CRAN Package Check Results for Package simulateDCE

Last updated on 2026-05-14 06:51:10 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.3.2 5.56 146.83 152.39 ERROR
r-devel-linux-x86_64-debian-gcc 0.3.2 3.79 133.06 136.85 OK
r-devel-linux-x86_64-fedora-clang 0.3.2 10.00 224.95 234.95 OK
r-devel-linux-x86_64-fedora-gcc 0.3.2 8.00 250.23 258.23 OK
r-devel-windows-x86_64 0.3.2 7.00 196.00 203.00 OK
r-patched-linux-x86_64 0.3.2 4.44 144.68 149.12 OK
r-release-linux-x86_64 0.3.2 3.83 142.23 146.06 OK
r-release-macos-arm64 0.3.2 1.00 59.00 60.00 OK
r-release-macos-x86_64 0.3.2 4.00 227.00 231.00 OK
r-release-windows-x86_64 0.3.2 7.00 200.00 207.00 OK
r-oldrel-macos-arm64 0.3.2 1.00 54.00 55.00 OK
r-oldrel-macos-x86_64 0.3.2 3.00 200.00 203.00 OK
r-oldrel-windows-x86_64 0.3.2 11.00 254.00 265.00 OK

Check Details

Version: 0.3.2
Check: tests
Result: ERROR Running ‘testthat.R’ [40s/71s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/tests.html > # * https://testthat.r-lib.org/reference/test_package.html#special-files > > library(testthat) > > > test_check("simulateDCE") Loading required package: simulateDCE New names: * `Choice situation` -> `Choice.situation` * `` -> `...12` New names: * `Choice situation` -> `Choice.situation` * `` -> `...12` I guessed it is an ngene file New names: * `Choice situation` -> `Choice.situation` * `` -> `...12` New names: * `Choice situation` -> `Choice.situation` * `` -> `...12` I assume it is a spdesign. I guessed it is an ngene file New names: * `Choice situation` -> `Choice.situation` * `` -> `...12` New names: * `Choice situation` -> `Choice.situation` * `` -> `...12` I assume it is a spdesign. I assume it is an idefix design. I guessed it is an ngene file New names: * `Choice situation` -> `Choice.situation` * `` -> `...12` 'simple' is deprecated and will be removed in the future. Use 'exact' instead. bcoeff_lookup already exists; skipping modification. Utility function used in simulation (true utility): $u1 $u1$v1 V.1 ~ bsq * alt1.sq <environment: 0x5572272b7228> $u1$v2 V.2 ~ bfarm2 * alt2.farm2 + bfarm3 * alt2.farm3 + bheight2 * alt2.height2 + bheight3 * alt2.height3 + bredkite * alt2.redkite + bdistance * alt2.distance + bcost * alt2.cost <environment: 0x557227314a90> $u1$v3 V.3 ~ bfarm2 * alt3.farm2 + bfarm3 * alt3.farm3 + bheight2 * alt3.height2 + bheight3 * alt3.height3 + bredkite * alt3.redkite + bdistance * alt3.distance + bcost * alt3.cost <environment: 0x55722737e918> 'simple' is deprecated and will be removed in the future. Use 'exact' instead. bcoeff_lookup already exists; skipping modification. Utility function used in simulation (true utility): $u1 $u1$v1 V.1 ~ bsq * alt1.sq <environment: 0x557224f54a10> $u1$v2 V.2 ~ bfarm2 * alt2.farm2 + bfarm3 * alt2.farm3 + bheight2 * alt2.height2 + bheight3 * alt2.height3 + bredkite * alt2.redkite + bdistance * alt2.distance + bcost * alt2.cost <environment: 