Last updated on 2021-06-21 13:52:03 CEST.
Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
---|---|---|---|---|---|---|
r-devel-linux-x86_64-debian-clang | 2.1.0 | 5.42 | 45.15 | 50.57 | ERROR | |
r-devel-linux-x86_64-debian-gcc | 2.1.0 | 4.00 | 33.83 | 37.83 | ERROR | |
r-devel-linux-x86_64-fedora-clang | 2.1.0 | 72.55 | ERROR | |||
r-devel-linux-x86_64-fedora-gcc | 2.1.0 | 57.20 | ERROR | |||
r-devel-windows-x86_64 | 2.1.0 | 8.00 | 62.00 | 70.00 | ERROR | |
r-devel-windows-x86_64-gcc10-UCRT | 2.1.0 | ERROR | ||||
r-patched-linux-x86_64 | 2.1.0 | 5.85 | 42.44 | 48.29 | ERROR | |
r-patched-solaris-x86 | 2.1.0 | 86.50 | ERROR | |||
r-release-linux-x86_64 | 2.1.0 | 5.40 | 42.37 | 47.77 | ERROR | |
r-release-macos-arm64 | 2.1.0 | ERROR | ||||
r-release-macos-x86_64 | 2.1.0 | NOTE | ||||
r-release-windows-ix86+x86_64 | 2.1.0 | 11.00 | 61.00 | 72.00 | ERROR | |
r-oldrel-macos-x86_64 | 2.1.0 | NOTE |
Version: 2.1.0
Check: package dependencies
Result: NOTE
Packages suggested but not available for checking:
'gWidgets', 'gWidgetsRGtk2'
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64-gcc10-UCRT, r-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-x86_64, r-release-macos-x86_64, r-oldrel-macos-x86_64
Version: 2.1.0
Check: examples
Result: ERROR
Running examples in 'Blaunet-Ex.R' failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: blau
> ### Title: Converts raw data into an object for Blau status analysis
> ### Aliases: blau
>
> ### ** Examples
>
> ##simple example
> data(TwoCities)
> b <- blau(TwoCities, node.ids = 'respID', ecology.ids = 'samp')
> ##blau object will store whatever you compute
> b <- niches(b, dev.range = rep(1.5, 10)) # 10 is the number of dimensions
> ##see active elements
> print(b)
$ids
nodeId ecologyId
1 1 1
2 2 1
3 3 1
4 4 1
5 5 1
6 6 1
9 9 1
10 10 1
12 12 1
13 13 1
15 15 1
18 18 1
20 20 1
21 21 1
22 22 1
23 23 1
25 25 1
27 27 1
28 28 1
30 30 1
32 32 1
36 36 1
37 37 1
40 40 1
42 42 1
43 43 1
44 44 1
46 46 1
50 50 1
51 51 1
54 54 1
55 55 1
60 60 1
65 65 1
67 67 1
68 68 1
71 71 1
74 74 1
75 75 1
76 76 1
77 77 1
78 78 1
81 81 1
83 83 1
85 85 1
86 86 1
87 87 1
89 89 1
90 90 1
91 91 1
94 94 1
95 95 1
96 96 1
98 98 1
99 99 1
102 102 1
103 103 1
107 107 1
108 108 1
110 110 1
111 111 1
114 114 1
116 116 1
117 117 1
118 118 1
120 120 1
121 121 1
123 123 1
124 124 1
128 128 1
129 129 1
130 130 1
131 131 1
134 134 1
135 135 1
137 137 1
138 138 1
140 140 1
141 141 1
142 142 1
143 143 1
145 145 1
146 146 1
147 147 1
148 148 1
153 153 1
156 156 1
157 157 1
158 158 1
159 159 1
160 160 1
161 161 1
162 162 1
163 163 1
165 165 1
168 168 1
169 169 1
171 171 1
173 173 1
174 174 1
176 176 1
177 177 1
178 178 1
182 182 1
184 184 1
185 185 1
186 186 1
187 187 1
188 188 1
189 189 1
190 190 1
191 191 1
192 192 1
193 193 1
194 194 1
195 195 1
196 196 1
198 198 1
200 200 1
201 201 1
203 203 1
204 204 1
206 206 1
207 207 1
208 208 1
211 211 1
212 212 1
213 213 1
214 214 1
218 218 1
222 222 1
224 224 1
228 228 1
229 229 1
230 230 1
231 231 1
232 232 1
233 233 1
235 235 1
237 237 1
238 238 1
239 239 1
241 241 1
247 247 1
251 251 1
255 255 1
257 257 1
259 259 1
262 262 1
263 263 1
264 264 1
265 265 1
268 268 1
269 269 1
270 270 1
271 271 1
272 272 1
273 273 1
274 274 1
277 277 1
280 280 1
281 281 1
287 287 1
288 288 1
290 290 1
291 291 1
292 292 1
293 293 1
295 295 1
296 296 1
299 299 1
300 300 1
301 301 1
302 302 1
303 303 1
304 304 1
305 305 1
306 306 1
310 310 1
311 311 1
314 314 1
315 315 1
316 316 1
318 318 1
320 320 1
322 322 1
323 323 1
326 326 1
328 328 1
329 329 1
330 330 1
332 332 1
335 335 1
337 337 1
340 340 1
341 341 1
343 343 1
347 347 1
349 349 1
350 350 1
353 353 1
354 354 1
356 356 1
357 357 1
358 358 1
361 361 1
362 362 1
365 365 1
366 366 1
367 367 1
368 368 1
369 369 1
371 371 1
372 372 1
373 373 1
375 375 1
376 376 1
377 377 1
378 378 1
379 379 1
380 380 1
382 382 1
383 383 1
385 385 1
387 387 1
388 388 1
389 389 1
391 391 1
394 394 1
395 395 1
400 400 1
402 402 1
403 403 1
405 405 1
406 406 1
409 409 1
410 410 1
413 413 1
416 416 1
417 417 1
418 418 1
419 419 1
421 421 1
422 422 1
423 423 1
425 425 1
426 426 1
431 431 1
433 433 1
440 440 1
441 441 1
442 442 1
444 444 1
445 445 1
447 447 1
450 450 1
452 452 1
453 453 1
456 456 1
457 457 1
458 458 1
462 462 1
463 463 1
464 464 1
465 465 1
466 466 1
467 467 1
471 471 1
473 473 1
474 474 1
477 477 1
478 478 1
481 481 1
483 483 1
484 484 1
489 489 1
490 490 1
491 491 1
492 492 1
496 496 1
497 497 1
498 498 1
501 501 1
503 503 2
506 506 2
507 507 2
510 510 2
511 511 2
512 512 2
513 513 2
514 514 2
517 517 2
518 518 2
519 519 2
520 520 2
521 521 2
524 524 2
525 525 2
526 526 2
527 527 2
528 528 2
529 529 2
530 530 2
531 531 2
532 532 2
533 533 2
534 534 2
537 537 2
539 539 2
541 541 2
542 542 2
544 544 2
545 545 2
547 547 2
549 549 2
550 550 2
551 551 2
552 552 2
554 554 2
555 555 2
556 556 2
558 558 2
561 561 2
562 562 2
564 564 2
565 565 2
567 567 2
568 568 2
569 569 2
570 570 2
571 571 2
576 576 2
577 577 2
578 578 2
579 579 2
581 581 2
583 583 2
584 584 2
586 586 2
588 588 2
590 590 2
592 592 2
593 593 2
596 596 2
598 598 2
599 599 2
601 601 2
603 603 2
604 604 2
609 609 2
610 610 2
616 616 2
618 618 2
620 620 2
621 621 2
623 623 2
624 624 2
625 625 2
626 626 2
627 627 2
628 628 2
630 630 2
631 631 2
632 632 2
633 633 2
634 634 2
635 635 2
636 636 2
