tests/testthat/_snaps/utilities.md

rtw works for twlss model

Code
  with_seed(123, rtw(fit[, 1], theta_2_power(fit[, 2], a = tw_pars[1], b = tw_pars[
    2]), exp(fit[, 3])))
Output
    [1]  0.8433046  3.9921925  2.6083358 20.5549612  8.5793424  1.8938331
    [7]  2.7435619  9.5096970  5.2116379  1.6450972  3.4691861  4.3351943
   [13]  2.2518669 12.6203740  9.0396653  3.0701002  0.5655998  1.0982734
   [19]  1.7452684  8.1155985 11.9670080  6.7981728  3.0981901  2.0810425
   [25] 16.8288692  2.1402394  1.5888029  2.9971033  8.1002026  4.8038754
   [31]  8.0696493  1.1092824  1.4483049  3.7820717 33.1709416  9.2347577
   [37]  8.4230800  6.2615769 16.6616792 10.5510488  3.8965734  1.2409925
   [43]  7.0496293  3.1362138  1.6254573  7.2404866  5.6855653  1.7068957
   [49]  2.9693659  5.0931745  7.7811423  6.9205510  3.9021701  1.8846522
   [55]  5.5421980  2.9063717  4.2873492  2.7631665  5.3008815  5.3647982
   [61]  2.8520935  7.6295820 14.3153486  8.4753338  2.4274605  5.0806150
   [67]  0.2098342 11.0390919  7.2304537 14.6442248  3.0722660  1.7172771
   [73]  1.4144913  0.9295747  4.5728042  7.4383034  8.6709399 10.0476905
   [79]  4.8575448  9.8409720  2.6494647 22.5205003  6.1156535  5.9003096
   [85]  1.3482640  0.8072901  6.9202913  3.9619729  3.4438601  4.3508559
   [91]  5.6893667  2.4351664  3.1182818  2.2032485  2.9244076  7.2522873
   [97]  4.2791984  5.6499921  3.2445698 18.0582619  4.1759002  5.6227536
  [103]  3.5177425  5.1828733  5.6757217 13.2276161  4.9332777  3.3840449
  [109]  3.0430459  4.5226342  7.3409892  2.5153389  5.2868284  4.1503566
  [115]  3.8518638 13.7949161  4.8630264  6.2094898  1.8346751  4.4084244
  [121]  7.2069327  2.3972901  3.1720700  1.8104194  9.3316714  4.0352400
  [127] 13.8642594  7.8565040  2.1925595  4.9820994  4.7544818  4.1388252
  [133]  9.3317841  7.2873065  0.5204445  6.2271925  3.5560416  1.7743772
  [139]  5.7600020  9.7224817  4.4595536  3.4950895  5.0963543 17.5450150
  [145]  3.6951974  2.2188479  8.1303423  5.0891682  1.9485559  1.4546004
  [151]  7.9527166  6.5427596  3.0514591  3.4128686 11.3686714  6.8962304
  [157]  1.2140810  1.8846550  5.9086211  0.4479435  1.9355181  2.3723640
  [163]  1.1354890 10.1862737  0.2940430  5.1364700  1.1837632  2.3501838
  [169]  2.0002235  2.5651551  5.7159935  3.4632137  4.8497698 10.8597380
  [175]  8.5235722  5.9667808  9.6849782  5.9407630  2.6152478  4.2283696
  [181]  3.4461228  8.3625295  1.4336702  9.3689079  2.5897417  6.1163519
  [187]  4.2049979  5.0866536 12.3480550  0.7822256  2.7220042 13.5937122
  [193]  2.9055548  1.6689608 16.6955634 27.3537371 12.1960853 11.3328397
  [199]  4.9411954  4.6612808  2.7159232  6.4825295  6.5370905 12.4322587
  [205]  0.7822435  5.2185367  3.8889654  7.5819784  5.5656879  0.8975321
  [211]  6.0734962  6.5027180  7.1819962 14.6430307  3.5933889  3.6497580
  [217]  8.8811995  7.0698468  2.7628081  2.3392097  4.8459347  3.0019310
  [223] 12.1344361  8.3498841  7.6666205  3.9736164  4.5352774  5.2664121
  [229]  1.4648469  5.9980436  2.1229193  3.0929862  5.6547976  2.3391432
  [235]  2.9451569  1.6529651  4.1331428  3.2120410  2.0170012  6.3419533
  [241]  6.5052884  4.9978405  6.5391702  1.9837042  6.0966136  1.8940533
  [247]  4.6953248  5.9146927 20.4805689  5.4377158  1.6476851  1.8805305
  [253]  6.2741486  1.4911666  4.8556533  0.6580335  1.8332755  2.0894394
  [259]  7.7734240  2.1052261  4.4961940 12.5993894  3.6832577  5.5814340
  [265]  6.4357161  5.2124703  1.7317422  2.7696311 15.7141086  4.5458122
  [271]  7.5636763  9.5758368  6.2589182  1.3681103 13.0325448  4.2744371
  [277]  4.5477874  4.8481067  4.9701465  3.6810191  5.8096602  3.5307859
  [283]  1.7014941  3.0215588  1.7001285  8.5441044  2.7874107  1.5812005
  [289]  3.2107929 13.7590489  1.5651026  6.8392036  6.7227710 14.5784832
  [295] 20.9927110  4.0635504  4.0991441  3.6030560  3.3113876 22.2158013
  [301]  0.8249826 11.8450017  4.3458704  4.1991855  8.0717015 22.8816012
  [307]  9.3438695 13.3623267  9.6440029  1.9547411  2.8214399  7.2043340
  [313]  2.0140978  4.4897589  7.0852167  1.3319910  5.3271285  4.6085316
  [319]  4.4424350  2.0061106  3.6214451 11.9114872  6.2859637  7.5487837
  [325]  8.8871206  6.7500126  1.7425345  6.1595479  8.0672468 11.2366971
  [331]  6.1377369 20.6781178 10.1947039  1.6630385 15.4377887  1.1684063
  [337]  9.2163542  0.9592103  8.8347752  1.8030950  6.6702515  6.4371346
  [343]  3.5949365  3.9298810  2.0814536  3.8361073  3.2130624  5.2322853
  [349]  5.0743279  3.6100668  6.8466593  1.5776298  2.0709684  0.7996148
  [355]  1.6003725  2.4463504  3.8416611  1.7138870  8.2764407  3.1954234
  [361] 11.3320438  3.7863956  1.0595637  4.0397053  7.7822860  6.2946369
  [367]  7.4405535  2.2913624  4.4618692  2.5961259  2.6449315 20.9625002
  [373]  3.3089318  6.8863680  4.8010045  8.6939996  3.0392177  2.8386997
  [379]  4.0273953  2.2022661  7.4657768 13.1624020  0.8408168  1.6352120
  [385]  6.8003958 10.4076624  9.2332517  8.1145588 17.3691485  4.1384739
  [391]  3.1897657  4.9368208  3.4015966  2.1816921  5.6250054  5.7955220
  [397]  6.7007282  6.7074168  1.7694967 19.1577691


gavinsimpson/gratia documentation built on March 5, 2025, 10:01 a.m.