0x557224df76b8> $u1$v3 V.3 ~ bfarm2 * alt3.farm2 + bfarm3 * alt3.farm3 + bheight2 * alt3.height2 + bheight3 * alt3.height3 + bredkite * alt3.redkite + bdistance * alt3.distance + bcost * alt3.cost <environment: 0x557224da39d8> Saving _problems/test-sim_all-48.R 'simple' is deprecated and will be removed in the future. Use 'exact' instead. bcoeff_lookup already exists; skipping modification. Utility function used in simulation (true utility): $u1 $u1$v1 V.1 ~ bsq * alt1.sq <environment: 0x5572299f9ac8> $u1$v2 V.2 ~ bfarm2 * alt2.farm2 + bfarm3 * alt2.farm3 + bheight2 * alt2.height2 + bheight3 * alt2.height3 + bredkite * alt2.redkite + bdistance * alt2.distance + bcost * alt2.cost <environment: 0x557229a341e0> $u1$v3 V.3 ~ bfarm2 * alt3.farm2 + bfarm3 * alt3.farm3 + bheight2 * alt3.height2 + bheight3 * alt3.height3 + bredkite * alt3.redkite + bdistance * alt3.distance + bcost * alt3.cost <environment: 0x557229a755d8> No preprocess function provided. Proceeding without additional preprocessing. dataset preprossed_data exists: FALSE decisiongroups exists: FALSE data has been created First few observations of the dataset ID Choice_situation alt1_sq alt2_farm2 alt2_farm3 alt2_height2 alt2_height3 1 1 14 1 0 1 1 0 2 1 17 1 1 0 0 1 3 1 26 1 1 0 0 0 4 1 64 1 1 0 1 0 5 1 72 1 0 0 0 1 6 1 75 1 0 0 0 1 alt2_redkite alt2_distance alt2_cost alt3_farm2 alt3_farm3 alt3_height2 1 -2.5 1.00 7 1 0 0 2 5.0 0.25 8 0 1 1 3 -2.5 0.00 6 0 1 1 4 -2.5 0.25 9 0 1 0 5 -5.0 0.00 5 1 0 0 6 0.0 1.00 10 0 1 1 alt3_height3 alt3_redkite alt3_distance alt3_cost Block group V_1 V_2 V_3 1 0 2.5 0.25 4 1 1 0 1.025 0.050 2 0 2.5 0.25 10 1 1 0 0.225 0.250 3 0 5.0 0.00 3 1 1 0 0.075 0.350 4 1 5.0 0.50 3 1 1 0 0.300 0.850 5 0 2.5 1.00 4 1 1 0 0.500 0.425 6 0 -5.0 0.25 3 1 1 0 0.500 0.975 e_1 e_2 e_3 U_1 U_2 U_3 CHOICE 1 1.2032321 2.2526979 -1.8133303 1.2032321 3.2776979 -1.76333026 2 2 1.3215956 1.2257961 0.7278753 1.3215956 1.4507961 0.97787527 2 3 0.2237437 1.2195446 -0.2895272 0.2237437 1.2945446 0.06047284 2 4 0.5785869 -1.0369289 1.3576192 0.5785869 -0.7369289 2.20761923 3 5 1.4282446 0.3670292 -0.8595572 1.4282446 0.8670292 -0.43455721 1 6 0.1601561 5.9649992 1.0977633 0.1601561 6.4649992 2.07276329 2 No preprocess function provided. Proceeding without additional preprocessing. dataset preprossed_data exists: FALSE decisiongroups exists: FALSE data has been created First few observations of the dataset ID Choice_situation alt1_sq alt2_farm2 alt2_farm3 alt2_height2 alt2_height3 1 1 14 1 0 1 1 0 2 1 17 1 1 0 0 1 3 1 26 1 1 0 0 0 4 1 64 1 1 0 1 0 5 1 72 1 0 0 0 1 6 1 75 1 0 0 0 1 alt2_redkite alt2_distance alt2_cost alt3_farm2 alt3_farm3 alt3_height2 1 -2.5 1.00 7 1 0 0 2 5.0 0.25 8 0 1 1 3 -2.5 0.00 6 0 1 1 4 -2.5 0.25 9 0 1 0 5 -5.0 0.00 5 1 0 0 6 0.0 1.00 10 0 1 1 alt3_height3 alt3_redkite alt3_distance alt3_cost Block group V_1 V_2 V_3 1 0 2.5 0.25 4 1 1 0 1.025 0.050 2 0 2.5 