637 637 2
638 638 2
640 640 2
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643 643 2
644 644 2
645 645 2
649 649 2
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652 652 2
653 653 2
656 656 2
658 658 2
659 659 2
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663 663 2
664 664 2
667 667 2
669 669 2
670 670 2
674 674 2
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684 684 2
686 686 2
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688 688 2
692 692 2
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713 713 2
714 714 2
717 717 2
719 719 2
721 721 2
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726 726 2
727 727 2
729 729 2
730 730 2
731 731 2
732 732 2
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738 738 2
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743 743 2
745 745 2
746 746 2
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750 750 2
753 753 2
754 754 2
755 755 2
756 756 2
757 757 2
761 761 2
762 762 2
763 763 2
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772 772 2
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775 775 2
778 778 2
780 780 2
781 781 2
782 782 2
784 784 2
785 785 2
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791 791 2
794 794 2
799 799 2
800 800 2
803 803 2
805 805 2
806 806 2
811 811 2
815 815 2
817 817 2
819 819 2
820 820 2
821 821 2
822 822 2
823 823 2
824 824 2
825 825 2
826 826 2
827 827 2
828 828 2
829 829 2
831 831 2
833 833 2
835 835 2
837 837 2
839 839 2
840 840 2
841 841 2
843 843 2
845 845 2
847 847 2
848 848 2
850 850 2
854 854 2
856 856 2
857 857 2
858 858 2
859 859 2
860 860 2
861 861 2
862 862 2
864 864 2
865 865 2
866 866 2
869 869 2
870 870 2
872 872 2
873 873 2
875 875 2
876 876 2
877 877 2
878 878 2
879 879 2
880 880 2
881 881 2
886 886 2
887 887 2
888 888 2
891 891 2
892 892 2
893 893 2
894 894 2
895 895 2
896 896 2
897 897 2
901 901 2
904 904 2
907 907 2
908 908 2
910 910 2
911 911 2
913 913 2
915 915 2
916 916 2
917 917 2
918 918 2
919 919 2
921 921 2
922 922 2
924 924 2
925 925 2
927 927 2
929 929 2
931 931 2
932 932 2
934 934 2
935 935 2
937 937 2
939 939 2
940 940 2
942 942 2
943 943 2
944 944 2
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948 948 2
949 949 2
951 951 2
952 952 2
953 953 2
956 956 2
958 958 2
959 959 2
960 960 2
961 961 2
962 962 2
963 963 2
964 964 2
965 965 2
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967 967 2
968 968 2
969 969 2
970 970 2
971 971 2
973 973 2
975 975 2
976 976 2
977 977 2
981 981 2
983 983 2
985 985 2
986 986 2
990 990 2
991 991 2
992 992 2
993 993 2
995 995 2
1000 1000 2
1001 1001 2
1002 1002 2
1007 1007 2
$weights
[,1]
1 1
2 1
3 1
4 1
5 1
6 1
9 1
10 1
12 1
13 1
15 1
18 1
20 1
21 1
22 1
23 1
25 1
27 1
28 1
30 1
32 1
36 1
37 1
40 1
42 1
43 1
44 1
46 1
50 1
51 1
54 1
55 1
60 1
65 1
67 1
68 1
71 1
74 1
75 1
76 1
77 1
78 1
81 1
83 1
85 1
86 1
87 1
89 1
90 1
91 1
94 1
95 1
96 1
98 1
99 1
102 1
103 1
107 1
108 1
110 1
111 1
114 1
116 1
117 1
118 1
120 1
121 1
123 1
124 1
128 1
129 1
130 1
131 1
134 1
135 1
137 1
138 1
140 1
141 1
142 1
143 1
145 1
146 1
147 1
148 1
153 1
156 1
157 1
158 1
159 1
160 1
161 1
162 1
163 1
165 1
168 1
169 1
171 1
173 1
174 1
176 1
177 1
178 1
182 1
184 1
185 1
186 1
187 1
188 1
189 1
190 1
191 1
192 1
193 1
194 1
195 1
196 1
198 1
200 1
201 1
203 1
204 1
206 1
207 1
208 1
211 1
212 1
213 1
214 1
218 1
222 1
224 1
228 1
229 1
230 1
231 1
232 1
233 1
235 1
237 1
238 1
239 1
241 1
247 1
251 1
255 1
257 1
259 1
262 1
263 1
264 1
265 1
268 1
269 1
270 1
271 1
272 1
273 1
274 1
277 1
280 1
281 1
287 1
288 1
290 1
291 1
292 1
293 1
295 1
296 1
299 1
300 1
301 1
302 1
303 1
304 1
305 1
306 1
310 1
311 1
314 1
315 1
316 1
318 1
320 1
322 1
323 1
326 1
328 1
329 1
330 1
332 1
335 1
337 1
340 1
341 1
343 1
347 1
349 1
350 1
353 1
354 1
356 1
357 1
358 1
361 1
362 1
365 1
366 1
367 1
368 1
369 1
371 1
372 1
373 1
375 1
376 1
377 1
378 1
379 1
380 1
382 1
383 1
385 1
387 1
388 1
389 1
391 1
394 1
395 1
400 1
402 1
403 1
405 1
406 1
409 1
410 1
413 1
416 1
417 1
418 1
419 1
421 1
422 1
423 1
425 1
426 1
431 1
433 1
440 1
441 1
442 1
444 1
445 1
447 1
450 1
452 1
453 1
456 1
457 1
458 1
462 1
463 1
464 1
465 1
466 1
467 1
471 1
473 1
474 1
477 1
478 1
481 1
483 1
484 1
489 1
490 1
491 1
492 1
496 1
497 1
498 1
501 1
503 1
506 1
507 1
510 1
511 1
512 1
513 1
514 1
517 1
518 1
519 1
520 1
521 1
524 1
525 1
526 1
527 1
528 1
529 1
530 1
531 1
532 1
533 1
534 1
537 1
539 1
541 1
542 1
544 1
545 1
547 1
549 1
550 1
551 1
552 1
554 1
555 1
556 1
558 1
561 1
562 1
564 1
565 1
567 1
568 1
569 1
570 1
571 1
576 1
577 1
578 1
579 1
581 1
583 1
584 1
586 1
588 1
590 1
592 1
593 1
596 1
598 1
599 1
601 1
603 1
604 1
609 1
610 1
616 1
618 1
620 1
621 1
623 1
624 1
625 1
626 1
627 1
628 1
630 1
631 1
632 1
633 1
634 1
635 1
636 1
637 1
638 1
640 1
641 1
642 1
643 1
644 1
645 1
649 1
650 1
652 1
653 1
656 1
658 1
659 1
660 1
661 1
662 1
663 1
664 1
667 1
669 1
670 1
674 1
675 1
677 1
680 1
684 1
686 1
687 1
688 1
692 1
693 1
694 1
695 1
696 1
697 1
701 1
702 1
703 1
705 1
706 1
708 1
709 1
710 1
711 1
712 1
713 1
714 1
717 1
719 1
721 1
723 1
726 1
727 1
729 1
730 1
731 1
732 1
733 1
734 1
735 1
738 1
739 1
740 1
742 1
743 1
745 1
746 1
747 1
749 1
750 1
753 1
754 1
755 1
756 1
757 1
761 1
762 1
763 1
767 1
772 1
773 1
774 1
775 1
778 1
780 1
781 1
782 1
784 1
