FALSE
## [241] TRUE FALSE FALSE TRUE TRUE FALSE FALSE FALSE TRUE FALSE TRUE TRUE
## [253] TRUE TRUE TRUE FALSE TRUE TRUE TRUE FALSE FALSE FALSE TRUE TRUE
## [265] FALSE TRUE FALSE FALSE TRUE FALSE FALSE FALSE TRUE FALSE FALSE FALSE
## [277] FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE FALSE TRUE FALSE TRUE
## [289] TRUE FALSE FALSE FALSE TRUE FALSE TRUE TRUE TRUE TRUE FALSE FALSE
## [301] FALSE FALSE FALSE TRUE TRUE TRUE FALSE TRUE TRUE FALSE TRUE TRUE
## [313] TRUE FALSE FALSE FALSE TRUE FALSE TRUE FALSE FALSE FALSE FALSE TRUE
## [325] FALSE FALSE TRUE TRUE FALSE FALSE TRUE FALSE TRUE TRUE FALSE FALSE
## [337] TRUE TRUE TRUE FALSE FALSE TRUE FALSE TRUE FALSE TRUE FALSE TRUE
## [349] FALSE FALSE TRUE TRUE TRUE TRUE FALSE FALSE FALSE TRUE FALSE TRUE
## [361] FALSE FALSE FALSE TRUE FALSE TRUE TRUE FALSE FALSE FALSE TRUE FALSE
## [373] TRUE FALSE FALSE FALSE TRUE FALSE TRUE TRUE FALSE FALSE TRUE TRUE
## [385] FALSE TRUE FALSE TRUE TRUE FALSE TRUE TRUE FALSE FALSE TRUE TRUE
## [397] FALSE FALSE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE FALSE TRUE
## [409] FALSE TRUE FALSE TRUE FALSE TRUE TRUE FALSE FALSE TRUE FALSE TRUE
## [421] FALSE TRUE TRUE TRUE TRUE TRUE FALSE FALSE TRUE TRUE FALSE TRUE
## [433] FALSE TRUE FALSE TRUE FALSE FALSE FALSE TRUE FALSE TRUE TRUE TRUE
## [445] TRUE TRUE FALSE TRUE TRUE FALSE TRUE TRUE FALSE TRUE TRUE FALSE
## [457] TRUE TRUE FALSE FALSE TRUE FALSE TRUE FALSE TRUE FALSE FALSE FALSE
## [469] TRUE TRUE FALSE FALSE TRUE FALSE FALSE FALSE TRUE FALSE TRUE TRUE
## [481] FALSE FALSE TRUE TRUE TRUE TRUE FALSE TRUE FALSE FALSE FALSE TRUE
## [493] FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE
## [505] TRUE TRUE FALSE TRUE FALSE FALSE FALSE FALSE TRUE TRUE FALSE FALSE
## [517] TRUE TRUE FALSE TRUE FALSE FALSE FALSE TRUE TRUE FALSE TRUE TRUE
## [529] FALSE FALSE FALSE FALSE TRUE TRUE TRUE FALSE TRUE FALSE TRUE FALSE
## [541] FALSE FALSE TRUE FALSE TRUE FALSE FALSE FALSE TRUE FALSE TRUE FALSE
## [553] FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE FALSE
## [565] TRUE TRUE FALSE TRUE FALSE TRUE FALSE TRUE TRUE FALSE TRUE TRUE
## [577] FALSE TRUE FALSE FALSE TRUE TRUE TRUE FALSE TRUE FALSE TRUE FALSE
## [589] FALSE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE FALSE FALSE FALSE
## [601] TRUE FALSE FALSE TRUE TRUE FALSE FALSE TRUE TRUE FALSE FALSE TRUE
## [613] FALSE FALSE TRUE TRUE FALSE FALSE TRUE FALSE TRUE FALSE FALSE FALSE
## [625] TRUE TRUE FALSE TRUE FALSE FALSE FALSE TRUE TRUE FALSE FALSE FALSE
## [637] FALSE FALSE TRUE FALSE FALSE TRUE FALSE FALSE FALSE FALSE TRUE TRUE
## [649] FALSE FALSE FALSE TRUE TRUE FALSE TRUE FALSE TRUE TRUE TRUE FALSE
## [661] FALSE TRUE FALSE FALSE TRUE TRUE FALSE FALSE FALSE TRUE TRUE FALSE
## [673] FALSE TRUE FALSE TRUE FALSE TRUE FALSE FALSE TRUE TRUE TRUE TRUE
## [685] FALSE FALSE TRUE FALSE TRUE TRUE TRUE FALSE TRUE FALSE FALSE FALSE
## [697] TRUE TRUE FALSE FALSE TRUE FALSE TRUE FALSE FALSE TRUE TRUE FALSE
## [709] FALSE TRUE TRUE FALSE FALSE TRUE TRUE FALSE FALSE FALSE FALSE TRUE
## [721] TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE FALSE TRUE FALSE
## [733] TRUE TRUE FALSE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE
## [745] TRUE TRUE FALSE FALSE FALSE TRUE TRUE FALSE TRUE TRUE TRUE TRUE
## [757] TRUE TRUE TRUE FALSE FALSE TRUE TRUE FALSE TRUE TRUE TRUE TRUE
## [769] TRUE TRUE FALSE FALSE FALSE FALSE FALSE TRUE FALSE TRUE TRUE TRUE
## [781] FALSE TRUE FALSE TRUE FALSE TRUE TRUE TRUE FALSE FALSE TRUE TRUE
## [793] TRUE FALSE FALSE FALSE TRUE TRUE FALSE TRUE FALSE FALSE TRUE TRUE
## [805] TRUE TRUE TRUE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE TRUE
## [817] FALSE TRUE FALSE TRUE FALSE TRUE TRUE TRUE FALSE FALSE TRUE FALSE
## [829] TRUE TRUE TRUE FALSE TRUE FALSE FALSE TRUE FALSE FALSE TRUE FALSE
## [841] TRUE FALSE TRUE TRUE TRUE FALSE TRUE FALSE FALSE TRUE TRUE TRUE
## [853] TRUE TRUE FALSE FALSE FALSE FALSE TRUE TRUE FALSE FALSE TRUE TRUE
## [865] TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE FALSE FALSE TRUE
## [877] TRUE FALSE TRUE FALSE TRUE TRUE TRUE FALSE FALSE TRUE FALSE TRUE
## [889] FALSE FALSE TRUE TRUE TRUE FALSE TRUE FALSE FALSE TRUE TRUE FALSE
## [901] TRUE TRUE TRUE FALSE TRUE FALSE TRUE FALSE FALSE FALSE TRUE TRUE
## [913] TRUE TRUE FALSE FALSE TRUE TRUE TRUE TRUE FALSE FALSE TRUE TRUE
## [925] FALSE TRUE FALSE TRUE TRUE FALSE TRUE FALSE TRUE FALSE TRUE TRUE
## [937] TRUE TRUE TRUE FALSE TRUE FALSE FALSE TRUE FALSE TRUE TRUE TRUE
## [949] TRUE TRUE FALSE TRUE TRUE FALSE FALSE FALSE TRUE FALSE TRUE FALSE
## [961] TRUE TRUE FALSE FALSE FALSE FALSE TRUE TRUE TRUE FALSE FALSE TRUE
## [973] FALSE TRUE FALSE TRUE TRUE TRUE TRUE FALSE FALSE TRUE FALSE FALSE
## [985] TRUE FALSE TRUE FALSE TRUE TRUE FALSE TRUE TRUE FALSE TRUE TRUE
## [997] FALSE FALSE TRUE TRUEvector_8 <- ifelse(condicion_logica,1,0)
vector_8## [1] 0 1 1 1 0 0 1 0 0 1 1 0 0 0 0 1 0 0 0 1 1 1 1 0 1 0 1 1 0 1 0 1 1 1 1 1 1
## [38] 0 1 0 1 0 1 0 0 1 0 0 0 1 1 0 1 1 1 0 0 0 0 1 0 1 1 0 1 1 1 0 1 0 1 0 1 0
## [75] 0 0 1 0 1 1 1 1 0 0 1 1 1 1 0 1 0 0 0 1 0 1 0 1 1 1 1 1 1 1 1 0 1 1 1 1 1
## [112] 0 0 0 0 0 1 0 1 1 1 1 0 1 0 1 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 1 1
## [149] 0 0 0 1 1 0 0 0 0 1 1 1 0 1 0 0 0 1 0 0 1 0 0 1 1 0 1 1 0 0 0 1 1 0 1 1 1
## [186] 1 1 1 0 0 1 1 1 0 1 1 0 1 1 1 0 1 0 0 0 1 1 1 0 1 1 0 0 1 1 0 1 0 1 0 1 0
## [223] 0 0 0 0 0 0 0 1 1 0 1 1 0 1 0 1 1 0 1 0 0 1 1 0 0 0 1 0 1 1 1 1 1 0 1 1 1
## [260] 0 0 0 1 1 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 1 1 1 0 1 0 1 1 0 0 0 1 0 1 1
## [297] 1 1 0 0 0 0 0 1 1 1 0 1 1 0 1 1 1 0 0 0 1 0 1 0 0 0 0 1 0 0 1 1 0 0 1 0 1
## [334] 1 0 0 1 1 1 0 0 1 0 1 0 1 0 1 0 0 1 1 1 1 0 0 0 1 0 1 0 0 0 1 0 1 1 0 0 0
## [371] 1 0 1 0 0 0 1 0 1 1 0 0 1 1 0 1 0 1 1 0 1 1 0 0 1 1 0 0 1 1 1 1 1 0 1 1 0
## [408] 1 0 1 0 1 0 1 1 0 0 1 0 1 0 1 1 1 1 1 0 0 1 1 0 1 0 1 0 1 0 0 0 1 0 1 1 1
## [445] 1 1 0 1 1 0 1 1 0 1 1 0 1 1 0 0 1 0 1 0 1 0 0 0 1 1 0 0 1 0 0 0 1 0 1 1 0
## [482] 0 1 1 1 1 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 1 1 0 1 0 0 0 0 1 1 0 0 1 1
## [519] 0 1 0 0 0 1 1 0 1 1 0 0 0 0 1 1 1 0 1 0 1 0 0 0 1 0 1 0 0 0 1 0 1 0 0 0 1
## [556] 