Extract changepoints
changepoints.RdRetrieve the indices of the changepoints identified by an algorithm or model.
Usage
changepoints(x, ...)
# Default S3 method
changepoints(x, ...)
# S3 method for class 'mod_cpt'
changepoints(x, ...)
# S3 method for class 'seg_basket'
changepoints(x, ...)
# S3 method for class 'seg_cpt'
changepoints(x, ...)
# S3 method for class 'tidycpt'
changepoints(x, use_labels = FALSE, ...)
# S3 method for class 'ga'
changepoints(x, ...)
# S3 method for class 'cpt'
changepoints(x, ...)
# S3 method for class 'wbs'
changepoints(x, ...)Value
a numeric vector of changepoint indices, or, if use_labels is
TRUE, a character of time labels.
Details
tidycpt objects, as well as their segmenter and model components,
implement changepoints() methods.
Note that this function is not to be confused with wbs::changepoints(),
which returns different information.
For the default method, changepoints() will attempt to return the
cpt_true attribute, which is set by test_set().
See also
Other tidycpt-generics:
as.model(),
as.segmenter(),
diagnose(),
fitness(),
model_name()
Examples
cpts <- segment(DataCPSim, method = "ga", maxiter = 5)
changepoints(cpts$segmenter)
#> x4 x7 x13 x19 x20 x23 x24 x25 x26 x27 x28 x29 x31
#> 4 7 13 19 20 23 24 25 26 27 28 29 31
#> x32 x38 x39 x40 x42 x47 x48 x49 x51 x54 x57 x58 x59
#> 32 38 39 40 42 47 48 49 51 54 57 58 59
#> x67 x72 x73 x76 x77 x78 x82 x84 x85 x87 x91 x92 x93
#> 67 72 73 76 77 78 82 84 85 87 91 92 93
#> x94 x98 x102 x104 x106 x108 x109 x112 x113 x115 x118 x122 x124
#> 94 98 102 104 106 108 109 112 113 115 118 122 124
#> x125 x133 x134 x136 x138 x141 x142 x145 x146 x154 x158 x161 x163
#> 125 133 134 136 138 141 142 145 146 154 158 161 163
#> x164 x165 x166 x167 x169 x170 x171 x172 x174 x178 x182 x183 x185
#> 164 165 166 167 169 170 171 172 174 178 182 183 185
#> x187 x188 x190 x191 x195 x196 x197 x199 x200 x202 x205 x207 x210
#> 187 188 190 191 195 196 197 199 200 202 205 207 210
#> x213 x214 x216 x219 x225 x230 x231 x236 x240 x242 x243 x247 x253
#> 213 214 216 219 225 230 231 236 240 242 243 247 253
#> x254 x255 x259 x260 x262 x263 x265 x266 x268 x269 x270 x271 x272
#> 254 255 259 260 262 263 265 266 268 269 270 271 272
#> x275 x278 x279 x280 x281 x282 x283 x285 x287 x288 x289 x290 x291
#> 275 278 279 280 281 282 283 285 287 288 289 290 291
#> x293 x294 x295 x300 x302 x305 x312 x314 x315 x316 x318 x319 x321
#> 293 294 295 300 302 305 312 314 315 316 318 319 321
#> x326 x327 x328 x329 x330 x331 x333 x335 x336 x338 x339 x347 x348
#> 326 327 328 329 330 331 333 335 336 338 339 347 348
#> x350 x351 x354 x356 x357 x362 x364 x366 x369 x370 x371 x372 x376
#> 350 351 354 356 357 362 364 366 369 370 371 372 376
#> x377 x382 x383 x384 x389 x390 x391 x396 x397 x404 x405 x406 x407
#> 377 382 383 384 389 390 391 396 397 404 405 406 407
#> x408 x411 x412 x414 x415 x417 x418 x422 x423 x428 x429 x432 x435
#> 408 411 412 414 415 417 418 422 423 428 429 432 435
#> x437 x439 x440 x442 x443 x445 x446 x447 x448 x450 x451 x452 x453
#> 437 439 440 442 443 445 446 447 448 450 451 452 453
#> x455 x457 x458 x463 x466 x469 x470 x471 x473 x476 x477 x479 x480