785 1
786 1
787 1
788 1
791 1
794 1
799 1
800 1
803 1
805 1
806 1
811 1
815 1
817 1
819 1
820 1
821 1
822 1
823 1
824 1
825 1
826 1
827 1
828 1
829 1
831 1
833 1
835 1
837 1
839 1
840 1
841 1
843 1
845 1
847 1
848 1
850 1
854 1
856 1
857 1
858 1
859 1
860 1
861 1
862 1
864 1
865 1
866 1
869 1
870 1
872 1
873 1
875 1
876 1
877 1
878 1
879 1
880 1
881 1
886 1
887 1
888 1
891 1
892 1
893 1
894 1
895 1
896 1
897 1
901 1
904 1
907 1
908 1
910 1
911 1
913 1
915 1
916 1
917 1
918 1
919 1
921 1
922 1
924 1
925 1
927 1
929 1
931 1
932 1
934 1
935 1
937 1
939 1
940 1
942 1
943 1
944 1
946 1
948 1
949 1
951 1
952 1
953 1
956 1
958 1
959 1
960 1
961 1
962 1
963 1
964 1
965 1
966 1
967 1
968 1
969 1
970 1
971 1
973 1
975 1
976 1
977 1
981 1
983 1
985 1
986 1
990 1
991 1
992 1
993 1
995 1
1000 1
1001 1
1002 1
1007 1
$dimensions
age income educ wrktime gender race ideo trust friends divrsity
1 9 3 6 24 1 1 3 3 4 8
2 14 4 6 43 2 5 2 2 2 8
3 1 2 4 14 2 5 2 2 1 4
4 20 2 4 4 2 5 1 2 1 5
5 16 4 2 29 2 5 1 3 3 8
6 32 4 3 33 2 5 1 2 1 3
9 39 7 4 33 2 5 5 2 4 5
10 31 8 6 40 1 5 2 2 2 5
12 5 7 2 20 1 5 2 2 3 7
13 11 4 7 24 1 5 2 3 4 11
15 8 3 6 24 2 5 3 3 1 9
18 26 7 6 24 2 5 1 3 1 5
20 28 6 6 24 2 1 4 3 4 6
21 21 1 6 4 1 5 1 2 3 9
22 9 3 3 24 1 5 3 3 4 10
23 34 1 2 46 2 5 1 2 2 6
25 15 3 7 48 1 5 4 2 2 10
27 49 7 1 15 1 5 1 2 4 5
28 16 7 6 29 1 5 1 3 4 10
30 23 8 2 40 2 5 5 1 3 9
32 43 2 4 24 1 5 2 1 2 5
36 19 4 2 37 2 5 5 3 2 3
37 27 3 6 24 2 1 4 2 1 6
40 20 3 4 49 1 5 1 2 3 11
42 39 1 2 32 1 5 1 3 3 8
43 27 4 6 33 1 5 2 2 2 7
44 21 3 3 33 1 5 2 2 3 8
46 34 4 1 33 2 5 3 2 3 7
50 32 4 3 33 1 5 1 2 3 10
51 8 3 2 34 1 5 1 2 3 5
54 18 5 3 24 1 5 3 3 3 8
55 37 3 3 24 2 5 3 2 4 11
60 31 7 4 24 2 5 1 2 3 10
65 15 7 1 29 1 4 3 3 4 7
67 16 5 3 24 1 5 1 2 2 2
68 54 3 4 24 1 5 2 2 4 4
71 11 4 1 13 1 5 5 2 4 6
74 12 3 4 29 2 5 3 3 2 4
75 6 2 3 17 2 5 1 2 2 3
76 13 5 2 33 1 5 1 3 3 9
77 4 1 6 24 1 5 1 2 4 8
78 24 1 2 46 2 5 1 2 2 11
81 26 3 2 40 1 5 1 2 2 8
83 17 8 3 33 2 5 2 3 3 6
85 9 3 4 29 2 5 1 3 4 9
86 8 2 2 39 2 5 2 2 3 8
87 19 7 2 33 2 5 1 2 2 5
89 14 3 3 33 1 5 1 2 2 4
90 6 3 1 29 2 5 2 3 3 6
91 15 3 2 43 2 5 3 2 3 10
94 21 4 4 33 1 5 1 3 3 10
95 31 5 2 24 1 5 3 2 4 4
96 12 3 6 13 1 5 1 2 2 5
98 22 4 4 32 1 4 2 2 2 8
99 4 3 4 17 1 5 2 2 2 6
102 4 3 4 33 2 5 3 2 2 1
103 9 2 2 24 1 1 3 2 2 6
107 12 8 4 48 1 5 1 2 2 7
108 11 4 3 17 1 5 5 2 3 11
110 37 4 3 46 1 2 2 2 3 8
111 15 3 6 25 1 5 2 3 3 4
114 5 1 2 41 2 5 4 1 1 8
116 27 4 7 40 2 5 2 2 2 7
117 26 3 4 33 2 5 5 2 1 3
118 22 3 4 19 1 5 1 2 1 7
120 32 8 3 33 1 1 4 2 1 4
121 27 3 6 24 2 1 1 3 4 11
123 2 2 5 17 2 5 4 3 1 7
124 30 1 3 40 2 5 1 2 2 10
128 31 4 2 43 1 5 5 1 1 11
129 9 2 2 24 1 3 3 3 2 3
130 13 3 1 24 2 5 1 2 2 4
131 25 4 6 40 1 5 3 2 3 10
134 34 7 2 24 2 5 4 2 3 9
135 25 3 5 40 2 5 3 2 3 5
137 39 4 3 33 1 2 3 3 4 11
138 4 2 6 19 1 1 3 3 2 4
140 45 3 6 22 1 5 2 2 2 3
141 7 5 6 14 1 5 1 2 4 8
142 33 7 2 36 1 5 2 3 2 8
143 43 3 3 40 1 5 3 2 3 8
145 11 2 6 24 2 5 5 2 2 3
146 35 1 3 29 2 5 3 2 3 7
147 28 1 6 24 1 5 2 2 2 8
148 7 4 6 29 1 5 1 1 2 8
153 31 1 5 24 2 5 2 3 4 10
156 33 3 4 24 1 1 2 3 1 7
157 14 2 4 24 2 1 1 2 1 4
158 6 4 2 33 1 5 1 2 2 9
159 27 7 1 14 1 5 3 3 2 7
160 19 4 6 29 2 5 3 2 1 7
161 26 7 6 29 1 1 3 3 1 9
162 2 2 4 17 1 1 2 3 3 7
163 29 4 6 24 1 5 3 2 2 8
165 10 1 3 29 1 4 1 3 1 11
168 15 4 6 6 1 5 5 3 3 7
169 1 4 4 40 2 5 2 3 4 6
171 32 1 7 37 1 5 2 2 2 10
173 33 7 2 24 1 5 2 2 2 5
174 5 3 4 24 2 5 3 3 1 3
176 36 1 3 40 2 5 3 2 3 10
177 14 5 2 33 2 5 2 2 3 7
178 11 5 4 29 2 1 2 1 2 8
182 61 2 6 9 2 5 5 2 3 6
184 15 4 1 29 2 3 3 2 2 4
185 30 4 6 6 1 5 4 2 3 9
186 4 2 6 24 1 5 2 2 2 5
187 47 5 7 40 2 5 2 2 3 9
188 1 7 5 19 1 4 4 3 3 5
189 9 7 2 33 1 5 2 2 4 11
190 15 7 2 33 1 5 5 2 2 7
191 16 3 2 21 1 5 4 2 4 7
192 27 3 2 24 2 5 3 3 2 7
193 44 4 7 8 2 5 4 2 2 4
194 10 4 4 27 1 5 1 3 2 8
195 26 3 6 9 2 5 1 2 4 9
196 10 3 6 19 1 5 2 2 2 5
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569 0 0 0 0 0
570 1 0 1 1 1
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578 1 1 1 1 1
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583 1 0 1 1 1
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586 0 0 0 0 0
588 1 1 1 1 1
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593 0 0 0 0 0
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610 0 0 0 0 0
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631 1 1 1 1 1
632 0 0 0 0 0
633 0 0 0 0 0
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696 1 1 1 1 1
697 1 1 1 1 1
701 0 0 0 0 0
702 0 0 0 0 0
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705 0 1 0 0 0
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711 0 0 0 0 0
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726 0 0 0 0 0
727 0 0 0 1 0
729 0 0 0 0 0
730 1 0 1 1 1
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732 0 0 0 0 0
733 1 0 1 1 1
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735 0 0 1 0 1
738 1 1 1 1 1
739 0 0 0 0 0
740 1 0 1 1 1
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745 0 1 1 0 1
746 1 1 1 1 1
747 0 0 0 0 0
749 0 1 0 0 0
750 1 1 1 1 1
753 0 1 0 0 0
754 1 0 1 1 1
755 0 1 0 0 0
756 0 0 0 0 0
757 0 0 0 0 0
761 0 1 0 0 0
762 0 1 0 0 0
763 0 0 0 0 0
767 0 1 1 1 0
772 0 1 0 0 0
773 0 0 0 0 0
774 0 1 0 0 0
775 0 0 0 0 0
778 1 1 1 1 1
780 0 0 0 0 0
781 1 1 1 1 1
782 0 0 0 0 0
784 0 1 0 0 0
785 0 1 0 0 0
786 1 1 1 1 1