1 1 1 1 1 0 1 1 0 1 1 0 1 0 1 0 1 1 0 1 1 0 1 0 0 1 1 1 0 1 0 1 0 0 1 1 0
## [593] 1 1 1 1 1 0 0 0 1 0 0 1 1 0 0 1 1 0 0 1 0 0 1 1 0 0 1 0 1 0 0 0 1 1 0 1 0
## [630] 0 0 1 1 0 0 0 0 0 1 0 0 1 0 0 0 0 1 1 0 0 0 1 1 0 1 0 1 1 1 0 0 1 0 0 1 1
## [667] 0 0 0 1 1 0 0 1 0 1 0 1 0 0 1 1 1 1 0 0 1 0 1 1 1 0 1 0 0 0 1 1 0 0 1 0 1
## [704] 0 0 1 1 0 0 1 1 0 0 1 1 0 0 0 0 1 1 1 1 1 1 0 1 1 1 0 1 0 1 1 0 1 1 1 1 0
## [741] 1 1 1 1 1 1 0 0 0 1 1 0 1 1 1 1 1 1 1 0 0 1 1 0 1 1 1 1 1 1 0 0 0 0 0 1 0
## [778] 1 1 1 0 1 0 1 0 1 1 1 0 0 1 1 1 0 0 0 1 1 0 1 0 0 1 1 1 1 1 0 0 1 0 0 0 0
## [815] 0 1 0 1 0 1 0 1 1 1 0 0 1 0 1 1 1 0 1 0 0 1 0 0 1 0 1 0 1 1 1 0 1 0 0 1 1
## [852] 1 1 1 0 0 0 0 1 1 0 0 1 1 1 1 1 0 1 1 1 1 1 0 0 1 1 0 1 0 1 1 1 0 0 1 0 1
## [889] 0 0 1 1 1 0 1 0 0 1 1 0 1 1 1 0 1 0 1 0 0 0 1 1 1 1 0 0 1 1 1 1 0 0 1 1 0
## [926] 1 0 1 1 0 1 0 1 0 1 1 1 1 1 0 1 0 0 1 0 1 1 1 1 1 0 1 1 0 0 0 1 0 1 0 1 1
## [963] 0 0 0 0 1 1 1 0 0 1 0 1 0 1 1 1 1 0 0 1 0 0 1 0 1 0 1 1 0 1 1 0 1 1 0 0 1
## [1000] 1##Respuestas preguntas #A.La coercion implicita aplicada para el vector 7 significa que a este vector lo componen 2 elementos (vector 1 y vector 2) que tienen diferentes largos, por lo que R duplicara el dato del vector mas pequeño para que ambos midan 1000, Lo mismo aplica para el vector 8. #vector: unidimensional #matiz: bidimensional, posee filas y columnas #lista: conjunto de objetos, posee vectores, matrices, funciones, etc.
#B. creacion de matriz, la coercion implicita aplicada al vector 1 es necesaria, debido a que este vector mide 999 y para formar una matriz todos los vectores tienen que medir lo mismo, por lo que R duplicara un valor en el vector 1.
matriz<- cbind(vector_1,vector_2,vector_3,vector_4,vector_5,vector_6,vector_7,vector_8)## Warning in cbind(vector_1, vector_2, vector_3, vector_4, vector_5, vector_6, :
## number of rows of result is not a multiple of vector length (arg 1)matriz## vector_1 vector_2 vector_3 vector_4 vector_5 vector_6 vector_7
## 1 1 10 0.947209389 10 1 2
## 2 3 10 0.075560624 7 2 5
## 3 5 10 -2.311060599 7 3 8
## 4 7 10 -1.089244000 6 4 11
## 5 9 10 0.200719515 4 5 14
## 6 11 10 0.942240173 7 6 17
## 7 13 10 -0.242606021 7 7 20
## 8 15 10 0.213320614 5 8 23
## 9 17 10 0.589018016 9 9 26
## 10 19 10 -0.617703345 7 10 29
## 11 21 10 0.067987712 10 11 32
## 12 23 10 0.420390132 9 12 35
## 13 25 10 0.823523161 6 13 38
## 14 27 10 1.848085024 7 14 41
## 15 29 10 2.345964213 7 15 44
## 16 31 10 -0.453980739 8 16 47
## 17 33 10 0.228549839 12 17 50
## 18 35 10 0.656376105 6 18 53
## 19 37 10 0.764070998 10 19 56
## 20 39 10 -0.811956601 10 20 59
## 21 41 10 -0.127929423 11 21 62
## 22 43 10 -0.340100451 11 22 65
## 23 45 10 0.064449351 8 23 68
## 24 47 10 0.215146558 8 24 71
## 25 49 10 -0.664229577 10 25 74
## 26 51 10 1.447020521 5 26 77
## 27 53 10 0.008994752 7 27 80
## 28 55 10 -1.572090102 7 28 83
## 29 57 10 1.729165494 12 29 86
## 30 59 10 -0.047263332 7 30 89
## 31 61 10 0.538363716 8 31 92
## 32 63 10 0.060958903 6 32 95
## 33 65 10 -1.196565460 4 33 98
## 34 67 10 -0.397422382 3 34 101
## 35 69 10 -0.163402577 5 35 104
## 36 71 10 -0.524816782 11 36 107
## 37 73 10 -0.069783558 7 37 110
## 38 75 10 1.212711243 9 38 113
## 39 77 10 -1.024638271 6 39 116
## 40 79 10 0.333604501 9 40 119
## 41 81 10 0.038113632 8 41 122
## 42 83 10 1.302977629 7 42 125
## 43 85 10 -1.387507502 7 43 128
## 44 87 10 1.508412078 10 44 131
## 45 89 10 1.504046864 4 45 134
## 46 91 10 -2.123797624 11 46 137
## 47 93 10 0.685473604 6 47 140
## 48 95 10 1.295671388 8 48 143
## 49 97 10 0.416348399 10 49 146
## 50 99 10 -0.773915800 6 50 149
## 51 101 10 -0.488845745 6 51 152
## 52 103 10 1.294026824 7 52 155
## 53 105 10 -0.811429621 9 53 158
## 54 107 10 -1.627970723 3 54 161
## 55 109 10 -0.053516192 9 55 164
## 56 111 10 0.804859362 7 56 167
## 57 113 10 1.343149006 7 57 170
## 58 115 10 0.718458845 14 58 173
## 59 117 10 0.429849828 2 59 176
## 60 119 10 -0.093168272 12 60 179
## 61 121 10 0.649693464 5 61 182
## 62 123 10 -0.143535181 10 62 185
## 63 125 10 -0.594803315 13 63 188
## 64 127 10 0.425662320 3 64 191
## 65 129 10 -0.297761840 8 65 194
## 66 131 10 -0.420440622 8 66 197
## 67 133 10 -0.683188787 7 67 200
## 68 135 10 1.977889132 9 68 203
## 69 137 10 -0.444032947 8 69 206
## 70 139 10 0.548576154 10 70 209
## 71 141 10 -0.842966632 7 71 212
## 72 143 10 1.130278735 11 72 215
## 73 145 10 -0.221741452 5 73 218
## 74 147 10 0.456838000 12 74 221
## 75 149 10 0.171044498 10 75 224
## 76 151 10 0.765324951 8 76 227
## 77 153 10 -1.315529532 6 77 230
## 78 155 10 1.008770111 8 78 233
## 79 157 10 -0.853513779 7 79 236
## 80 159 10 -1.214979508 8 80 239
## 81 161 10 -1.418191861 8 81 242
## 82 163 10 -0.111066583 6 82 245
## 83 165 10 0.664096675 7 83 248
## 84 167 10 0.696351524 8 84 251
## 85 169 10 -1.417942582 7 85 254
## 86 171 10 -0.040642332 11 86 257
## 87 173 10 -1.110379454 7 87 260
## 88 175 10 -1.617041916 8 88 263
## 89 177 10 0.464421549 11 89 266
## 90 179 10 -0.124340479 5 90 269
## 91 181 10 0.455883478 9 91 272
## 92 183 10 0.589629361 7 92 275
## 93 185 10 1.469217863 6 93 278
## 94 187 10 -0.609735236 7 94 281
## 95 189 10 1.423038793 10 95 284
## 96 191 10 -0.431919992 8 96 287
## 97 193 10 0.574524669 5 97 290
## 98 195 10 -0.342435063 8 98 293
## 99 197 10 -0.297687806 10 99 296
## 100 199 10 -0.336804337 7 100 299
## 101 201 10 0.050383517 12 101 302
## 102 203 10 -0.286286722 3 102 305
## 103 205 10 -0.181502686 6 103 308
## 104 207 10 -0.470437233 9 104 311
## 105 209 10 -0.128149710 8 105 314
## 106 211 10 0.151375490 8 106 317
## 107 213 10 -0.215673684 12 107 320
## 108 215 10 -0.260875562 12 108 323
## 109 217 10 -1.693266072 10 109 326
## 110 219 10 -0.600077298 6 110 329
## 111 221 10 -0.138834727 7 111 332
## 112 223 10 1.020282362 10 112 335
## 113 225 10 0.717144444 10 113 338
## 114 227 10 0.698356973 11 114 341
## 115 229 10 0.590073039 4 115 344
## 116 231 10 1.670219287 14 116 347
## 117 233 10 -0.316345758 10 117 350
## 118 235 10 0.225972512 9 118 353
## 119 237 10 -0.198312931 7 119 356
## 120 239 10 0.037474974 4 120 359
## 121 241 10 -0.081103907 9 121 362
## 122 243 10 -0.574661750 6 