0.25 10 1 1 0 0.225 0.250 3 0 5.0 0.00 3 1 1 0 0.075 0.350 4 1 5.0 0.50 3 1 1 0 0.300 0.850 5 0 2.5 1.00 4 1 1 0 0.500 0.425 6 0 -5.0 0.25 3 1 1 0 0.500 0.975 e_1 e_2 e_3 U_1 U_2 U_3 CHOICE 1 -1.2976049 1.2079503 3.3066257 -1.2976049 2.2329503 3.3566257 3 2 -0.1249297 0.1591410 1.4665741 -0.1249297 0.3841410 1.7165741 3 3 1.2029919 0.5303838 1.9727267 1.2029919 0.6053838 2.3227267 3 4 -0.4606904 5.6509912 -0.3551471 -0.4606904 5.9509912 0.4948529 2 5 -0.7993105 0.7189799 0.8030211 -0.7993105 1.2189799 1.2280211 3 6 -0.6517607 0.8419812 2.2509676 -0.6517607 1.3419812 3.2259676 3 Transformed utility function (type: simple): [1] "U_1 = @bsq * $alt1_sq ;U_2 = @bfarm2 * $alt2_farm2 + @bfarm3 * $alt2_farm3 + @bheight2 * $alt2_height2 + @bheight3 * $alt2_height3 + @bredkite * $alt2_redkite + @bdistance * $alt2_distance + @bcost * $alt2_cost ;U_3 = @bfarm2 * $alt3_farm2 + @bfarm3 * $alt3_farm3 + @bheight2 * $alt3_height2 + @bheight3 * $alt3_height3 + @bredkite * $alt3_redkite + @bdistance * $alt3_distance + @bcost * $alt3_cost ;" Initial function value: -439.4449 Initial gradient value: bsq bfarm2 bfarm3 bheight2 bheight3 bredkite bdistance bcost -37.33333 12.66667 28.00000 6.00000 19.00000 37.50000 30.41667 135.33333 initial value 439.444915 iter 2 value 436.567600 iter 3 value 434.303326 iter 4 value 423.951398 iter 5 value 423.114335 iter 6 value 422.966578 iter 7 value 422.739244 iter 8 value 422.128892 iter 9 value 421.523656 iter 10 value 421.385904 iter 11 value 420.945031 iter 12 value 420.940765 iter 12 value 420.940762 iter 12 value 420.940762 final value 420.940762 converged Initial function value: -439.4449 Initial gradient value: bsq bfarm2 bfarm3 bheight2 bheight3 bredkite -24.333333 6.666667 10.000000 1.000000 24.000000 -127.500000 bdistance bcost 28.916667 70.333333 initial value 439.444915 iter 2 value 435.141228 iter 3 value 434.398721 iter 4 value 423.642476 iter 5 value 422.684064 iter 6 value 422.450797 iter 7 value 422.275510 iter 8 value 422.217331 iter 9 value 421.953268 iter 10 value 421.781685 iter 11 value 421.551347 iter 12 value 421.551335 iter 12 value 421.551335 iter 12 value 421.551335 final value 421.551335 converged Summary table: =================== ==== === ===== ==== ====== ===== ===== ===== ==== ======== ==== \ vars n mean sd median min max range skew kurtosis se =================== ==== === ===== ==== ====== ===== ===== ===== ==== ======== ==== est_bsq 1 2 -0.10 0.24 -0.10 -0.27 0.07 0.34 0 -2.75 0.17 est_bfarm2 2 2 0.17 0.16 0.17 0.06 0.29 0.23 0 -2.75 0.12 est_bfarm3 3 2 0.36 0.30 0.36 0.15 0.58 0.43 0 -2.75 0.21 est_bheight2 4 2 -0.02 0.15 -0.02 -0.13 0.09 0.22 0 -2.75 0.11 est_bheight3 5 2 0.32 0.21 0.32 0.17 0.47 0.30 0 -2.75 0.15 est_bredkite 6 2 -0.02 0.05 -0.02 -0.06 0.01 0.07 0 -2.75 0.04 est_bdistance 7 2 0.57 0.19 0.57 0.43 0.70 0.27 0 -2.75 0.13 est_bcost 8 2 -0.06 0.01 -0.06 -0.06 -0.05 0.01 0 -2.75 0.01 