787 0 0 0 0 0
788 0 1 0 0 0
791 0 0 0 0 0
794 0 0 0 0 0
799 0 0 1 0 1
800 0 0 0 0 0
803 0 0 0 0 0
805 1 1 1 1 1
806 0 0 0 0 0
811 0 1 0 0 0
815 0 0 0 0 0
817 0 0 0 0 0
819 1 0 1 1 1
820 1 1 0 1 1
821 0 1 0 0 0
822 1 1 1 1 1
823 1 1 1 1 1
824 0 0 1 0 1
825 0 1 1 1 1
826 0 1 0 0 0
827 0 0 0 0 0
828 0 0 0 0 0
829 0 0 0 0 0
831 1 1 1 1 1
833 1 0 1 1 1
835 0 0 0 0 0
837 0 0 0 0 0
839 0 0 0 0 0
840 0 0 0 0 0
841 1 1 1 1 1
843 0 0 0 0 0
845 0 1 1 1 1
847 0 1 0 0 0
848 0 0 0 0 0
850 1 1 1 1 1
854 0 1 0 0 0
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858 1 0 1 1 1
859 0 0 0 0 0
860 1 1 1 1 1
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866 0 0 0 0 0
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891 0 1 1 1 1
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897 1 0 1 1 1
901 1 0 1 1 1
904 0 0 0 0 0
907 0 0 0 0 0
908 1 1 1 1 1
910 1 0 1 1 1
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913 0 1 0 0 0
915 1 1 1 1 1
916 1 1 1 1 1
917 0 1 0 0 0
918 1 0 1 1 1
919 0 0 0 0 0
921 0 0 0 0 0
922 0 0 0 0 0
924 0 1 0 0 0
925 0 0 1 1 0
927 1 1 1 1 1
929 0 0 0 0 0
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935 0 0 0 0 0
937 1 1 1 1 1
939 1 1 1 1 1
940 0 0 0 0 0
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943 0 0 0 0 0
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946 0 0 0 0 0
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951 1 1 1 1 1
952 0 0 0 0 0
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981 0 0 0 0 0
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990 0 0 0 1 0
991 1 1 1 1 1
992 0 1 0 0 0
993 0 0 0 0 0
995 1 1 1 1 1
1000 0 1 0 0 0
1001 0 0 0 0 0
1002 0 1 0 0 0
1007 0 0 0 0 0
grpself_niche grpwww_niche grpothr_niche ecologyNames
1 0 0 0 1
2 1 0 0 1
3 0 0 0 1
4 0 0 0 1
5 1 1 1 1
6 0 0 0 1
9 0 0 0 1
10 0 0 0 1
12 1 0 1 1
13 0 0 0 1
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20 0 0 0 1
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1007 0 1 0 2
$topbounds
age income educ wrktime gender race ideo
grprel 57.63700 7.292711 6.597145 44.23796 2.205719 6.525745 4.748067
grpsport 41.69417 6.933435 6.212098 41.77391 2.281776 6.321987 4.501494
grpyouth 43.91995 6.991668 6.709339 43.58320 2.218587 6.544432 4.591289
grppta 45.81688 7.037036 6.891717 40.89929 1.981539 6.542981 4.896454
grpvet 63.16877 7.290407 6.772602 46.24987 2.384852 6.483726 4.672876
grpnei 53.28531 6.899933 6.518281 44.24925 2.169908 6.485058 4.411259
grpeld 67.51879 7.726152 6.552972 46.79608 2.181648 6.515082 4.450512
grpsoc 52.70791 6.987633 6.658536 44.53469 2.110269 6.464330 4.694458
grplab 49.31502 7.118345 6.850588 38.66352 2.281934 6.543672 4.300277
grpprof 46.15970 6.900892 6.374155 43.78786 2.283054 6.304763 4.357814
grpfrat 57.60529 6.797144 6.506760 44.30219 2.283680 6.531071 4.527985
grpeth 56.99186 6.375489 7.189359 42.16561 2.258671 6.344650 4.669013
grppol 47.95639 6.557667 6.751073 44.38301 2.145952 6.581968 4.958621
grpart 51.93496 6.903785 6.387398 43.63366 2.008232 6.550575 4.821315
grphob 55.14485 6.983035 6.544041 43.56729 2.178433 6.462738 4.655048
grpself 55.63894 7.090196 6.631215 45.99835 2.148205 6.508868 4.648844
grpwww 41.00000 7.411086 6.027956 41.25795 2.198900 6.389367 4.182086
grpothr 58.26110 7.713409 6.193094 42.72151 2.261650 6.541992 4.525226
grprel1 63.66454 7.039544 6.712428 48.23131 2.065358 5.000000 4.672771
grpsport1 47.83695 6.612663 6.571678 45.27319 2.256674 5.519623 4.182682
grpyouth1 44.37727 6.149205 6.595429 45.96633 2.160321 5.640563 4.376191
grppta1 41.04681 6.590548 6.008319 46.76321 2.002542 5.597291 4.158362
grpvet1 63.94886 7.086501 6.130329 47.04176 2.263039 5.170667 4.218133
grpnei1 57.27570 6.717030 6.537877 48.17656 1.998533 5.000000 4.236607
grpeld1 67.42223 7.509129 6.231018 49.60535 2.076526 5.000000 4.644359
grpsoc1 55.56739 6.607995 6.542612 44.22412 2.032515 5.000000 4.516701
grplab1 49.01904 6.336825 6.762324 52.03412 2.348296 5.000000 4.246543
grpprof1 48.24423 6.803128 6.032721 48.27720 2.255791 5.116173 4.199547
grpfrat1 59.33319 6.946465 6.647776 44.62603 2.171108 5.137472 3.949901
grpeth1 70.68188 7.147552 7.596874 57.17449 2.346125 6.166667 5.454654
grppol1 52.82349 6.645751 6.547115 47.61113 2.342307 5.000000 4.618928
grpart1 54.94195 6.258866 6.689620 47.73520 2.024426 5.498062 4.560480
grphob1 52.29614 6.950747 6.814306 46.94762 2.217275 5.000000 4.429771
grpself1 59.56779 6.776592 6.196829 48.82591 1.961576 5.625260 4.292123
grpwww1 43.97498 6.960118 6.500000 50.31933 2.301784 6.272269 5.035463
grpothr1 58.82377 7.204961 6.798755 47.69840 2.176355 5.000000 4.249963
trust friends divrsity ecologyNames
grprel 3.196577 4.335981 10.810814 1
grpsport 3.171157 4.172858 10.675264 1
grpyouth 3.123232 4.132011 10.851591 1
grppta 3.250511 4.115773 10.990080 1
grpvet 3.227941 4.640067 10.838669 1
grpnei 3.162141 4.170374 10.966094 1
grpeld 3.023750 4.245086 10.930690 1
grpsoc 3.198786 4.246192 11.266485 1
grplab 3.151650 4.264951 10.590492 1
grpprof 3.047294 4.134877 10.969314 1
grpfrat 3.108349 4.322208 11.330019 1
grpeth 3.200829 4.118426 12.147447 1
grppol 3.008747 4.298942 11.751343 1
grpart 3.099796 4.254403 11.200715 1
grphob 3.074289 4.391945 11.013863 1
grpself 3.167737 4.458647 10.894518 1
grpwww 3.082687 4.095953 12.106319 1
grpothr 3.120667 4.072658 10.741576 1
grprel1 2.831361 4.141422 9.122880 2
grpsport1 2.854154 4.150118 9.430426 2