122 365
## 123 245 10 1.769700530 6 123 368
## 124 247 10 -2.205748754 9 124 371
## 125 249 10 2.740204617 9 125 374
## 126 251 10 -0.096763160 1 126 377
## 127 253 10 0.955478713 6 127 380
## 128 255 10 -1.884511869 8 128 383
## 129 257 10 1.881911146 9 129 386
## 130 259 10 2.667097320 9 130 389
## 131 261 10 0.932322038 9 131 392
## 132 263 10 0.982575990 7 132 395
## 133 265 10 1.861677241 10 133 398
## 134 267 10 0.512690278 10 134 401
## 135 269 10 -0.857186292 7 135 404
## 136 271 10 1.275286096 6 136 407
## 137 273 10 1.356394752 9 137 410
## 138 275 10 0.543932966 5 138 413
## 139 277 10 0.841888885 8 139 416
## 140 279 10 1.564532532 8 140 419
## 141 281 10 1.289277274 9 141 422
## 142 283 10 -1.405389958 11 142 425
## 143 285 10 1.776108742 9 143 428
## 144 287 10 1.231859820 10 144 431
## 145 289 10 2.078971174 6 145 434
## 146 291 10 -0.490155275 15 146 437
## 147 293 10 -0.371147397 7 147 440
## 148 295 10 -0.727464757 7 148 443
## 149 297 10 0.516761900 7 149 446
## 150 299 10 0.936260454 7 150 449
## 151 301 10 0.216202836 12 151 452
## 152 303 10 -0.264928545 8 152 455
## 153 305 10 -0.364479783 8 153 458
## 154 307 10 0.788401838 10 154 461
## 155 309 10 0.330426055 4 155 464
## 156 311 10 0.820741547 6 156 467
## 157 313 10 1.003621119 10 157 470
## 158 315 10 -1.099739894 13 158 473
## 159 317 10 -0.231172388 3 159 476
## 160 319 10 -0.277483268 10 160 479
## 161 321 10 0.751891916 6 161 482
## 162 323 10 0.010718495 6 162 485
## 163 325 10 0.876924899 12 163 488
## 164 327 10 1.674821808 8 164 491
## 165 329 10 0.729260839 6 165 494
## 166 331 10 0.033628595 9 166 497
## 167 333 10 1.047691072 5 167 500
## 168 335 10 0.626243662 8 168 503
## 169 337 10 -0.406662882 6 169 506
## 170 339 10 0.213655806 10 170 509
## 171 341 10 0.549141164 5 171 512
## 172 343 10 -0.576488935 8 172 515
## 173 345 10 -0.693832284 11 173 518
## 174 347 10 1.012312540 6 174 521
## 175 349 10 -0.270423850 6 175 524
## 176 351 10 -0.150740399 5 176 527
## 177 353 10 1.200689450 7 177 530
## 178 355 10 0.871649828 6 178 533
## 179 357 10 0.727925805 10 179 536
## 180 359 10 -0.510775214 10 180 539
## 181 361 10 -1.298959441 8 181 542
## 182 363 10 0.870301259 7 182 545
## 183 365 10 -0.158003496 11 183 548
## 184 367 10 -1.402136100 7 184 551
## 185 369 10 -0.778087592 9 185 554
## 186 371 10 -1.853200135 9 186 557
## 187 373 10 -0.634365251 7 187 560
## 188 375 10 0.134030000 9 188 563
## 189 377 10 1.460241926 7 189 566
## 190 379 10 1.288663864 7 190 569
## 191 381 10 -0.819242160 8 191 572
## 192 383 10 -1.660953329 7 192 575
## 193 385 10 -2.038096410 13 193 578
## 194 387 10 2.726182405 8 194 581
## 195 389 10 -0.725176704 6 195 584
## 196 391 10 -0.960296222 9 196 587
## 197 393 10 1.961918089 5 197 590
## 198 395 10 -0.360262389 7 198 593
## 199 397 10 -0.056758142 8 199 596
## 200 399 10 -0.809137392 11 200 599
## 201 401 10 0.619410962 8 201 602
## 202 403 10 -0.885846056 6 202 605
## 203 405 10 0.726579550 11 203 608
## 204 407 10 0.507146750 9 204 611
## 205 409 10 1.347659348 11 205 614
## 206 411 10 -0.244160447 11 206 617
## 207 413 10 -0.577601903 11 207 620
## 208 415 10 -1.573287489 5 208 623
## 209 417 10 0.337754387 4 209 626
## 210 419 10 -0.274070580 10 210 629
## 211 421 10 -2.402015173 6 211 632
## 212 423 10 0.930821427 11 212 635
## 213 425 10 0.871072462 11 213 638
## 214 427 10 -2.093960110 11 214 641
## 215 429 10 -0.272214570 8 215 644
## 216 431 10 0.380932967 11 216 647
## 217 433 10 -0.609255913 8 217 650
## 218 435 10 1.572952395 3 218 653
## 219 437 10 -1.046620738 7 219 656
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## 1objeto_matriz<-matrix(matriz,nrow=1002,ncol = 8)
objeto_matriz## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
## [1,] 1 1 10 0.947209389 10 1 2 0
## [2,] 2 3 10 0.075560624 7 2 5 1
## [3,] 3 5 10 -2.311060599 7 3 8 1
## [4,] 4 7 10 -1.089244000 6 4 11 1
## [5,] 5 9 10 0.200719515 4 5 14 0
## [6,] 6 11 10 0.942240173 7 6 17 0
## [7,] 7 13 10 -0.242606021 7 7 20 1
## [8,] 8 15 10 0.213320614 5 8 23 0
## [9,] 9 17 10 0.589018016 9 9 26 0
## [10,] 10 19 10 -0.617703345 7 10 29 1
## [11,] 11 21 10 0.067987712 10 11 32 1
## [12,] 12 23 10 0.420390132 9 12 35 0
## [13,] 13 25 10 0.823523161 6 13 38 0
## [14,] 14 27 10 1.848085024 7 14 41 0
## [15,] 15 29 10 2.345964213 7 15 44 0
## [16,] 16 31 10 -0.453980739 8 16 47 1
## [17,] 17 33 10 0.228549839 12 17 50 0
## [18,] 18 35 10 0.656376105 6 18 53 0
## [19,] 19 37 10 0.764070998 10 19 56 0
## [20,] 20 39 10 -0.811956601 10 20 59 1
## [21,] 21 41 10 -0.127929423 11 21 62 1
## [22,] 22 43 10 -0.340100451 11 22 65 1
## [23,] 23 45 10 0.064449351 8 23 68 1
## [24,] 24 47 10 0.215146558 8 24 71 0
## [25,] 25 49 10 -0.664229577 10 25 74 1
## [26,] 26 51 10 1.447020521 5 26 77 0
## [27,] 27 53 10 0.008994752 7 27 80 1
## [28,] 28 55 10 -1.572090102 7 28 83 1
## [29,] 29 57 10 1.729165494 12 29 86 0
## [30,] 30 59 10 -0.047263332 7 30 89 1
## [31,] 31 61 10 0.538363716 8 31 92 0
## [32,] 32 63 10 0.060958903 6 32 95 1
## [33,] 33 65 10 -1.196565460 4 33 98 1
## [34,] 34 67 10 -0.397422382 3 34 101 1
## [35,] 35 69 10 -0.163402577 5 35 104 1
## [36,] 36 71 10 -0.524816782 11 36 107 1
## [37,] 37 73 10 -0.069783558 7 37 110 1
## [38,] 38 75 10 1.212711243 9 38 113 0
## [39,] 39 77 10 -1.024638271 6 39 116 1
## [40,] 40 79 10 0.333604501 9 40 119 0
## [41,] 41 81 10 0.038113632 8 41 122 1
## [42,] 42 83 10 1.302977629 7 42 125 0
## [43,] 43 85 10 -1.387507502 7 43 128 1
## [44,] 44 87 10 1.508412078 10 44 131 0
## [45,] 45 89 10 1.504046864 4 45 134 0
## [46,] 46 91 10 -2.123797624 11 46 137 1
## [47,] 47 93 10 0.685473604 6 47 140 0
## [48,] 48 95 10 1.295671388 8 48 143 0
## [49,] 49 97 10 0.416348399 10 49 146 0
## [50,] 50 99 10 -0.773915800 6 50 149 1
## [51,] 51 101 10 -0.488845745 6 51 152 1
## [52,] 52 103 10 1.294026824 7 52 155 0
## [53,] 53 105 10 -0.811429621 9 53 158 1
## [54,] 54 107 10 -1.627970723 3 54 161 1
## [55,] 55 109 10 -0.053516192 9 55 164 1
## [56,] 56 111 10 0.804859362 7 56 167 0
## [57,] 57 113 10 1.343149006 7 57 170 0
## [58,] 58 115 10 0.718458845 14 58 173 0
## [59,] 59 117 10 0.429849828 2 59 176 0
## [60,] 