Extract changepoints
changepoints.RdNot to be confused with wbs::changepoints(), which returns different
information.
Usage
# S3 method for mod_cpt
changepoints(x, ...)
# S3 method for seg_basket
changepoints(x, ...)
# S3 method for seg_cpt
changepoints(x, ...)
# S3 method for tidycpt
changepoints(x, use_labels = FALSE, ...)
changepoints(x, ...)
# S3 method for default
changepoints(x, ...)
seg_params(x, ...)
# S3 method for ga
changepoints(x, ...)
# S3 method for cpt
changepoints(x, ...)
# S3 method for wbs
changepoints(x, ...)Arguments
- x
A
tidycptobject- ...
arguments passed to methods
- use_labels
return the time labels for the changepoints instead of the indices.
See also
Other tidychangepoint-generics:
diagnose.mod_cpt(),
exceedances(),
fitness.seg_basket()
Other tidychangepoint-generics:
diagnose.mod_cpt(),
exceedances(),
fitness.seg_basket()
Examples
cpts <- segment(DataCPSim, method = "ga", maxiter = 5)
changepoints(cpts$segmenter)
#> x2 x3 x4 x5 x9 x11 x12 x14 x17 x19 x22 x23 x24
#> 2 3 4 5 9 11 12 14 17 19 22 23 24
#> x25 x28 x33 x35 x39 x40 x43 x45 x47 x55 x57 x58 x59
#> 25 28 33 35 39 40 43 45 47 55 57 58 59
#> x60 x68 x72 x73 x74 x77 x79 x81 x82 x83 x85 x86 x87
#> 60 68 72 73 74 77 79 81 82 83 85 86 87
#> x88 x93 x96 x97 x98 x99 x100 x104 x105 x107 x108 x114 x116
#> 88 93 96 97 98 99 100 104 105 107 108 114 116
#> x117 x120 x121 x125 x126 x128 x130 x133 x135 x136 x139 x140 x141
#> 117 120 121 125 126 128 130 133 135 136 139 140 141
#> x160 x161 x163 x164 x167 x168 x171 x173 x176 x181 x184 x185 x186
#> 160 161 163 164 167 168 171 173 176 181 184 185 186
#> x189 x190 x195 x199 x200 x207 x212 x213 x214 x215 x220 x221 x223
#> 189 190 195 199 200 207 212 213 214 215 220 221 223
#> x226 x228 x230 x231 x234 x235 x236 x238 x240 x243 x246 x249 x250
#> 226 228 230 231 234 235 236 238 240 243 246 249 250
#> x251 x253 x254 x255 x256 x261 x263 x267 x268 x271 x273 x274 x276
#> 251 253 254 255 256 261 263 267 268 271 273 274 276
#> x278 x279 x281 x285 x286 x288 x289 x291 x292 x293 x295 x299 x300
#> 278 279 281 285 286 288 289 291 292 293 295 299 300
#> x301 x304 x307 x309 x311 x313 x314 x317 x323 x326 x327 x329 x332
#> 301 304 307 309 311 313 314 317 323 326 327 329 332
#> x333 x337 x339 x340 x342 x344 x345 x346 x347 x348 x349 x353 x355
#> 333 337 339 340 342 344 345 346 347 348 349 353 355
#> x358 x359 x360 x361 x368 x370 x371 x372 x373 x374 x377 x379 x381
#> 358 359 360 361 368 370 371 372 373 374 377 379 381
#> x383 x385 x386 x387 x388 x389 x392 x395 x396 x397 x403 x404 x409
#> 383 385 386 387 388 389 392 395 396 397 403 404 409
#> x410 x412 x414 x416 x417 x419 x420 x424 x426 x427 x428 x429 x433
#> 410 412 414 416 417 419 420 424 426 427 428 429 433
#> x437 x439 x440 x445 x449 x450 x455 x456 x461 x462 x463 x467 x468
#> 437 439 440 445 449 450 455 456 461 462 463 467 468
#> x470 x473 x480 x482 x483 x484 x487 x488 x489 x493 x494 x497 x500
#> 470 473 480 482 483 484 487 488 489 493 494 497 500