grpyouth1 2.931921 4.094737 9.514969 2
grppta1 2.822570 3.778901 10.191458 2
grpvet1 2.876582 4.193521 9.343790 2
grpnei1 2.883356 3.957313 9.553782 2
grpeld1 2.894322 4.277919 9.525305 2
grpsoc1 2.816730 4.122487 9.826079 2
grplab1 3.180405 4.088513 9.616179 2
grpprof1 2.813740 4.047563 9.544142 2
grpfrat1 2.862112 4.117573 9.291652 2
grpeth1 3.222222 4.861582 9.918962 2
grppol1 2.917005 4.054325 9.828123 2
grpart1 2.693946 4.150676 10.132994 2
grphob1 2.815443 4.320872 9.628011 2
grpself1 2.960255 4.168162 9.939788 2
grpwww1 3.633893 3.579608 9.721825 2
grpothr1 2.924161 4.141871 9.307749 2
$lowbounds
age income educ wrktime gender race
grprel 1.3084499 1.1263365 1.1325845 9.793787 0.7049953 1.8742548
grpsport 0.5501058 1.3246297 0.6969932 14.020480 0.7788298 2.9392738
grpyouth 1.0120857 1.1083323 1.1368149 13.841803 0.7147460 2.0398377
grppta 6.2545515 1.1124970 1.1618545 13.946866 0.6077464 1.8039577
grpvet 11.6573138 0.8914112 1.7056589 11.673203 0.9629737 2.1662744
grpnei 4.8061948 1.0315735 0.9913961 13.975049 0.6817052 2.3036745
grpeld 10.5115172 1.1046177 1.2349068 8.615680 0.6840240 1.9767211
grpsoc 3.3858431 0.7815977 1.1331306 13.651352 0.6501478 2.4385268
grplab 5.3278418 1.2089277 1.5704648 16.794809 0.7706977 2.1519802
grpprof 3.0920987 1.2324409 0.6754907 17.573488 0.7807759 2.9875448
grpfrat 3.1300058 0.7849451 1.0814753 12.156143 0.7751438 2.1246670
grpeth 5.0990449 0.6001208 1.4470048 12.771889 0.7413292 0.5742689
grppol 9.7221846 1.0272389 0.6774983 11.873402 0.6610656 2.1380318
grpart 0.0000000 0.8962145 0.9524077 12.018510 0.6131274 1.8314470
grphob 3.2980071 1.0169653 1.0871643 11.898056 0.6868152 2.4663957
grpself 3.7796694 1.1266717 1.1129706 13.661221 0.6657490 1.5733242
grpwww 11.0000000 0.8746285 0.6863299 19.651137 0.6582425 2.2773001
grpothr 4.6978007 1.2580197 0.8735731 11.701570 0.7516832 2.2294364
grprel1 6.9441594 1.2699800 0.9045929 10.768694 0.6293785 5.0000000
grpsport1 1.9599234 1.4540037 0.7821681 14.352975 0.7509596 4.3710024
grpyouth1 4.6138810 1.5677763 0.7028171 13.594111 0.6744612 4.2355427
grppta1 12.1159830 1.2069203 0.5434055 12.636786 0.6110940 4.3107555
grpvet1 18.5586028 1.3973701 1.4816109 14.109754 0.7518864 4.7985633
grpnei1 7.9281823 1.2204700 1.1902788 11.736479 0.6109906 5.0000000
grpeld1 16.9623884 1.3266921 0.9335386 10.448702 0.6323351 5.0000000
grpsoc1 6.9088046 1.1714172 0.8627933 11.833571 0.6208186 5.0000000
grplab1 9.6296104 2.1631750 0.9674056 15.690016 0.8622301 5.0000000
grpprof1 8.3859025 1.3825863 0.6699822 16.935401 0.7508319 4.8704038
grpfrat1 8.4726320 1.1978654 1.1236528 12.613404 0.6807441 4.8432975
grpeth1 0.0000000 1.7095905 0.4031264 0.000000 0.7649861 3.1666667
grppol1 1.2989553 1.3542487 0.5728848 14.132456 0.8576925 5.0000000
grpart1 0.0000000 1.1739696 1.0130831 11.057256 0.6155738 4.3923486
grphob1 3.7038619 1.0840354 0.9261525 12.892375 0.7150555 5.0000000
grpself1 8.6517230 1.3044891 0.9116051 9.792276 0.6031295 4.2283990
grpwww1 4.0250156 1.7065482 0.5000000 9.680674 0.6982163 2.8705884
grpothr1 7.5639857 1.1061496 1.4032649 13.530172 0.6836452 5.0000000
ideo trust friends divrsity ecologyNames
grprel 0.4445939 1.289910 1.1461614 3.403472 1
grpsport 0.2985055 1.434904 1.0847181 3.355039 1
grpyouth 0.4572550 1.338306 0.9346560 3.910314 1
grppta 0.3762737 1.362101 0.9735132 3.992063 1
grpvet 0.2160125 1.349837 1.1860204 3.509157 1
grpnei 0.4848447 1.373806 1.0038199 4.040358 1
grpeld 0.5644133 1.400492 1.0384956 4.054384 1
grpsoc 0.5371205 1.317004 1.1183918 3.889765 1
grplab 0.5418281 1.515016 1.0332941 2.532315 1
grpprof 0.5279001 1.395564 1.2410096 3.938487 1
grpfrat 0.5308390 1.369263 1.2072040 3.434687 1
grpeth 1.4262246 1.403822 0.7906648 4.216189 1
grppol 0.7913788 1.419824 1.2449174 4.283744 1
grpart 0.5573254 1.272753 1.1436549 4.430353 1
grphob 0.6543049 1.197140 1.0690482 3.482591 1
grpself 0.5077820 1.284644 1.1460045 3.896180 1
grpwww 0.3179145 1.345884 1.0469038 4.607967 1
grpothr 0.9342337 1.311766 1.0206756 3.765091 1
grprel1 0.4851235 1.423958 1.3322623 2.919225 2
grpsport1 0.4064654 1.542792 1.2037279 3.271864 2
grpyouth1 0.4308262 1.450688 1.3139591 3.215465 2
grppta1 0.4462895 1.518339 1.1301896 2.990361 2
grpvet1 0.4087325 1.541328 1.3288671 3.253225 2
grpnei1 0.4235872 1.497596 1.2045919 2.655741 2
grpeld1 0.3812820 1.464652 1.4143892 2.753176 2
grpsoc1 0.5717343 1.465149 1.3406006 3.133921 2
grplab1 0.6979014 1.556438 1.5871623 3.594348 2
grpprof1 0.5686645 1.466260 1.2504501 3.224070 2
grpfrat1 0.4426222 1.471221 1.4009458 3.060200 2
grpeth1 1.2120130 1.222222 1.5828626 3.192150 2
grppol1 0.5010722 1.522995 1.4256755 3.931877 2
grpart1 0.5206011 1.522270 1.4493245 3.680339 2
grphob1 0.2975022 1.426981 1.2700367 3.168981 2
grpself1 0.6347065 1.515936 1.2842191 3.519036 2
grpwww1 0.0000000 1.366107 0.9203921 2.778175 2
grpothr1 0.4167036 1.459677 1.3530783 2.772251 2
attr(,"class")
[1] "blau"
> ##compute global Blau statuses
> b <- nodal.global(b, dev.range = rep(1.5, 10)) # 10 is the number of dimensions
>
> ##assume we don't care about the 'ideo' column
> b <- blau(TwoCities, node.ids = 'respID', ecology.ids = 'samp', exclude='ideo')
> ##compute niches like before
> b <- niches(b, dev.range = rep(1.5, 10)) # 10 is the number of dimensions
>
> ##assume we only want income and educ parameters. Note the "c".