60 119 10 -0.093168272 12 60 179 1
## [61,] 61 121 10 0.649693464 5 61 182 0
## [62,] 62 123 10 -0.143535181 10 62 185 1
## [63,] 63 125 10 -0.594803315 13 63 188 1
## [64,] 64 127 10 0.425662320 3 64 191 0
## [65,] 65 129 10 -0.297761840 8 65 194 1
## [66,] 66 131 10 -0.420440622 8 66 197 1
## [67,] 67 133 10 -0.683188787 7 67 200 1
## [68,] 68 135 10 1.977889132 9 68 203 0
## [69,] 69 137 10 -0.444032947 8 69 206 1
## [70,] 70 139 10 0.548576154 10 70 209 0
## [71,] 71 141 10 -0.842966632 7 71 212 1
## [72,] 72 143 10 1.130278735 11 72 215 0
## [73,] 73 145 10 -0.221741452 5 73 218 1
## [74,] 74 147 10 0.456838000 12 74 221 0
## [75,] 75 149 10 0.171044498 10 75 224 0
## [76,] 76 151 10 0.765324951 8 76 227 0
## [77,] 77 153 10 -1.315529532 6 77 230 1
## [78,] 78 155 10 1.008770111 8 78 233 0
## [79,] 79 157 10 -0.853513779 7 79 236 1
## [80,] 80 159 10 -1.214979508 8 80 239 1
## [81,] 81 161 10 -1.418191861 8 81 242 1
## [82,] 82 163 10 -0.111066583 6 82 245 1
## [83,] 83 165 10 0.664096675 7 83 248 0
## [84,] 84 167 10 0.696351524 8 84 251 0
## [85,] 85 169 10 -1.417942582 7 85 254 1
## [86,] 86 171 10 -0.040642332 11 86 257 1
## [87,] 87 173 10 -1.110379454 7 87 260 1
## [88,] 88 175 10 -1.617041916 8 88 263 1
## [89,] 89 177 10 0.464421549 11 89 266 0
## [90,] 90 179 10 -0.124340479 5 90 269 1
## [91,] 91 181 10 0.455883478 9 91 272 0
## [92,] 92 183 10 0.589629361 7 92 275 0
## [93,] 93 185 10 1.469217863 6 93 278 0
## [94,] 94 187 10 -0.609735236 7 94 281 1
## [95,] 95 189 10 1.423038793 10 95 284 0
## [96,] 96 191 10 -0.431919992 8 96 287 1
## [97,] 97 193 10 0.574524669 5 97 290 0
## [98,] 98 195 10 -0.342435063 8 98 293 1
## [99,] 99 197 10 -0.297687806 10 99 296 1
## [100,] 100 199 10 -0.336804337 7 100 299 1
## [101,] 101 201 10 0.050383517 12 101 302 1
## [102,] 102 203 10 -0.286286722 3 102 305 1
## [103,] 103 205 10 -0.181502686 6 103 308 1
## [104,] 104 207 10 -0.470437233 9 104 311 1
## [105,] 105 209 10 -0.128149710 8 105 314 1
## [106,] 106 211 10 0.151375490 8 106 317 0
## [107,] 107 213 10 -0.215673684 12 107 320 1
## [108,] 108 215 10 -0.260875562 12 108 323 1
## [109,] 109 217 10 -1.693266072 10 109 326 1
## [110,] 110 219 10 -0.600077298 6 110 329 1
## [111,] 111 221 10 -0.138834727 7 111 332 1
## [112,] 112 223 10 1.020282362 10 112 335 0
## [113,] 113 225 10 0.717144444 10 113 338 0
## [114,] 114 227 10 0.698356973 11 114 341 0
## [115,] 115 229 10 0.590073039 4 115 344 0
## [116,] 116 231 10 1.670219287 14 116 347 0
## [117,] 117 233 10 -0.316345758 10 117 350 1
## [118,] 118 235 10 0.225972512 9 118 353 0
## [119,] 119 237 10 -0.198312931 7 119 356 1
## [120,] 120 239 10 0.037474974 4 120 359 1
## [121,] 121 241 10 -0.081103907 9 121 362 1
## [122,] 122 243 10 -0.574661750 6 122 365 1
## [123,] 123 245 10 1.769700530 6 123 368 0
## [124,] 124 247 10 -2.205748754 9 124 371 1
## [125,] 125 249 10 2.740204617 9 125 374 0
## [126,] 126 251 10 -0.096763160 1 126 377 1
## [127,] 127 253 10 0.955478713 6 127 380 0
## [128,] 128 255 10 -1.884511869 8 128 383 1
## [129,] 129 257 10 1.881911146 9 129 386 0
## [130,] 130 259 10 2.667097320 9 130 389 0
## [131,] 131 261 10 0.932322038 9 131 392 0
## [132,] 132 263 10 0.982575990 7 132 395 0
## [133,] 133 265 10 1.861677241 10 133 398 0
## [134,] 134 267 10 0.512690278 10 134 401 0
## [135,] 135 269 10 -0.857186292 7 135 404 1
## [136,] 136 271 10 1.275286096 6 136 407 0
## [137,] 137 273 10 1.356394752 9 137 410 0
## [138,] 138 275 10 0.543932966 5 138 413 0
## [139,] 139 277 10 0.841888885 8 139 416 0
## [140,] 140 279 10 1.564532532 8 140 419 0
## [141,] 141 281 10 1.289277274 9 141 422 0
## [142,] 142 283 10 -1.405389958 11 142 425 1
## [143,] 143 285 10 1.776108742 9 143 428 0
## [144,] 144 287 10 1.231859820 10 144 431 0
## [145,] 145 289 10 2.078971174 6 145 434 0
## [146,] 146 291 10 -0.490155275 15 146 437 1
## [147,] 147 293 10 -0.371147397 7 147 440 1
## [148,] 148 295 10 -0.727464757 7 148 443 1
## [149,] 149 297 10 0.516761900 7 149 446 0
## [150,] 150 299 10 0.936260454 7 150 449 0
## [151,] 151 301 10 0.216202836 12 151 452 0
## [152,] 152 303 10 -0.264928545 8 152 455 1
## [153,] 153 305 10 -0.364479783 8 153 458 1
## [154,] 154 307 10 0.788401838 10 154 461 0
## [155,] 155 309 10 0.330426055 4 155 464 0
## [156,] 156 311 10 0.820741547 6 156 467 0
## [157,] 157 313 10 1.003621119 10 157 470 0
## [158,] 158 315 10 -1.099739894 13 158 473 1
## [159,] 159 317 10 -0.231172388 3 159 476 1
## [160,] 160 319 10 -0.277483268 10 160 479 1
## [161,] 161 321 10 0.751891916 6 161 482 0
## [162,] 162 323 10 0.010718495 6 162 485 1
## [163,] 163 325 10 0.876924899 12 163 488 0
## [164,] 164 327 10 1.674821808 8 164 491 0
## [165,] 165 329 10 0.729260839 6 165 494 0
## [166,] 166 331 10 0.033628595 9 166 497 1
## [167,] 167 333 10 1.047691072 5 167 500 0
## [168,] 168 335 10 0.626243662 8 168 503 0
## [169,] 169 337 10 -0.406662882 6 169 506 1
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## [175,] 175 349 10 -0.270423850 6 175 524 1
## [176,] 176 351 10 -0.150740399 5 176 527 1
## [177,] 177 353 10 1.200689450 7 177 530 0
## [178,] 178 355 10 0.871649828 6 178 533 0
## [179,] 179 357 10 0.727925805 10 179 536 0
## [180,] 180 359 10 -0.510775214 10 180 539 1
## [181,] 181 361 10 -1.298959441 8 181 542 1
## [182,] 182 363 10 0.870301259 7 182 545 0
## [183,] 183 365 10 -0.158003496 11 183 548 1
## [184,] 184 367 10 -1.402136100 7 184 551 1
## [185,] 185 369 10 -0.778087592 9 185 554 1
## [186,] 186 371 10 -1.853200135 9 186 557 1
## [187,] 187 373 10 -0.634365251 7 187 560 1
## [188,] 188 375 10 0.134030000 9 188 563 1
## [189,] 189 377 10 1.460241926 7 189 566 0
## [190,] 190 379 10 1.288663864 7 190 569 0
## [191,] 191 381 10 -0.819242160 8 191 572 1
## [192,] 192 383 10 -1.660953329 7 192 575 1
## [193,] 193 385 10 -2.038096410 13 193 578 1
## [194,] 194 387 10 2.726182405 8 194 581 0
## [195,] 195 389 10 -0.725176704 6 195 584 1
## [196,] 196 391 10 -0.960296222 9 196 587 1
## [197,] 197 393 10 1.961918089 5 197 590 0
## [198,] 198 395 10 -0.360262389 7 198 593 1
## [199,] 199 397 10 -0.056758142 8 199 596 1
## [200,] 200 399 10 -0.809137392 11 200 599 1
## [201,] 201 401 10 0.619410962 8 201 602 0
## [202,] 202 403 10 -0.885846056 6 202 605 1
## [203,] 203 405 10 0.726579550 11 203 608 0
## [204,] 204 407 10 0.507146750 9 204 611 0
## [205,] 205 409 10 1.347659348 11 205 614 0
## [206,] 206 411 10 -0.244160447 11 206 617 1
## [207,] 207 413 10 -0.577601903 11 207 620 1
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## [210,] 210 419 10 -0.274070580 10 210 629 1
