result <- datsteps(Beazley, stepsize = "auto")
#> Using 'weight'-calculation (see https://doi.org/10.1017/aap.2021.8).
-#> [1] "Using stepsize = 51 (auto)."
-#> Warning in create.sub.objects(DAT_list, stepsize, calc, cumulative): stepsize
-#> is larger than the range of the closest dated object at Index = 1, 2, 3, 4, 5,
-#> 6, 7, 8, 9, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29,
-#> 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 42, 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, 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, 125, 126, 127,
-#> 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 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, 176, 177, 178,
-#> 179, 180, 181, 182, 183, 184, 186, 187, 188, 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, 232, 233, 234, 236, 237, 238, 239, 240, 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, 269, 270, 271, 273, 275, 276, 277, 279, 280, 281, 282, 283,
-#> 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299,
-#> 301, 302, 303, 304, 305, 307, 308, 309, 310, 311, 312, 314, 315, 316, 317, 318,
-#> 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 335, 336,
-#> 337, 339, 340, 341, 342, 343, 344, 345, 347, 348, 349, 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, 387, 388,
-#> 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, 433, 434, 436, 437, 438, 439,
-#> 440, 441, 442, 443, 444, 445, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456,
-#> 457, 458, 459, 460, 461, 462, 463, 464, 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, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506,
-#> 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522,
-#> 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538,
-#> 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554,
-#> 555, 556, 557, 559, 560, 561, 562, 563, 564, 565, 566, 567, 569, 570, 571, 572,
-#> 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588,
-#> 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 605, 606,
-#> 607, 608, 609, 610, 611, 612, 613, 615, 616, 617, 618, 619, 620, 621, 622, 623,
-#> 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640,
-#> 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 657,
-#> 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 674,
-#> 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 692,
-#> 693, 694, 695, 698, 699, 700, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711,
-#> 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727,
-#> 728, 729, 730, 731, 732, 733, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744,
-#> 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 759, 760, 761,
-#> 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777,
-#> 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793,
-#> 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809,
-#> 810, 811, 812, 813, 814, 815, 817, 818, 819, 820, 821, 822, 823, 825, 826, 827,
-#> 828, 829, 830, 831, 832, 833, 834, 835, 836, 838, 839, 840, 841, 842, 843, 844,
-#> 845, 846, 847, 848, 851, 852, 853, 855, 856, 857, 858, 859, 860, 861, 862, 863,
-#> 864, 865, 866, 868, 869, 870, 871, 872, 873, 875, 876, 877, 878, 879, 881, 882,
-#> 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898,
-#> 899, 900, 901, 902, 903, 904, 905, 906, 907, 909, 910, 911, 913, 914, 915, 916,
-#> 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932,
-#> 933, 934, 935, 936, 937, 938, 939, 940, 941, 943, 944, 945, 946, 947, 948, 949,
-#> 950, 951, 952, 953, 954, 955, 956, 958, 959, 961, 962, 963, 964, 965, 966, 967,
-#> 968, 969, 970, 971, 972, 973, 974, 975, 976, 977, 978, 979, 980, 982, 983, 984,
-#> 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 998, 999, 1000).
-#> For information see documentation of get.step.sequence().
+#> Using stepsize = 50 (auto).
ggplot(result, aes(x = DAT_step, fill = variable)) + Plot_Theme + Plot_Fill +
geom_histogram(binwidth = attributes(result)$stepsize, position = "dodge")
@@ -441,17 +381,9 @@ How to Display a Range?-550
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-| 10957 |
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-525 |
@@ -459,21 +391,29 @@ How to Display a Range?0.02
| -525 |
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+
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-525 |
-475 |
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--525 |
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@@ -610,7 +550,8 @@ Plots for the Distrib
result_bith <- scaleweight(datsteps(Inscr_Bithynia, stepsize = "auto"),
var = "all")
#> Using 'weight'-calculation (see https://doi.org/10.1017/aap.2021.8).
-#> [1] "Using stepsize = 1 (auto)."
+#> Using stepsize = 1 (auto).
+#> DAT_min and DAT_max at Index: 57, 68, 120, 173, 187, 238, 299, 300, 311, 312, 588, 590, 599, 679, 794, 798, 799, 828, 831, 833, 834, 837, 841, 878, 879, 908, 909, 914, 915, 931, 932, 933, 937, 938, 941, 942, 997, 1051, 1064, 1067, 1130, 1307, 1308, 1310, 1322, 1323, 1324 have the same value! Is this correct? If unsure, check your data for possible errors.
ggplot(result_bith, aes(x = DAT_step)) + Plot_Theme + Plot_Fill +
geom_density(alpha = 0.5, fill = "grey30") + xlab("Dating")
diff --git a/articles/how-to_files/figure-html/cumulative demo-1.png b/articles/how-to_files/figure-html/cumulative demo-1.png
index b4c0872..0df33cc 100644
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diff --git a/articles/how-to_files/figure-html/steps2-1.png b/articles/how-to_files/figure-html/steps2-1.png
index cd60e3e..6c0a31d 100644
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diff --git a/articles/index.html b/articles/index.html
index 95c1f21..f4648eb 100644
--- a/articles/index.html
+++ b/articles/index.html
@@ -10,7 +10,7 @@
datplot
- 1.1.0
+ 1.1.1