> b <- blau(TwoCities, node.ids = 'respID', ecology.ids = 'samp', dimensions=c('income', 'educ'))
>
> ##example with relational data
> data(BSANet)
> square.data <- BSANet$square.data
> el <- BSANet$el
>
> b <- blau(square.data, node.ids = 'person', ecology.ids = 'city', graph = el)
Error in Ops.factor(sources, targets) :
level sets of factors are different
Calls: blau ... as.network.data.frame -> .validate_edge_df -> which -> Ops.factor
Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64, r-release-linux-x86_64
Version: 2.1.0
Check: dependencies in R code
Result: NOTE
Namespaces in Imports field not imported from:
‘RGtk2’ ‘cairoDevice’ ‘ergm’ ‘foreign’ ‘haven’ ‘plot3D’ ‘plot3Drgl’
‘rgl’ ‘sna’ ‘statnet.common’
All declared Imports should be used.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64-gcc10-UCRT, r-patched-solaris-x86, r-release-macos-x86_64, r-oldrel-macos-x86_64
Version: 2.1.0
Check: examples
Result: ERROR
Running examples in ‘Blaunet-Ex.R’ failed
The error most likely occurred in:
> ### Name: blau
> ### Title: Converts raw data into an object for Blau status analysis
> ### Aliases: blau
>
> ### ** Examples
>
> ##simple example
> data(TwoCities)
> b <- blau(TwoCities, node.ids = 'respID', ecology.ids = 'samp')
> ##blau object will store whatever you compute
> b <- niches(b, dev.range = rep(1.5, 10)) # 10 is the number of dimensions
> ##see active elements
> print(b)
$ids
nodeId ecologyId
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32 32 1
36 36 1
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55 55 1
60 60 1
65 65 1
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[,1]
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$dimensions
age income educ wrktime gender race ideo trust friends divrsity
1 9 3 6 24 1 1 3 3 4 8
2 14 4 6 43 2 5 2 2 2 8
3 1 2 4 14 2 5 2 2 1 4
4 20 2 4 4 2 5 1 2 1 5
5 16 4 2 29 2 5 1 3 3 8
6 32 4 3 33 2 5 1 2 1 3
9 39 7 4 33 2 5 5 2 4 5
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13 11 4 7 24 1 5 2 3 4 11
15 8 3 6 24 2 5 3 3 1 9
18 26 7 6 24 2 5 1 3 1 5
20 28 6 6 24 2 1 4 3 4 6
21 21 1 6 4 1 5 1 2 3 9
22 9 3 3 24 1 5 3 3 4 10
23 34 1 2 46 2 5 1 2 2 6
25 15 3 7 48 1 5 4 2 2 10
27 49 7 1 15 1 5 1 2 4 5
28 16 7 6 29 1 5 1 3 4 10
30 23 8 2 40 2 5 5 1 3 9
32 43 2 4 24 1 5 2 1 2 5
36 19 4 2 37 2 5 5 3 2 3
37 27 3 6 24 2 1 4 2 1 6
40 20 3 4 49 1 5 1 2 3 11
42 39 1 2 32 1 5 1 3 3 8
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51 8 3 2 34 1 5 1 2 3 5
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55 37 3 3 24 2 5 3 2 4 11
60 31 7 4 24 2 5 1 2 3 10
65 15 7 1 29 1 4 3 3 4 7
67 16 5 3 24 1 5 1 2 2 2
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492 5 2 6 6 2 5 2 2 3 5
496 16 4 3 33 2 5 2 2 3 9
497 16 8 7 24 1 1 1 2 1 9
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501 24 3 6 33 1 5 3 3 2 10
503 30 3 6 24 1 5 1 3 3 5
506 24 5 3 54 1 5 2 2 3 10
507 12 2 4 9 1 5 4 3 1 6
510 45 7 3 24 1 5 3 2 3 4
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512 25 3 2 22 1 5 2 2 1 6
513 11 1 6 33 2 5 1 2 3 7
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517 41 4 3 24 2 5 2 2 2 7
518 24 7 7 24 1 5 1 2 3 4
519 6 3 6 24 2 5 1 3 2 3
520 21 1 6 37 2 5 1 2 4 7
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525 22 1 2 33 2 5 2 3 2 5
526 23 3 5 33 2 5 2 3 3 4
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528 7 2 2 18 1 5 3 2 2 4
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530 20 4 1 17 1 5 5 2 2 6
531 38 1 3 29 2 5 2 2 4 5
532 26 4 2 24 1 5 5 2 3 3
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534 32 4 3 46 2 5 2 2 3 11
537 31 3 3 33 2 5 2 2 2 3
539 19 5 4 24 1 5 2 2 2 7
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545 27 1 2 9 1 5 2 2 3 8
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550 35 4 4 32 1 5 5 2 3 5
551 3 1 4 37 2 5 3 2 4 4
552 43 3 6 27 2 5 1 2 3 4
554 18 7 6 48 2 5 2 2 3 8
555 30 7 1 24 1 5 5 3 2 6
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558 31 1 1 24 1 5 1 2 3 7
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565 46 4 6 37 2 5 1 2 3 9
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568 38 3 3 40 1 5 2 2 3 6
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723 28 7 2 29 2 5 3 2 2 5
726 20 1 2 43 2 5 1 3 2 5
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729 34 4 2 17 1 5 2 2 2 2
730 30 3 6 33 2 5 1 2 4 7
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618 0 0 0 2
620 1 1 1 2
621 0 0 0 2
623 0 1 1 2
624 0 1 0 2
625 0 0 0 2
626 0 1 0 2
627 0 1 0 2
628 0 0 0 2
630 0 0 0 2
631 1 0 1 2
632 0 0 0 2
633 0 0 0 2
634 0 1 1 2
635 0 0 0 2
636 0 0 0 2
637 0 0 1 2
638 0 0 0 2
640 1 1 1 2
641 0 0 0 2
642 0 0 0 2
643 0 0 0 2
644 0 0 0 2
645 0 1 0 2
649 0 1 0 2
650 0 1 0 2
652 1 1 1 2
653 0 0 0 2
656 1 1 1 2
658 0 0 0 2
659 1 1 1 2
660 0 0 0 2
661 0 0 0 2
662 0 0 0 2
663 0 1 0 2
664 0 0 0 2
667 0 0 0 2
669 0 0 0 2
670 0 1 0 2
674 0 0 0 2
675 0 0 0 2
677 0 0 0 2
680 0 0 0 2
684 0 0 0 2
686 0 0 0 2
687 0 1 0 2
688 0 0 0 2
692 0 1 0 2
693 0 1 0 2
694 0 0 0 2
695 0 0 0 2
696 0 1 1 2
697 1 0 1 2
701 0 1 0 2
702 0 1 0 2
703 1 1 1 2
705 0 1 0 2
706 0 0 0 2
708 0 0 0 2
709 0 0 0 2
710 0 0 0 2
711 0 0 0 2
712 0 0 0 2
713 1 1 1 2
714 0 1 0 2
717 1 1 0 2
719 0 0 0 2
721 0 1 1 2
723 0 0 1 2
726 0 0 0 2
727 0 0 0 2
729 0 0 0 2
730 0 0 1 2
731 0 0 0 2
732 0 0 0 2
733 0 1 1 2
734 0 0 0 2
735 0 1 0 2
738 1 1 1 2
739 0 1 0 2
740 0 1 1 2
742 0 1 0 2
743 0 0 0 2
745 0 0 0 2
746 1 1 1 2
747 0 1 0 2
749 0 0 0 2
750 0 1 1 2
753 0 0 0 2
754 0 1 1 2
755 0 0 0 2
756 0 1 0 2
757 0 0 0 2
761 0 1 0 2
762 0 1 0 2
763 0 0 0 2
767 0 0 0 2
772 0 1 0 2
773 0 0 0 2
774 0 0 1 2
775 0 0 0 2
778 0 0 1 2