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## [213,] 213 425 10 0.871072462 11 213 638 0
## [214,] 214 427 10 -2.093960110 11 214 641 1
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## [218,] 218 435 10 1.572952395 3 218 653 0
## [219,] 219 437 10 -1.046620738 7 219 656 1
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## [230,] 230 459 10 -0.856648180 7 230 689 1
## [231,] 231 461 10 0.147515903 9 231 692 1
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## [236,] 236 471 10 -1.003028873 9 236 707 1
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## [238,] 238 475 10 -1.337422833 10 238 713 1
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## [241,] 241 481 10 -0.502058986 11 241 722 1
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## [243,] 243 485 10 1.439628005 9 243 728 0
## [244,] 244 487 10 -0.736810741 7 244 731 1
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## [252,] 252 503 10 -1.115873296 9 252 755 1
## [253,] 253 505 10 -1.375137398 9 253 758 1
## [254,] 254 507 10 -0.891213942 13 254 761 1
## [255,] 255 509 10 -2.586065745 8 255 764 1
## [256,] 256 511 10 0.697153819 11 256 767 0
## [257,] 257 513 10 -0.038860034 10 257 770 1
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## [261,] 261 521 10 2.196403745 5 261 782 0
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## [263,] 263 525 10 -0.073212510 10 263 788 1
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## [266,] 266 531 10 -0.731198795 7 266 797 1
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## [271,] 271 541 10 1.103208743 8 271 812 0
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## [288,] 288 575 10 -0.427910213 8 288 863 1
## [289,] 289 577 10 -0.736564978 8 289 866 1
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## [295,] 295 589 10 -0.416404167 15 295 884 1
## [296,] 296 591 10 -0.267262903 9 296 887 1
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## [300,] 300 599 10 0.940229831 9 300 899 0
## [301,] 301 601 10 0.698873541 11 301 902 0
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## [303,] 303 605 10 0.725641518 7 303 908 0
## [304,] 304 607 10 -0.683503295 11 304 911 1
## [305,] 305 609 10 -0.883524438 6 305 914 1
## [306,] 306 611 10 -0.644564182 4 306 917 1
## [307,] 307 613 10 0.254840403 11 307 920 0
## [308,] 308 615 10 -0.631450588 7 308 923 1
## [309,] 309 617 10 -0.206493272 12 309 926 1
## [310,] 310 619 10 0.527492153 11 310 929 0
## [311,] 311 621 10 -0.142738257 9 311 932 1
## [312,] 312 623 10 -1.120352138 4 312 935 1
## [313,] 313 625 10 -1.594597234 7 313 938 1
## [314,] 314 627 10 0.779978533 3 314 941 0
## [315,] 315 629 10 1.103865551 4 315 944 0
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## [323,] 323 645 10 1.120130587 5 323 968 0
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## [688,] 688 1375 10 1.611999146 9 5 2063 0
## [689,] 689 1377 10 -0.605092807 4 5 2066 1
## [690,] 690 1379 10 0.039104651 9 7 2069 1
## [691,] 691 1381 10 0.006500653 5 9 2072 1
## [692,] 692 1383 10 1.085102745 6 8 2075 0
## [693,] 693 1385 10 0.080490287 9 4 2078 1
## [694,] 694 1387 10 0.320948863 12 11 2081 0
## [695,] 695 1389 10 0.489816249 11 5 2084 0
## [696,] 696 1391 10 0.462652167 7 7 2087 0
## [697,] 697 1393 10 -0.329778674 7 6 2090 1
## [698,] 698 1395 10 -0.204365157 5 6 2093 1
## [699,] 699 1397 10 0.479403648 10 9 2096 0
## [700,] 700 1399 10 0.613301719 5 8 2099 0
## [701,] 701 1401 10 0.092650679 6 7 2102 1
## [702,] 702 1403 10 0.227290377 13 8 2105 0
## [703,] 703 1405 10 -0.006043971 6 10 2108 1
## [704,] 704 1407 10 2.532319651 6 5 2111 0
## [705,] 705 1409 10 0.854680748 7 8 2114 0
## [706,] 706 1411 10 -1.174562907 9 5 2117 1
## [707,] 707 1413 10 -2.003134674 8 6 2120 1
## [708,] 708 1415 10 0.499530203 7 9 2123 0
## [709,] 709 1417 10 0.398610133 8 8 2126 0
## [710,] 710 1419 10 -1.059033940 8 8 2129 1
## [711,] 711 1421 10 -0.887901557 15 6 2132 1
## [712,] 712 1423 10 1.099135313 12 9 2135 0
## [713,] 713 1425 10 0.273233193 11 7 2138 0
## [714,] 714 1427 10 0.114846389 14 15 2141 1
## [715,] 715 1429 10 -0.304128223 12 9 2144 1
## [716,] 716 1431 10 0.238780885 10 5 2147 0
## [717,] 717 1433 10 0.434060767 7 13 2150 0
## [718,] 718 1435 10 1.806937232 9 10 2153 0
## [719,] 719 1437 10 0.453357362 5 10 2156 0
## [720,] 720 1439 10 -0.491065763 6 7 2159 1
## [721,] 721 1441 10 0.058095676 7 8 2162 1
## [722,] 722 1443 10 -0.638089207 4 10 2165 1
## [723,] 723 1445 10 -2.362727092 7 10 2168 1
## [724,] 724 1447 10 -0.383513023 9 11 2171 1
## [725,] 725 1449 10 -0.970514328 10 5 2174 1
## [726,] 726 1451 10 1.219879190 12 5 2177 0
## [727,] 727 1453 10 -0.778506424 8 9 2180 1
## [728,] 728 1455 10 -0.997978190 9 11 2183 1
## [729,] 729 1457 10 0.016695623 8 7 2186 1
## [730,] 730 1459 10 1.153647785 8 10 2189 0
## [731,] 731 1461 10 -0.205552439 5 8 2192 1
## [732,] 732 1463 10 1.334252482 9 8 2195 0
## [733,] 733 1465 10 -0.520553638 8 8 2198 1
## [734,] 734 1467 10 -0.484096221 12 6 2201 1
## [735,] 735 1469 10 1.374801235 11 9 2204 0
## [736,] 736 1471 10 -1.497703790 9 9 2207 1
## [737,] 737 1473 10 -0.101506232 12 11 2210 1
## [738,] 738 1475 10 -1.450462126 4 10 2213 1
## [739,] 739 1477 10 -0.786648185 7 6 2216 1
## [740,] 740 1479 10 0.618564422 7 7 2219 0
## [741,] 741 1481 10 -0.111271906 6 5 2222 1
## [742,] 742 1483 10 -0.814176175 11 2 2225 1
## [743,] 743 1485 10 -0.638771406 8 8 2228 1
## [744,] 744 1487 10 -0.345008851 8 9 2231 1
## [745,] 745 1489 10 -0.191491003 6 9 2234 1
## [746,] 746 1491 10 -0.744871880 10 5 2237 1
## [747,] 747 1493 10 0.699540734 10 8 2240 0
## [748,] 748 1495 10 0.253572235 6 8 2243 0
## [749,] 749 1497 10 0.955699455 9 4 2246 0
## [750,] 750 1499 10 0.141202618 9 6 