#> 455 457 458 463 466 469 470 471 473 476 477 479 480
#> x482 x485 x488 x490 x491 x492 x497 x500 x502 x503 x506 x507 x509
#> 482 485 488 490 491 492 497 500 502 503 506 507 509
#> x512 x513 x515 x518 x522 x525 x527 x529 x530 x532 x534 x535 x536
#> 512 513 515 518 522 525 527 529 530 532 534 535 536
#> x537 x538 x540 x541 x542 x543 x545 x548 x553 x559 x563 x564 x565
#> 537 538 540 541 542 543 545 548 553 559 563 564 565
#> x566 x569 x570 x575 x577 x580 x585 x586 x587 x590 x591 x593 x595
#> 566 569 570 575 577 580 585 586 587 590 591 593 595
#> x597 x600 x601 x602 x603 x606 x607 x610 x612 x613 x614 x615 x619
#> 597 600 601 602 603 606 607 610 612 613 614 615 619
#> x620 x621 x624 x630 x631 x633 x634 x635 x639 x641 x642 x645 x646
#> 620 621 624 630 631 633 634 635 639 641 642 645 646
#> x647 x648 x652 x653 x656 x658 x660 x662 x663 x664 x665 x668 x669
#> 647 648 652 653 656 658 660 662 663 664 665 668 669
#> x670 x671 x675 x676 x678 x679 x681 x685 x688 x689 x690 x697 x699
#> 670 671 675 676 678 679 681 685 688 689 690 697 699
#> x700 x702 x704 x706 x707 x712 x713 x714 x716 x718 x719 x720 x721
#> 700 702 704 706 707 712 713 714 716 718 719 720 721
#> x723 x725 x726 x729 x731 x733 x734 x735 x737 x738 x740 x744 x746
#> 723 725 726 729 731 733 734 735 737 738 740 744 746
#> x747 x748 x752 x754 x755 x756 x757 x759 x761 x762 x766 x767 x770
#> 747 748 752 754 755 756 757 759 761 762 766 767 770
#> x771 x773 x777 x779 x781 x782 x783 x784 x787 x788 x790 x791 x793
#> 771 773 777 779 781 782 783 784 787 788 790 791 793
#> x797 x799 x802 x803 x804 x805 x809 x810 x811 x812 x817 x820 x822
#> 797 799 802 803 804 805 809 810 811 812 817 820 822
#> x824 x825 x827 x832 x833 x836 x837 x839 x841 x842 x843 x846 x848
#> 824 825 827 832 833 836 837 839 841 842 843 846 848
#> x852 x856 x857 x862 x866 x869 x870 x873 x875 x876 x878 x879 x880
#> 852 856 857 862 866 869 870 873 875 876 878 879 880
#> x884 x886 x888 x889 x890 x892 x897 x899 x900 x904 x905 x906 x908
#> 884 886 888 889 890 892 897 899 900 904 905 906 908
#> x909 x910 x912 x913 x914 x915 x916 x917 x918 x920 x921 x925 x926
#> 909 910 912 913 914 915 916 917 918 920 921 925 926
#> x928 x929 x930 x931 x935 x937 x938 x939 x942 x944 x945 x946 x947
#> 928 929 930 931 935 937 938 939 942 944 945 946 947
#> x951 x952 x953 x954 x956 x959 x961 x962 x968 x972 x975 x976 x980
#> 951 952 953 954 956 959 961 962 968 972 975 976 980
#> x981 x985 x986 x987 x989 x990 x991 x992 x993 x994 x995 x996 x997
#> 981 985 986 987 989 990 991 992 993 994 995 996 997
#> x998 x1000 x1001 x1003 x1005 x1006 x1008 x1010 x1011 x1016 x1020 x1021 x1023
#> 998 1000 1001 1003 1005 1006 1008 1010 1011 1016 1020 1021 1023
#> x1027 x1028 x1036 x1037 x1039 x1040 x1043 x1044 x1049 x1050 x1053 x1054 x1056
#> 1027 1028 1036 1037 1039 1040 1043 1044 1049 1050 1053 1054 1056
#> x1062 x1065 x1066 x1067 x1068 x1072 x1073 x1076 x1080 x1081 x1082 x1085 x1086
#> 1062 1065 1066 1067 1068 1072 1073 1076 1080 1081 1082 1085 1086
#> x1087 x1089 x1091 x1092 x1093 x1094
#> 1087 1089 1091 1092 1093 1094
cpts <- segment(DataCPSim, method = "wbs")
changepoints(cpts$segmenter)
#> [1] 547 822 939 972 980 982 997 999 1031 1032 1040 1041 1063 1066