780 0 0 0 2
781 0 0 1 2
782 0 1 0 2
784 0 1 0 2
785 0 0 1 2
786 0 1 1 2
787 0 0 0 2
788 0 0 1 2
791 0 0 0 2
794 0 0 0 2
799 1 0 0 2
800 0 0 0 2
803 0 0 0 2
805 1 1 1 2
806 0 0 0 2
811 0 0 0 2
815 0 0 0 2
817 0 0 0 2
819 1 1 1 2
820 1 1 0 2
821 0 0 0 2
822 1 1 1 2
823 1 1 1 2
824 1 1 0 2
825 0 0 1 2
826 0 0 0 2
827 0 0 0 2
828 0 1 0 2
829 0 1 0 2
831 1 1 1 2
833 0 1 1 2
835 0 1 0 2
837 0 1 0 2
839 0 0 0 2
840 0 0 0 2
841 1 1 1 2
843 0 1 0 2
845 1 1 1 2
847 0 0 0 2
848 0 0 0 2
850 1 0 1 2
854 0 1 0 2
856 0 1 0 2
857 0 1 0 2
858 1 1 1 2
859 0 1 0 2
860 0 1 1 2
861 0 0 0 2
862 0 0 0 2
864 0 0 0 2
865 1 1 1 2
866 0 0 0 2
869 0 0 0 2
870 1 1 1 2
872 0 1 0 2
873 0 0 0 2
875 0 1 0 2
876 0 0 0 2
877 0 0 0 2
878 1 1 0 2
879 0 0 0 2
880 0 1 0 2
881 1 1 0 2
886 0 0 0 2
887 1 1 0 2
888 0 0 0 2
891 0 1 0 2
892 0 0 0 2
893 1 1 1 2
894 0 1 0 2
895 0 0 0 2
896 0 1 0 2
897 0 1 1 2
901 0 1 1 2
904 0 0 0 2
907 0 0 0 2
908 1 1 1 2
910 1 1 1 2
911 0 1 0 2
913 0 1 0 2
915 1 1 1 2
916 1 1 1 2
917 0 0 0 2
918 1 1 1 2
919 0 1 0 2
921 0 0 0 2
922 0 0 0 2
924 0 0 0 2
925 0 0 0 2
927 1 1 1 2
929 0 0 0 2
931 0 0 0 2
932 0 0 0 2
934 0 0 0 2
935 0 0 0 2
937 1 1 1 2
939 1 1 1 2
940 0 0 0 2
942 0 1 0 2
943 0 0 0 2
944 1 1 1 2
946 0 0 0 2
948 0 1 0 2
949 1 1 0 2
951 1 1 1 2
952 0 0 0 2
953 0 0 1 2
956 1 0 1 2
958 0 1 0 2
959 1 0 1 2
960 0 0 0 2
961 0 1 1 2
962 0 1 0 2
963 1 0 1 2
964 0 0 1 2
965 1 0 1 2
966 0 0 0 2
967 0 0 0 2
968 0 0 1 2
969 0 0 0 2
970 0 0 0 2
971 0 1 0 2
973 0 0 0 2
975 0 1 0 2
976 0 1 0 2
977 1 1 1 2
981 0 0 0 2
983 0 1 0 2
985 0 0 0 2
986 0 0 1 2
990 0 0 0 2
991 1 1 1 2
992 0 0 0 2
993 0 0 0 2
995 0 1 1 2
1000 0 1 0 2
1001 0 0 0 2
1002 0 0 0 2
1007 0 1 0 2
$topbounds
age income educ wrktime gender race ideo
grprel 57.63700 7.292711 6.597145 44.23796 2.205719 6.525745 4.748067
grpsport 41.69417 6.933435 6.212098 41.77391 2.281776 6.321987 4.501494
grpyouth 43.91995 6.991668 6.709339 43.58320 2.218587 6.544432 4.591289
grppta 45.81688 7.037036 6.891717 40.89929 1.981539 6.542981 4.896454
grpvet 63.16877 7.290407 6.772602 46.24987 2.384852 6.483726 4.672876
grpnei 53.28531 6.899933 6.518281 44.24925 2.169908 6.485058 4.411259
grpeld 67.51879 7.726152 6.552972 46.79608 2.181648 6.515082 4.450512
grpsoc 52.70791 6.987633 6.658536 44.53469 2.110269 6.464330 4.694458
grplab 49.31502 7.118345 6.850588 38.66352 2.281934 6.543672 4.300277
grpprof 46.15970 6.900892 6.374155 43.78786 2.283054 6.304763 4.357814
grpfrat 57.60529 6.797144 6.506760 44.30219 2.283680 6.531071 4.527985
grpeth 56.99186 6.375489 7.189359 42.16561 2.258671 6.344650 4.669013
grppol 47.95639 6.557667 6.751073 44.38301 2.145952 6.581968 4.958621
grpart 51.93496 6.903785 6.387398 43.63366 2.008232 6.550575 4.821315
grphob 55.14485 6.983035 6.544041 43.56729 2.178433 6.462738 4.655048
grpself 55.63894 7.090196 6.631215 45.99835 2.148205 6.508868 4.648844
grpwww 41.00000 7.411086 6.027956 41.25795 2.198900 6.389367 4.182086
grpothr 58.26110 7.713409 6.193094 42.72151 2.261650 6.541992 4.525226
grprel1 63.66454 7.039544 6.712428 48.23131 2.065358 5.000000 4.672771
grpsport1 47.83695 6.612663 6.571678 45.27319 2.256674 5.519623 4.182682
grpyouth1 44.37727 6.149205 6.595429 45.96633 2.160321 5.640563 4.376191
grppta1 41.04681 6.590548 6.008319 46.76321 2.002542 5.597291 4.158362
grpvet1 63.94886 7.086501 6.130329 47.04176 2.263039 5.170667 4.218133
grpnei1 57.27570 6.717030 6.537877 48.17656 1.998533 5.000000 4.236607
grpeld1 67.42223 7.509129 6.231018 49.60535 2.076526 5.000000 4.644359
grpsoc1 55.56739 6.607995 6.542612 44.22412 2.032515 5.000000 4.516701
grplab1 49.01904 6.336825 6.762324 52.03412 2.348296 5.000000 4.246543
grpprof1 48.24423 6.803128 6.032721 48.27720 2.255791 5.116173 4.199547
grpfrat1 59.33319 6.946465 6.647776 44.62603 2.171108 5.137472 3.949901
grpeth1 70.68188 7.147552 7.596874 57.17449 2.346125 6.166667 5.454654
grppol1 52.82349 6.645751 6.547115 47.61113 2.342307 5.000000 4.618928
grpart1 54.94195 6.258866 6.689620 47.73520 2.024426 5.498062 4.560480
grphob1 52.29614 6.950747 6.814306 46.94762 2.217275 5.000000 4.429771
grpself1 59.56779 6.776592 6.196829 48.82591 1.961576 5.625260 4.292123
grpwww1 43.97498 6.960118 6.500000 50.31933 2.301784 6.272269 5.035463
grpothr1 58.82377 7.204961 6.798755 47.69840 2.176355 5.000000 4.249963
trust friends divrsity ecologyNames
grprel 3.196577 4.335981 10.810814 1
grpsport 3.171157 4.172858 10.675264 1
grpyouth 3.123232 4.132011 10.851591 1
grppta 3.250511 4.115773 10.990080 1
grpvet 3.227941 4.640067 10.838669 1
grpnei 3.162141 4.170374 10.966094 1
grpeld 3.023750 4.245086 10.930690 1
grpsoc 3.198786 4.246192 11.266485 1
grplab 3.151650 4.264951 10.590492 1
grpprof 3.047294 4.134877 10.969314 1
grpfrat 3.108349 4.322208 11.330019 1
grpeth 3.200829 4.118426 12.147447 1
grppol 3.008747 4.298942 11.751343 1
grpart 3.099796 4.254403 11.200715 1
grphob 3.074289 4.391945 11.013863 1
grpself 3.167737 4.458647 10.894518 1
grpwww 3.082687 4.095953 12.106319 1
grpothr 3.120667 4.072658 10.741576 1
grprel1 2.831361 4.141422 9.122880 2
grpsport1 2.854154 4.150118 9.430426 2
grpyouth1 2.931921 4.094737 9.514969 2
grppta1 2.822570 3.778901 10.191458 2
grpvet1 2.876582 4.193521 9.343790 2
grpnei1 2.883356 3.957313 9.553782 2
grpeld1 2.894322 4.277919 9.525305 2
grpsoc1 2.816730 4.122487 9.826079 2
grplab1 3.180405 4.088513 9.616179 2
grpprof1 2.813740 4.047563 9.544142 2
grpfrat1 2.862112 4.117573 9.291652 2
grpeth1 3.222222 4.861582 9.918962 2
grppol1 2.917005 4.054325 9.828123 2
grpart1 2.693946 4.150676 10.132994 2
grphob1 2.815443 4.320872 9.628011 2
grpself1 2.960255 4.168162 9.939788 2
grpwww1 3.633893 3.579608 9.721825 2