2249 1
## [751,] 751 1501 10 -0.819215601 9 8 2252 1
## [752,] 752 1503 10 0.455438879 9 7 2255 0
## [753,] 753 1505 10 -0.730080721 11 8 2258 1
## [754,] 754 1507 10 -1.195832194 8 10 2261 1
## [755,] 755 1509 10 -0.783539550 7 7 2264 1
## [756,] 756 1511 10 -1.152410509 8 3 2267 1
## [757,] 757 1513 10 -0.225688879 11 9 2270 1
## [758,] 758 1515 10 -1.449054917 3 5 2273 1
## [759,] 759 1517 10 -0.955005917 9 9 2276 1
## [760,] 760 1519 10 1.938280616 11 9 2279 0
## [761,] 761 1521 10 0.562199118 9 7 2282 0
## [762,] 762 1523 10 -0.915619124 6 7 2285 1
## [763,] 763 1525 10 -0.441811059 10 8 2288 1
## [764,] 764 1527 10 0.743220611 9 8 2291 0
## [765,] 765 1529 10 -0.375305442 7 6 2294 1
## [766,] 766 1531 10 -0.411078081 8 10 2297 1
## [767,] 767 1533 10 -1.331531572 8 14 2300 1
## [768,] 768 1535 10 -0.509951394 5 7 2303 1
## [769,] 769 1537 10 -0.689975765 12 5 2306 1
## [770,] 770 1539 10 -1.148876840 8 9 2309 1
## [771,] 771 1541 10 0.191953879 6 9 2312 0
## [772,] 772 1543 10 0.353343961 10 12 2315 0
## [773,] 773 1545 10 1.456854288 11 7 2318 0
## [774,] 774 1547 10 0.378908410 8 9 2321 0
## [775,] 775 1549 10 0.222422628 8 3 2324 0
## [776,] 776 1551 10 -0.536548652 11 7 2327 1
## [777,] 777 1553 10 1.367338607 6 6 2330 0
## [778,] 778 1555 10 -1.097013731 6 8 2333 1
## [779,] 779 1557 10 -0.790977306 10 7 2336 1
## [780,] 780 1559 10 0.120071536 10 8 2339 1
## [781,] 781 1561 10 1.294212642 7 10 2342 0
## [782,] 782 1563 10 -1.525144247 10 4 2345 1
## [783,] 783 1565 10 0.475542135 8 7 2348 0
## [784,] 784 1567 10 -0.251510917 5 10 2351 1
## [785,] 785 1569 10 0.934893270 9 6 2354 0
## [786,] 786 1571 10 -0.551864900 8 5 2357 1
## [787,] 787 1573 10 -1.228759015 9 6 2360 1
## [788,] 788 1575 10 -0.859478228 9 9 2363 1
## [789,] 789 1577 10 1.793776203 6 8 2366 0
## [790,] 790 1579 10 0.235982850 9 8 2369 0
## [791,] 791 1581 10 -0.908527032 6 10 2372 1
## [792,] 792 1583 10 -0.463682242 7 9 2375 1
## [793,] 793 1585 10 -2.367124556 8 11 2378 1
## [794,] 794 1587 10 0.565189093 7 5 2381 0
## [795,] 795 1589 10 1.314836043 7 9 2384 0
## [796,] 796 1591 10 0.274480048 8 9 2387 0
## [797,] 797 1593 10 -0.858732813 10 5 2390 1
## [798,] 798 1595 10 -1.072564918 3 3 2393 1
## [799,] 799 1597 10 1.106097772 8 5 2396 0
## [800,] 800 1599 10 -2.271707006 8 7 2399 1
## [801,] 801 1601 10 0.220145492 7 9 2402 0
## [802,] 802 1603 10 1.524245091 11 11 2405 0
## [803,] 803 1605 10 -0.703874850 10 6 2408 1
## [804,] 804 1607 10 0.055089698 7 10 2411 1
## [805,] 805 1609 10 -0.238687881 8 5 2414 1
## [806,] 806 1611 10 -0.154923925 6 10 2417 1
## [807,] 807 1613 10 -1.851793548 8 8 2420 1
## [808,] 808 1615 10 0.381689802 12 8 2423 0
## [809,] 809 1617 10 0.994782593 6 10 2426 0
## [810,] 810 1619 10 -0.312381772 9 11 2429 1
## [811,] 811 1621 10 1.541122293 8 12 2432 0
## [812,] 812 1623 10 0.428243903 7 7 2435 0
## [813,] 813 1625 10 0.943364994 11 11 2438 0
## [814,] 814 1627 10 1.039033246 12 10 2441 0
## [815,] 815 1629 10 1.240292702 6 11 2444 0
## [816,] 816 1631 10 -0.399727542 8 6 2447 1
## [817,] 817 1633 10 0.417081862 8 9 2450 0
## [818,] 818 1635 10 -0.256267795 7 13 2453 1
## [819,] 819 1637 10 0.237388965 5 9 2456 0
## [820,] 820 1639 10 -0.652422355 6 10 2459 1
## [821,] 821 1641 10 0.207740491 6 8 2462 0
## [822,] 822 1643 10 -1.065673618 4 7 2465 1
## [823,] 823 1645 10 -0.866377436 8 6 2468 1
## [824,] 824 1647 10 -0.616453711 9 10 2471 1
## [825,] 825 1649 10 1.274122457 6 6 2474 0
## [826,] 826 1651 10 0.286392645 13 7 2477 0
## [827,] 827 1653 10 -1.268278259 11 11 2480 1
## [828,] 828 1655 10 1.140160406 12 9 2483 0
## [829,] 829 1657 10 0.133328178 7 9 2486 1
## [830,] 830 1659 10 -0.145470662 3 7 2489 1
## [831,] 831 1661 10 -0.162990850 10 8 2492 1
## [832,] 832 1663 10 1.195159457 6 9 2495 0
## [833,] 833 1665 10 -0.351823390 11 8 2498 1
## [834,] 834 1667 10 0.755913218 5 15 2501 0
## [835,] 835 1669 10 0.176018013 7 9 2504 0
## [836,] 836 1671 10 -0.471109820 5 8 2507 1
## [837,] 837 1673 10 0.332776391 9 9 2510 0
## [838,] 838 1675 10 0.567819293 12 5 2513 0
## [839,] 839 1677 10 -0.846738645 9 4 2516 1
## [840,] 840 1679 10 0.203017522 8 7 2519 0
## [841,] 841 1681 10 -0.095068461 6 3 2522 1
## [842,] 842 1683 10 1.650208864 7 11 2525 0
## [843,] 843 1685 10 -1.080870306 6 8 2528 1
## [844,] 844 1687 10 0.105456624 6 7 2531 1
## [845,] 845 1689 10 -1.803823023 7 5 2534 1
## [846,] 846 1691 10 0.601799836 10 12 2537 0
## [847,] 847 1693 10 0.114886385 5 7 2540 1
## [848,] 848 1695 10 0.246583003 8 7 2543 0
## [849,] 849 1697 10 0.944133309 6 6 2546 0
## [850,] 850 1699 10 0.025337883 10 9 2549 1
## [851,] 851 1701 10 -0.277206274 10 5 2552 1
## [852,] 852 1703 10 -1.210418162 10 9 2555 1
## [853,] 853 1705 10 -1.027757349 12 8 2558 1
## [854,] 854 1707 10 0.069728748 4 8 2561 1
## [855,] 855 1709 10 0.897341794 10 10 2564 0
## [856,] 856 1711 10 0.892311253 7 10 2567 0
## [857,] 857 1713 10 1.091820246 8 8 2570 0
## [858,] 858 1715 10 0.952177964 6 6 2573 0
## [859,] 859 1717 10 -0.975243975 7 9 2576 1
## [860,] 860 1719 10 -0.989916497 3 7 2579 1
## [861,] 861 1721 10 0.301647153 10 8 2582 0
## [862,] 862 1723 10 0.675788732 7 11 2585 0
## [863,] 863 1725 10 -0.787775615 12 8 2588 1
## [864,] 864 1727 10 0.053494424 10 12 2591 1
## [865,] 865 1729 10 -0.310798857 8 8 2594 1
## [866,] 866 1731 10 -0.474802051 9 6 2597 1
## [867,] 867 1733 10 -1.154100808 10 8 2600 1
## [868,] 868 1735 10 1.232538087 7 13 2603 0
## [869,] 869 1737 10 -1.510978265 5 6 2606 1
## [870,] 870 1739 10 -0.639724361 8 10 2609 1
## [871,] 871 1741 10 -0.744227101 7 7 2612 1
## [872,] 872 1743 10 -0.275326076 3 9 2615 1
## [873,] 873 1745 10 -0.937285375 9 7 2618 1
## [874,] 874 1747 10 1.162572893 6 4 2621 0
## [875,] 875 1749 10 0.482908239 11 4 2624 0
## [876,] 876 1751 10 -0.653077457 12 6 2627 1
## [877,] 877 1753 10 -0.242781746 9 2 2630 1
## [878,] 878 1755 10 0.728855332 7 10 2633 0
## [879,] 879 1757 10 0.092240721 8 4 2636 1
## [880,] 880 1759 10 0.158711266 8 9 2639 0
## [881,] 881 1761 10 -0.179117856 8 10 2642 1
## [882,] 882 1763 10 -0.296016981 6 5 2645 1
## [883,] 883 1765 10 -0.291139622 10 8 2648 1
## [884,] 884 1767 