rob_pval0_bsq 9 2 0.55 0.32 0.55 0.32 0.78 0.46 0 -2.75 0.23 rob_pval0_bfarm2 10 2 0.45 0.45 0.45 0.13 0.77 0.64 0 -2.75 0.32 rob_pval0_bfarm3 11 2 0.24 0.33 0.24 0.00 0.47 0.46 0 -2.75 0.23 rob_pval0_bheight2 12 2 0.48 0.17 0.48 0.36 0.60 0.24 0 -2.75 0.12 rob_pval0_bheight3 13 2 0.16 0.22 0.16 0.00 0.31 0.31 0 -2.75 0.15 rob_pval0_bredkite 14 2 0.31 0.43 0.31 0.01 0.62 0.61 0 -2.75 0.31 rob_pval0_bdistance 15 2 0.01 0.02 0.01 0.00 0.02 0.02 0 -2.75 0.01 rob_pval0_bcost 16 2 0.01 0.01 0.01 0.01 0.02 0.01 0 -2.75 0.01 =================== ==== === ===== ==== ====== ===== ===== ===== ==== ======== ==== Power results: FALSE 100 total time for simulation and estimation: 15.531 sec elapsed $tic elapsed 7.941 $toc elapsed 23.472 $msg [1] "total time for simulation and estimation" $callback_msg [1] "total time for simulation and estimation: 15.531 sec elapsed" Trying tidyr::pivot_longer for reshaping... 'simple' is deprecated and will be removed in the future. Use 'exact' instead. bcoeff_lookup already exists; skipping modification. Utility function used in simulation (true utility): $u1 $u1$v1 V.1 ~ bsq * alt1.sq <environment: 0x5572237d6fc8> $u1$v2 V.2 ~ bfarm2 * alt2.farm2 + bfarm3 * alt2.farm3 + bheight2 * alt2.height2 + bheight3 * alt2.height3 + bredkite * alt2.redkite + bdistance * alt2.distance + bcost * alt2.cost <environment: 0x55722375e440> $u1$v3 V.3 ~ bfarm2 * alt3.farm2 + bfarm3 * alt3.farm3 + bheight2 * alt3.height2 + bheight3 * alt3.height3 + bredkite * alt3.redkite + bdistance * alt3.distance + bcost * alt3.cost <environment: 0x5572234a7ba0> No preprocess function provided. Proceeding without additional preprocessing. dataset preprossed_data exists: FALSE decisiongroups exists: FALSE data has been created First few observations of the dataset ID Choice_situation alt1_sq alt2_farm2 alt2_farm3 alt2_height2 alt2_height3 1 1 14 1 0 1 1 0 2 1 17 1 1 0 0 1 3 1 26 1 1 0 0 0 4 1 64 1 1 0 1 0 5 1 72 1 0 0 0 1 6 1 75 1 0 0 0 1 alt2_redkite alt2_distance alt2_cost alt3_farm2 alt3_farm3 alt3_height2 1 -2.5 1.00 7 1 0 0 2 5.0 0.25 8 0 1 1 3 -2.5 0.00 6 0 1 1 4 -2.5 0.25 9 0 1 0 5 -5.0 0.00 5 1 0 0 6 0.0 1.00 10 0 1 1 alt3_height3 alt3_redkite alt3_distance alt3_cost Block group V_1 V_2 V_3 1 0 2.5 0.25 4 1 1 0 1.025 0.050 2 0 2.5 0.25 10 1 1 0 0.225 0.250 3 0 5.0 0.00 3 1 1 0 0.075 0.350 4 1 5.0 0.50 3 1 1 0 0.300 0.850 5 0 2.5 1.00 4 1 1 0 0.500 0.425 6 0 -5.0 0.25 3 1 1 0 0.500 0.975 e_1 e_2 e_3 U_1 U_2 U_3 CHOICE 1 -0.78431722 -0.5370213 1.78723161 -0.78431722 0.4879787 1.83723161 3 2 0.89942217 -0.8217744 -1.13377367 0.89942217 -0.5967744 -0.88377367 1 3 -0.21892219 -0.6382350 -0.43739298 -0.21892219 -0.5632350 -0.08739298 3 4 -0.05307909 -0.5067132 -0.36942821 -0.05307909 -0.2067132 0.48057179 3 5 4.69151818 1.1744229 -1.25901221 4.69151818 1.6744229 -0.83401221 1 6 -0.54545119 -0.8391859 -0.02258502 -0.54545119 -0.3391859 0.95241498 3 No preprocess