grpothr1 2.924161 4.141871 9.307749 2
$lowbounds
age income educ wrktime gender race
grprel 1.3084499 1.1263365 1.1325845 9.793787 0.7049953 1.8742548
grpsport 0.5501058 1.3246297 0.6969932 14.020480 0.7788298 2.9392738
grpyouth 1.0120857 1.1083323 1.1368149 13.841803 0.7147460 2.0398377
grppta 6.2545515 1.1124970 1.1618545 13.946866 0.6077464 1.8039577
grpvet 11.6573138 0.8914112 1.7056589 11.673203 0.9629737 2.1662744
grpnei 4.8061948 1.0315735 0.9913961 13.975049 0.6817052 2.3036745
grpeld 10.5115172 1.1046177 1.2349068 8.615680 0.6840240 1.9767211
grpsoc 3.3858431 0.7815977 1.1331306 13.651352 0.6501478 2.4385268
grplab 5.3278418 1.2089277 1.5704648 16.794809 0.7706977 2.1519802
grpprof 3.0920987 1.2324409 0.6754907 17.573488 0.7807759 2.9875448
grpfrat 3.1300058 0.7849451 1.0814753 12.156143 0.7751438 2.1246670
grpeth 5.0990449 0.6001208 1.4470048 12.771889 0.7413292 0.5742689
grppol 9.7221846 1.0272389 0.6774983 11.873402 0.6610656 2.1380318
grpart 0.0000000 0.8962145 0.9524077 12.018510 0.6131274 1.8314470
grphob 3.2980071 1.0169653 1.0871643 11.898056 0.6868152 2.4663957
grpself 3.7796694 1.1266717 1.1129706 13.661221 0.6657490 1.5733242
grpwww 11.0000000 0.8746285 0.6863299 19.651137 0.6582425 2.2773001
grpothr 4.6978007 1.2580197 0.8735731 11.701570 0.7516832 2.2294364
grprel1 6.9441594 1.2699800 0.9045929 10.768694 0.6293785 5.0000000
grpsport1 1.9599234 1.4540037 0.7821681 14.352975 0.7509596 4.3710024
grpyouth1 4.6138810 1.5677763 0.7028171 13.594111 0.6744612 4.2355427
grppta1 12.1159830 1.2069203 0.5434055 12.636786 0.6110940 4.3107555
grpvet1 18.5586028 1.3973701 1.4816109 14.109754 0.7518864 4.7985633
grpnei1 7.9281823 1.2204700 1.1902788 11.736479 0.6109906 5.0000000
grpeld1 16.9623884 1.3266921 0.9335386 10.448702 0.6323351 5.0000000
grpsoc1 6.9088046 1.1714172 0.8627933 11.833571 0.6208186 5.0000000
grplab1 9.6296104 2.1631750 0.9674056 15.690016 0.8622301 5.0000000
grpprof1 8.3859025 1.3825863 0.6699822 16.935401 0.7508319 4.8704038
grpfrat1 8.4726320 1.1978654 1.1236528 12.613404 0.6807441 4.8432975
grpeth1 0.0000000 1.7095905 0.4031264 0.000000 0.7649861 3.1666667
grppol1 1.2989553 1.3542487 0.5728848 14.132456 0.8576925 5.0000000
grpart1 0.0000000 1.1739696 1.0130831 11.057256 0.6155738 4.3923486
grphob1 3.7038619 1.0840354 0.9261525 12.892375 0.7150555 5.0000000
grpself1 8.6517230 1.3044891 0.9116051 9.792276 0.6031295 4.2283990
grpwww1 4.0250156 1.7065482 0.5000000 9.680674 0.6982163 2.8705884
grpothr1 7.5639857 1.1061496 1.4032649 13.530172 0.6836452 5.0000000
ideo trust friends divrsity ecologyNames
grprel 0.4445939 1.289910 1.1461614 3.403472 1
grpsport 0.2985055 1.434904 1.0847181 3.355039 1
grpyouth 0.4572550 1.338306 0.9346560 3.910314 1
grppta 0.3762737 1.362101 0.9735132 3.992063 1
grpvet 0.2160125 1.349837 1.1860204 3.509157 1
grpnei 0.4848447 1.373806 1.0038199 4.040358 1
grpeld 0.5644133 1.400492 1.0384956 4.054384 1
grpsoc 0.5371205 1.317004 1.1183918 3.889765 1
grplab 0.5418281 1.515016 1.0332941 2.532315 1
grpprof 0.5279001 1.395564 1.2410096 3.938487 1
grpfrat 0.5308390 1.369263 1.2072040 3.434687 1
grpeth 1.4262246 1.403822 0.7906648 4.216189 1
grppol 0.7913788 1.419824 1.2449174 4.283744 1
grpart 0.5573254 1.272753 1.1436549 4.430353 1
grphob 0.6543049 1.197140 1.0690482 3.482591 1
grpself 0.5077820 1.284644 1.1460045 3.896180 1
grpwww 0.3179145 1.345884 1.0469038 4.607967 1
grpothr 0.9342337 1.311766 1.0206756 3.765091 1
grprel1 0.4851235 1.423958 1.3322623 2.919225 2
grpsport1 0.4064654 1.542792 1.2037279 3.271864 2
grpyouth1 0.4308262 1.450688 1.3139591 3.215465 2
grppta1 0.4462895 1.518339 1.1301896 2.990361 2
grpvet1 0.4087325 1.541328 1.3288671 3.253225 2
grpnei1 0.4235872 1.497596 1.2045919 2.655741 2
grpeld1 0.3812820 1.464652 1.4143892 2.753176 2
grpsoc1 0.5717343 1.465149 1.3406006 3.133921 2
grplab1 0.6979014 1.556438 1.5871623 3.594348 2
grpprof1 0.5686645 1.466260 1.2504501 3.224070 2
grpfrat1 0.4426222 1.471221 1.4009458 3.060200 2
grpeth1 1.2120130 1.222222 1.5828626 3.192150 2
grppol1 0.5010722 1.522995 1.4256755 3.931877 2
grpart1 0.5206011 1.522270 1.4493245 3.680339 2
grphob1 0.2975022 1.426981 1.2700367 3.168981 2
grpself1 0.6347065 1.515936 1.2842191 3.519036 2
grpwww1 0.0000000 1.366107 0.9203921 2.778175 2
grpothr1 0.4167036 1.459677 1.3530783 2.772251 2
attr(,"class")
[1] "blau"
> ##compute global Blau statuses
> b <- nodal.global(b, dev.range = rep(1.5, 10)) # 10 is the number of dimensions
>
> ##assume we don't care about the 'ideo' column
> b <- blau(TwoCities, node.ids = 'respID', ecology.ids = 'samp', exclude='ideo')
> ##compute niches like before
> b <- niches(b, dev.range = rep(1.5, 10)) # 10 is the number of dimensions
>
> ##assume we only want income and educ parameters. Note the "c".
> b <- blau(TwoCities, node.ids = 'respID', ecology.ids = 'samp', dimensions=c('income', 'educ'))
>
> ##example with relational data
> data(BSANet)
> square.data <- BSANet$square.data
> el <- BSANet$el
>
> b <- blau(square.data, node.ids = 'person', ecology.ids = 'city', graph = el)
Error in Ops.factor(sources, targets) :
level sets of factors are different
Calls: blau ... as.network.data.frame -> .validate_edge_df -> which -> Ops.factor
Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-devel-windows-x86_64-gcc10-UCRT, r-patched-solaris-x86, r-release-windows-ix86+x86_64
Version: 2.1.0
Check: package dependencies
Result: ERROR
Packages required but not available: 'RGtk2', 'cairoDevice'
Packages suggested but not available for checking:
'gWidgets', 'gWidgetsRGtk2'
See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
Flavor: r-release-macos-arm64