10 0.516414531 5 6 2651 0
## [885,] 885 1769 10 0.298103491 10 7 2654 0
## [886,] 886 1771 10 -0.113465524 5 9 2657 1
## [887,] 887 1773 10 0.985391768 5 9 2660 0
## [888,] 888 1775 10 -0.191961325 7 8 2663 1
## [889,] 889 1777 10 1.626491443 10 8 2666 0
## [890,] 890 1779 10 1.236980411 9 6 2669 0
## [891,] 891 1781 10 -1.385952760 10 10 2672 1
## [892,] 892 1783 10 -0.831576375 10 9 2675 1
## [893,] 893 1785 10 -0.058850585 6 4 2678 1
## [894,] 894 1787 10 1.043713884 5 6 2681 0
## [895,] 895 1789 10 -0.192781638 13 11 2684 1
## [896,] 896 1791 10 0.264129944 8 7 2687 0
## [897,] 897 1793 10 0.666708405 11 6 2690 0
## [898,] 898 1795 10 -0.294431537 1 5 2693 1
## [899,] 899 1797 10 -0.035629382 10 8 2696 1
## [900,] 900 1799 10 1.410773371 6 4 2699 0
## [901,] 901 1801 10 -0.687512667 10 6 2702 1
## [902,] 902 1803 10 -0.432767364 9 7 2705 1
## [903,] 903 1805 10 -0.561274900 8 10 2708 1
## [904,] 904 1807 10 0.755352255 11 5 2711 0
## [905,] 905 1809 10 -0.917614339 11 9 2714 1
## [906,] 906 1811 10 0.532097253 7 10 2717 0
## [907,] 907 1813 10 -3.616453994 6 9 2720 1
## [908,] 908 1815 10 0.304637731 7 6 2723 0
## [909,] 909 1817 10 0.263887881 7 3 2726 0
## [910,] 910 1819 10 1.673816085 8 6 2729 0
## [911,] 911 1821 10 -0.588884715 11 6 2732 1
## [912,] 912 1823 10 -4.027332472 4 10 2735 1
## [913,] 913 1825 10 -1.275893744 11 6 2738 1
## [914,] 914 1827 10 -0.705223483 8 10 2741 1
## [915,] 915 1829 10 1.301855916 7 7 2744 0
## [916,] 916 1831 10 0.452566846 12 4 2747 0
## [917,] 917 1833 10 -0.501860684 10 12 2750 1
## [918,] 918 1835 10 -0.568076658 9 10 2753 1
## [919,] 919 1837 10 -1.719275207 7 10 2756 1
## [920,] 920 1839 10 -0.009917378 10 6 2759 1
## [921,] 921 1841 10 0.619027240 8 12 2762 0
## [922,] 922 1843 10 0.824839155 11 5 2765 0
## [923,] 923 1845 10 -0.156015377 8 6 2768 1
## [924,] 924 1847 10 -0.242771319 10 8 2771 1
## [925,] 925 1849 10 0.269231411 7 8 2774 0
## [926,] 926 1851 10 -1.196557508 8 10 2777 1
## [927,] 927 1853 10 1.804787269 7 8 2780 0
## [928,] 928 1855 10 -0.620193768 9 9 2783 1
## [929,] 929 1857 10 -0.612480503 4 7 2786 1
## [930,] 930 1859 10 1.221717390 11 7 2789 0
## [931,] 931 1861 10 -0.472974610 9 4 2792 1
## [932,] 932 1863 10 1.346177031 7 10 2795 0
## [933,] 933 1865 10 -0.869482170 6 8 2798 1
## [934,] 934 1867 10 1.485370045 8 10 2801 0
## [935,] 935 1869 10 -2.052083096 12 7 2804 1
## [936,] 936 1871 10 -0.758468427 9 7 2807 1
## [937,] 937 1873 10 -0.579778054 10 8 2810 1
## [938,] 938 1875 10 -1.155353330 10 9 2813 1
## [939,] 939 1877 10 -1.563093231 9 6 2816 1
## [940,] 940 1879 10 1.140603626 9 9 2819 0
## [941,] 941 1881 10 -1.088696999 3 11 2822 1
## [942,] 942 1883 10 0.865777485 5 12 2825 0
## [943,] 943 1885 10 0.575874038 10 9 2828 0
## [944,] 944 1887 10 0.015327167 10 8 2831 1
## [945,] 945 1889 10 0.151780337 8 9 2834 0
## [946,] 946 1891 10 -0.206518401 4 9 2837 1
## [947,] 947 1893 10 -1.250346223 8 7 2840 1
## [948,] 948 1895 10 -0.257665169 4 10 2843 1
## [949,] 949 1897 10 -0.115291080 5 5 2846 1
## [950,] 950 1899 10 -1.431795570 5 6 2849 1
## [951,] 951 1901 10 0.381891539 7 7 2852 0
## [952,] 952 1903 10 -1.523808828 8 10 2855 1
## [953,] 953 1905 10 -1.419428623 10 9 2858 1
## [954,] 954 1907 10 1.988268392 7 14 2861 0
## [955,] 955 1909 10 1.059900115 7 10 2864 0
## [956,] 956 1911 10 0.296732012 6 11 2867 0
## [957,] 957 1913 10 -0.281293632 8 9 2870 1
## [958,] 958 1915 10 0.409054832 8 10 2873 0
## [959,] 959 1917 10 0.053353709 7 8 2876 1
## [960,] 960 1919 10 0.814284597 11 6 2879 0
## [961,] 961 1921 10 -0.722900920 8 9 2882 1
## [962,] 962 1923 10 -0.206561584 7 7 2885 1
## [963,] 963 1925 10 0.683714978 7 6 2888 0
## [964,] 964 1927 10 0.732267049 8 14 2891 0
## [965,] 965 1929 10 0.290467066 9 9 2894 0
## [966,] 966 1931 10 0.732732636 8 8 2897 0
## [967,] 967 1933 10 -0.472806754 7 10 2900 1
## [968,] 968 1935 10 -0.096204955 4 12 2903 1
## [969,] 969 1937 10 -1.005744669 10 7 2906 1
## [970,] 970 1939 10 1.013827341 11 8 2909 0
## [971,] 971 1941 10 0.607295944 8 7 2912 0
## [972,] 972 1943 10 -1.395675432 12 7 2915 1
## [973,] 973 1945 10 0.642371506 13 5 2918 0
## [974,] 974 1947 10 -1.364705973 10 4 2921 1
## [975,] 975 1949 10 0.216713987 8 7 2924 0
## [976,] 976 1951 10 -0.521534568 9 12 2927 1
## [977,] 977 1953 10 -1.571571629 7 9 2930 1
## [978,] 978 1955 10 -0.078294167 8 8 2933 1
## [979,] 979 1957 10 -0.507567519 10 4 2936 1
## [980,] 980 1959 10 1.183500057 9 5 2939 0
## [981,] 981 1961 10 0.884082618 7 7 2942 0
## [982,] 982 1963 10 -1.304437569 5 6 2945 1
## [983,] 983 1965 10 0.775770505 7 8 2948 0
## [984,] 984 1967 10 0.327703414 8 7 2951 0
## [985,] 985 1969 10 -1.214726050 7 5 2954 1
## [986,] 986 1971 10 1.764981518 8 9 2957 0
## [987,] 987 1973 10 -0.274034753 6 3 2960 1
## [988,] 988 1975 10 0.921002532 7 6 2963 0
## [989,] 989 1977 10 -0.502669407 5 6 2966 1
## [990,] 990 1979 10 0.019810609 4 4 2969 1
## [991,] 991 1981 10 0.546577124 7 7 2972 0
## [992,] 992 1983 10 -0.078895647 5 9 2975 1
## [993,] 993 1985 10 -3.252995592 9 8 2978 1
## [994,] 994 1987 10 2.702282882 12 8 2981 0
## [995,] 995 1989 10 -0.917110641 14 10 2984 1
## [996,] 996 1991 10 -0.248714731 8 9 2987 1
## [997,] 997 1993 10 0.970770484 9 7 2990 0
## [998,] 998 1995 10 0.458481815 6 10 2993 0
## [999,] 999 1997 10 -0.628529443 2 8 2996 1
## [1000,] 1 1999 10 -1.047047505 9 9 2000 1
## [1001,] 2 1 10 0.947209389 10 8 2 0
## [1002,] 3 3 10 0.075560624 7 9 5 1head(objeto_matriz, n=10)## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
## [1,] 1 1 10 0.94720939 10 1 2 0
## [2,] 2 3 10 0.07556062 7 2 5 1
## [3,] 3 5 10 -2.31106060 7 3 8 1
## [4,] 4 7 10 -1.08924400 6 4 11 1
## [5,] 5 9 10 0.20071951 4 5 14 0
## [6,] 6 11 10 0.94224017 7 6 17 0
## [7,] 7 13 10 -0.24260602 7 7 20 1
## [8,] 8 15 10 0.21332061 5 8 23 0
## [9,] 9 17 10 0.58901802 9 9 26 0
## [10,] 10 19 10 -0.61770334 7 10 29 1#C.es importante ya que, nos permite explorar los datos y al transformalo a data frame admite variables de tipo no numericas. #D.A nuestras variables se les pueden aplicar disntintas funciones matematicas y esta funcion nos permite ver un resumen de los resultados.
