Generate the cutoffs at every change of density in the fever, but first category is for density 0, and last category if possible have no subjects with no fever.
Examples
{
make_cutoffs(malaria_df1$fever, malaria_df1$density, add1 = TRUE)
}
#> [1] 0 1 11 31 35 43 44 50 73 84
#> [11] 90 125 126 135 166 168 176 198 199 215
#> [21] 223 229 244 276 297 356 357 635 643 648
#> [31] 654 682 686 728 733 734 735 759 772 823
#> [41] 928 1018 1188 1193 1294 1302 1307 1343 1360 1417
#> [51] 1424 1587 1590 1649 1664 1786 1802 2128 2135 2337
#> [61] 2352 2361 2525 2551 2568 2661 2846 2934 2969 2992
#> [71] 3139 3237 3240 3252 3281 3418 3446 3458 3745 3747
#> [81] 3869 3985 4089 4120 4168 4182 4347 4352 4362 4398
#> [91] 4441 4472 4508 4517 4526 4598 4928 5006 5121 5430
#> [101] 5502 5523 5688 5721 5792 5891 5986 6107 6263 6427
#> [111] 6619 6740 6935 6944 7187 7227 7423 7483 7519 7647
#> [121] 7662 7690 7951 8151 8168 8183 8254 8286 8313 8378
#> [131] 8477 8825 8852 9024 9262 9414 9566 9632 9731 9838
#> [141] 9855 10267 10305 10667 10730 10824 10990 11154 11173 11373
#> [151] 11656 12201 12207 12228 12314 12598 12862 13084 13090 13250
#> [161] 13281 13290 13453 13872 13920 13928 13940 14444 14527 14528
#> [171] 14683 15009 15115 16019 16226 17553 17572 17600 17809 17859
#> [181] 18227 18522 19008 20133 20562 20760 20828 22178 22356 24012
#> [191] 24322 24335 25708 25743 25817 25908 26111 27036 27176 27340
#> [201] 27360 28124 28623 30018 30763 34782 35160 35222 35733 36700
#> [211] 36933 38411 39108 40262 41649 42966 43152 43573 45033 46848
#> [221] 47707 50164 50192 51132 51748 56928 57410 63172 64298 67206
#> [231] 67500 67833 68500 78788 79459 79741 79914 82297 82397 95031
#> [241] 95757 269251 269349