#> x502 x503 x504 x508 x509 x511 x516 x517 x524 x527 x529 x530 x532
#> 502 503 504 508 509 511 516 517 524 527 529 530 532
#> x533 x534 x537 x538 x539 x540 x545 x546 x548 x549 x550 x551 x556
#> 533 534 537 538 539 540 545 546 548 549 550 551 556
#> x557 x558 x559 x560 x563 x564 x565 x566 x568 x573 x574 x581 x582
#> 557 558 559 560 563 564 565 566 568 573 574 581 582
#> x583 x584 x585 x588 x595 x597 x598 x602 x603 x605 x606 x607 x610
#> 583 584 585 588 595 597 598 602 603 605 606 607 610
#> x611 x612 x614 x616 x617 x618 x619 x622 x623 x630 x632 x633 x634
#> 611 612 614 616 617 618 619 622 623 630 632 633 634
#> x635 x638 x640 x641 x642 x645 x646 x648 x655 x660 x663 x668 x669
#> 635 638 640 641 642 645 646 648 655 660 663 668 669
#> x670 x671 x675 x676 x677 x679 x681 x682 x683 x684 x685 x686 x687
#> 670 671 675 676 677 679 681 682 683 684 685 686 687
#> x688 x691 x692 x695 x696 x697 x698 x699 x700 x701 x702 x705 x708
#> 688 691 692 695 696 697 698 699 700 701 702 705 708
#> x710 x714 x716 x717 x720 x722 x723 x726 x727 x728 x729 x731 x732
#> 710 714 716 717 720 722 723 726 727 728 729 731 732
#> x734 x736 x738 x742 x744 x746 x747 x748 x750 x752 x755 x758 x759
#> 734 736 738 742 744 746 747 748 750 752 755 758 759
#> x761 x762 x766 x768 x769 x771 x775 x776 x778 x779 x781 x783 x784
#> 761 762 766 768 769 771 775 776 778 779 781 783 784
#> x785 x786 x795 x798 x799 x803 x804 x805 x810 x812 x813 x814 x816
#> 785 786 795 798 799 803 804 805 810 812 813 814 816
#> x817 x818 x821 x822 x827 x828 x832 x834 x836 x839 x840 x841 x848
#> 817 818 821 822 827 828 832 834 836 839 840 841 848
#> x849 x851 x852 x853 x855 x857 x858 x860 x862 x865 x866 x868 x872
#> 849 851 852 853 855 857 858 860 862 865 866 868 872
#> x876 x877 x885 x886 x889 x890 x894 x898 x899 x900 x901 x902 x903
#> 876 877 885 886 889 890 894 898 899 900 901 902 903
#> x905 x906 x907 x911 x912 x914 x916 x918 x920 x921 x923 x926 x927
#> 905 906 907 911 912 914 916 918 920 921 923 926 927
#> x928 x931 x932 x937 x938 x940 x942 x943 x944 x946 x947 x950 x951
#> 928 931 932 937 938 940 942 943 944 946 947 950 951
#> x952 x953 x955 x956 x958 x960 x961 x964 x967 x968 x970 x971 x972
#> 952 953 955 956 958 960 961 964 967 968 970 971 972
#> x973 x974 x975 x978 x981 x983 x984 x986 x988 x989 x990 x992 x998
#> 973 974 975 978 981 983 984 986 988 989 990 992 998
#> x999 x1000 x1005 x1006 x1011 x1014 x1017 x1019 x1025 x1026 x1028 x1030 x1032
#> 999 1000 1005 1006 1011 1014 1017 1019 1025 1026 1028 1030 1032
#> x1033 x1034 x1038 x1039 x1041 x1042 x1044 x1047 x1049 x1050 x1051 x1052 x1055
#> 1033 1034 1038 1039 1041 1042 1044 1047 1049 1050 1051 1052 1055
#> x1057 x1058 x1059 x1061 x1062 x1065 x1066 x1072 x1074 x1077 x1082 x1083 x1084
#> 1057 1058 1059 1061 1062 1065 1066 1072 1074 1077 1082 1083 1084
#> x1086 x1087 x1091 x1094
#> 1086 1087 1091 1094
cpts <- segment(DataCPSim, method = "wbs")
changepoints(cpts$segmenter)
#> [1] 547 822 972 997 999 1031 1033 1040 1041 1063 1066