data<- data.frame(objeto_matriz)
data## X1 X2 X3 X4 X5 X6 X7 X8
## 1 1 1 10 0.947209389 10 1 2 0
## 2 2 3 10 0.075560624 7 2 5 1
## 3 3 5 10 -2.311060599 7 3 8 1
## 4 4 7 10 -1.089244000 6 4 11 1
## 5 5 9 10 0.200719515 4 5 14 0
## 6 6 11 10 0.942240173 7 6 17 0
## 7 7 13 10 -0.242606021 7 7 20 1
## 8 8 15 10 0.213320614 5 8 23 0
## 9 9 17 10 0.589018016 9 9 26 0
## 10 10 19 10 -0.617703345 7 10 29 1
## 11 11 21 10 0.067987712 10 11 32 1
## 12 12 23 10 0.420390132 9 12 35 0
## 13 13 25 10 0.823523161 6 13 38 0
## 14 14 27 10 1.848085024 7 14 41 0
## 15 15 29 10 2.345964213 7 15 44 0
## 16 16 31 10 -0.453980739 8 16 47 1
## 17 17 33 10 0.228549839 12 17 50 0
## 18 18 35 10 0.656376105 6 18 53 0
## 19 19 37 10 0.764070998 10 19 56 0
## 20 20 39 10 -0.811956601 10 20 59 1
## 21 21 41 10 -0.127929423 11 21 62 1
## 22 22 43 10 -0.340100451 11 22 65 1
## 23 23 45 10 0.064449351 8 23 68 1
## 24 24 47 10 0.215146558 8 24 71 0
## 25 25 49 10 -0.664229577 10 25 74 1
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## 900 900 1799 10 1.410773371 6 4 2699 0
## 901 901 1801 10 -0.687512667 10 6 2702 1
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## 962 962 1923 10 -0.206561584 7 7 2885 1
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## 968 968 1935 10 -0.096204955 4 12 2903 1
## 969 969 1937 10 -1.005744669 10 7 2906 1
## 970 970 1939 10 1.013827341 11 8 2909 0
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## 972 972 1943 10 -1.395675432 12 7 2915 1
## 973 973 1945 10 0.642371506 13 5 2918 0
## 974 974 1947 10 -1.364705973 10 4 2921 1
## 975 975 1949 10 0.216713987 8 7 2924 0
## 976 976 1951 10 -0.521534568 9 12 2927 1
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## 978 978 1955 10 -0.078294167 8 8 2933 1
## 979 979 1957 10 -0.507567519 10 4 2936 1
## 980 980 1959 10 1.183500057 9 5 2939 0
## 981 981 1961 10 0.884082618 7 7 2942 0
## 982 982 1963 10 -1.304437569 5 6 2945 1
## 983 983 1965 10 0.775770505 7 8 2948 0
## 984 984 1967 10 0.327703414 8 7 2951 0
## 985 985 1969 10 -1.214726050 7 5 2954 1
## 986 986 1971 10 1.764981518 8 9 2957 0
## 987 987 1973 10 -0.274034753 6 3 2960 1
## 988 988 1975 10 0.921002532 7 6 2963 0
## 989 989 1977 10 -0.502669407 5 6 2966 1
## 990 990 1979 10 0.019810609 4 4 2969 1
## 991 991 1981 10 0.546577124 7 7 2972 0
## 992 992 1983 10 -0.078895647 5 9 2975 1
## 993 993 1985 10 -3.252995592 9 8 2978 1
## 994 994 1987 10 2.702282882 12 8 2981 0
## 995 995 1989 10 -0.917110641 14 10 2984 1
## 996 996 1991 10 -0.248714731 8 9 2987 1
## 997 997 1993 10 0.970770484 9 7 2990 0
## 998 998 1995 10 0.458481815 6 10 2993 0
## 999 999 1997 10 -0.628529443 2 8 2996 1
## 1000 1 1999 10 -1.047047505 9 9 2000 1
## 1001 2 1 10 0.947209389 10 8 2 0
## 1002 3 3 10 0.075560624 7 9 5 1summary(data$X3)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 10 10 10 10 10 10summary(data$X4)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## -4.02733 -0.58151 0.07882 0.08899 0.75449 3.18611##TAREA PARTE2
casen <- calidad::casen
dim(casen)## [1] 185437 10colnames(casen)## [1] "folio" "edad" "sexo" "activ" "ing_aut_hog"
## [6] "pobreza" "estrato" "cod_upm" "expr" "region"#A. el marco de datos tiene 185437 filas y 10 columnas, las filas representan a una persona y las colunmas son los vectores, los nombres de las columnas son “folio” “edad” “sexo” “activ” “ing_aut_hog” “pobreza” “estrato” “cod_upm” “expr” “region” y los tipos de variables son las siguientes: Sexo: nominal, Edad: Razón, Folio: Nominal, Condición de activididad: Ordinal, Ingreso autónomo: razón, Pobreza: Ordinal, Estrato: Nominal, Unidad primaria de muestreo: Nominal, Factor expansión regional: razón, Región: ordinal.
summary(casen)## folio edad sexo activ
## Min. :1.101e+11 Min. : 0.0 Min. :1.000 Min. :1.000
## 1st Qu.:5.704e+11 1st Qu.: 19.0 1st Qu.:1.000 1st Qu.:1.000
## Median :9.101e+11 Median : 37.0 Median :2.000 Median :2.000
## Mean :8.977e+11 Mean : 38.4 Mean :1.536 Mean :1.999
## 3rd Qu.:1.311e+12 3rd Qu.: 57.0 3rd Qu.:2.000 3rd Qu.:3.000
## Max. :1.631e+12 Max. :110.0 Max. :2.000 Max. :3.000
## NA's :34122
## ing_aut_hog pobreza estrato cod_upm
## Min. : 0 Min. :1.000 Min. : 11011 Min. :1.102e+09
## 1st Qu.: 87222 1st Qu.:3.000 1st Qu.: 57041 1st Qu.:1.401e+12
## Median : 166667 Median :3.000 Median : 91011 Median :7.201e+12
## Mean : 285643 Mean :2.839 Mean : 89769 Mean :7.109e+12
## 3rd Qu.: 318611 3rd Qu.:3.000 3rd Qu.:131141 3rd Qu.:1.311e+13
## Max. :225200000 Max. :3.000 Max. :163052 Max. :1.630e+13
## NA's :98
## expr region
## Min. : 4.0 Min. : 1.00
## 1st Qu.: 48.0 1st Qu.: 5.00
## Median : 79.0 Median : 9.00
## Mean : 105.4 Mean : 8.79
## 3rd Qu.: 126.0 3rd Qu.:13.00
## Max. :19046.0 Max. :16.00
## #B. La funcion summary nos da un resumen por variable, mostrando resultados relevantes como la mediana, moda, minimo y maximo, etc. Nos sirve para aplicar varias funciones matematicas de una vez y tener los resultados ordenados.
#Media
promedio <-function(input){
suma<-sum(input)
n<-length(input)
mi_promedio<-suma/n
return(mi_promedio)}
promedio(casen$ing_aut_hog)## [1] 285642.8mean(casen$ing_aut_hog)## [1] 285642.8#Desviacion estandar
mi_sd <-function(input){
media <- sum(input)/length(input)
diferencias_cuadradas <- (input - media)^2
suma_diferencias_cuadradas <- sum(diferencias_cuadradas)
denominador <-length(input) -1
varianza <- suma_diferencias_cuadradas/denominador
desviacion_estandar<- sqrt(varianza)
return(desviacion_estandar)}
mi_sd(casen$ing_aut_hog)## [1] 742407.5sd(casen$ing_aut_hog)## [1] 742407.5R Markdown
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