function provided. Proceeding without additional preprocessing. dataset preprossed_data exists: FALSE decisiongroups exists: FALSE data has been created First few observations of the dataset ID Choice_situation alt1_sq alt2_farm2 alt2_farm3 alt2_height2 alt2_height3 1 1 14 1 0 1 1 0 2 1 17 1 1 0 0 1 3 1 26 1 1 0 0 0 4 1 64 1 1 0 1 0 5 1 72 1 0 0 0 1 6 1 75 1 0 0 0 1 alt2_redkite alt2_distance alt2_cost alt3_farm2 alt3_farm3 alt3_height2 1 -2.5 1.00 7 1 0 0 2 5.0 0.25 8 0 1 1 3 -2.5 0.00 6 0 1 1 4 -2.5 0.25 9 0 1 0 5 -5.0 0.00 5 1 0 0 6 0.0 1.00 10 0 1 1 alt3_height3 alt3_redkite alt3_distance alt3_cost Block group V_1 V_2 V_3 1 0 2.5 0.25 4 1 1 0 1.025 0.050 2 0 2.5 0.25 10 1 1 0 0.225 0.250 3 0 5.0 0.00 3 1 1 0 0.075 0.350 4 1 5.0 0.50 3 1 1 0 0.300 0.850 5 0 2.5 1.00 4 1 1 0 0.500 0.425 6 0 -5.0 0.25 3 1 1 0 0.500 0.975 e_1 e_2 e_3 U_1 U_2 U_3 CHOICE 1 -0.9037131 -0.3137429 0.7767242 -0.9037131 0.71125713 0.8267242 3 2 2.0558689 1.0951927 -1.1288137 2.0558689 1.32019268 -0.8788137 1 3 2.5031509 0.7636372 1.4652592 2.5031509 0.83863722 1.8152592 1 4 0.4556093 1.0986471 1.0948126 0.4556093 1.39864705 1.9448126 3 5 -0.3234814 -0.4238654 0.7120557 -0.3234814 0.07613459 1.1370557 3 6 -0.5036942 3.2575556 2.4493290 -0.5036942 3.75755556 3.4243290 2 Transformed utility function (type: simple): [1] "U_1 = @bsq * $alt1_sq ;U_2 = @bfarm2 * $alt2_farm2 + @bfarm3 * $alt2_farm3 + @bheight2 * $alt2_height2 + @bheight3 * $alt2_height3 + @bredkite * $alt2_redkite + @bdistance * $alt2_distance + @bcost * $alt2_cost ;U_3 = @bfarm2 * $alt3_farm2 + @bfarm3 * $alt3_farm3 + @bheight2 * $alt3_height2 + @bheight3 * $alt3_height3 + @bredkite * $alt3_redkite + @bdistance * $alt3_distance + @bcost * $alt3_cost ;" Initial function value: -439.4449 Initial gradient value: bsq bfarm2 bfarm3 bheight2 bheight3 bredkite bdistance -33.333333 8.666667 19.000000 10.000000 27.000000 -72.500000 32.666667 bcost 147.333333 initial value 439.444915 iter 2 value 435.427767 iter 3 value 435.090112 iter 4 value 423.038264 iter 5 value 421.917351 iter 6 value 421.507254 iter 7 value 421.359462 iter 8 value 421.253319 iter 9 value 420.832073 iter 10 value 420.618197 iter 11 value 420.519563 iter 12 value 420.519529 iter 12 value 420.519529 iter 12 value 420.519529 final value 420.519529 converged Initial function value: -439.4449 Initial gradient value: bsq bfarm2 bfarm3 bheight2 bheight3 bredkite bdistance bcost -32.33333 15.66667 18.00000 17.00000 12.00000 -62.50000 28.41667 118.33333 initial value 439.444915 iter 2 value 436.610204 iter 3 value 436.087419 iter 4 value 427.384201 iter 5 value 426.972995 iter 6 value 426.426190 iter 7 value 426.250595 iter 8 value 426.058491 iter 9 value 425.434890 iter 10 value 425.236758 iter 11 value 425.110463 iter 12 value 425.110237 iter 12 value 425.110237 iter 12 value 425.110237 final value 425.110237 converged Summary table: =================== ==== === ===== ==== ====== ===== ===== ===== ==== ======== ==== \ vars n mean sd median min max range skew kurtosis se =================== ==== === ===== ==== ====== ===== ===== ===== ==== ======== ==== est_bsq 1 2 0.10 0.13 0.10 0.01 0.19 0.18 0 -2.75 0.09 est_bfarm2 2 2 0.22 0.14 0.22 0.12 0.32 0.20 0 -2.75 0.10 est_bfarm3 3 2 0.34 0.05 0.34 0.31 0.37 0.07 0 -2.75 0.03 est_bheight2 4 2 0.25 0.02 0.25 0.23 0.26 0.03 0 -2.75 0.01 est_bheight3 5 2 0.39 0.23 0.39 0.23 0.56 0.33 0 -2.75 0.17 est_bredkite 6 2 -0.04 0.00 -0.04 -0.04 -0.03 0.01 0 -2.75 0.00 est_bdistance 7 2 0.57 0.12 0.57 0.48 0.66 0.17 0 -2.75 0.09 est_bcost 8 2 -0.04 0.01 -0.04 -0.04 -0.03 0.01 0 -2.75 0.01 rob_pval0_bsq 9 2 0.73 0.35 0.73 0.48 0.98 0.50 0 -2.75 0.25 rob_pval0_bfarm2 10 2 0.27 0.38 0.27 0.01 0.54 0.54 0 -2.75 0.27 rob_pval0_bfarm3 11 2 0.04 0.03 0.04 0.02 0.06 0.04 0 -2.75 0.02 rob_pval0_bheight2 12 2 0.18 0.03 0.18 0.16 0.20 0.04 0 -2.75 0.02 rob_pval0_bheight3 13 2 0.10 0.14 0.10 0.00 0.20 0.20 0 -2.75 0.10 rob_pval0_bredkite 14 2 0.04 0.01 0.04 0.03 0.05 0.02 0 -2.75 0.01 rob_pval0_bdistance 15 2 0.00 0.01 0.00 0.00 0.01 0.01 0 -2.75 0.00 rob_pval0_bcost 16 2 0.16 0.09 0.16 0.10 0.23 0.13 0 -2.75 0.06 =================== ==== === ===== ==== ====== ===== ===== ===== ==== ======== ==== Power results: FALSE 100 total time for simulation and estimation: 4.362 sec elapsed $tic elapsed 29.918 $toc elapsed 34.28 $msg [1] "total time for simulation and estimation" $callback_msg [1] "total time for simulation and estimation: 4.362 sec elapsed" Trying tidyr::pivot_longer for reshaping... 'simple' is deprecated and will be removed in the future. Use 'exact' instead. bcoeff_lookup already exists; skipping modification. Utility function used in simulation (true utility): $u1 $u1$v1 V.1 ~ bsq * alt1.sq <environment: 0x557232076438> $u1$v2 V.2 ~ bfarm2 * alt2.farm2 + bfarm3 * alt2.farm3 + bheight2 * alt2.height2 + bheight3 * alt2.height3 + bredkite * alt2.redkite + bdistance * alt2.distance + bcost * alt2.cost <environment: 0x5572328afdc8> $u1$v3 V.3 ~ bfarm2 * alt3.farm2 + bfarm3 * alt3.farm3 + bheight2 * alt3.height2 + bheight3 * alt3.height3 + bredkite * alt3.redkite + bdistance * alt3.distance + bcost * alt3.cost <environment: 0x5572315b5408> No preprocess function provided. Proceeding without additional preprocessing. dataset preprossed_data exists: FALSE decisiongroups exists: FALSE data has been created First few observations of the dataset ID Choice_situation alt1_sq alt2_farm2 alt2_farm3 alt2_height2 alt2_height3 1 1 14 1 0 1 1 0 2 1 17 1 1 0 0 1 3 1 26 1 1 0 0 0 4 1 64 1 1 0 1 0 5 1 72 1 0 0 0 1 6 1 75 1 0 0 0 1 alt2_redkite alt2_distance alt2_cost alt3_farm2 alt3_farm3 alt3_height2 1 -2.5 1.00 7 1 0 0 2 5.0 0.25 8 0 1 1 3 -2.5 0.00 6 0 1 1 4 -2.5 0.25 9 0 1 0 5 -5.0 0.00 5 1 0 0 6 0.0 1.00 10 0 1 1 alt3_height3 alt3_redkite alt3_distance alt3_cost Block group V_1 V_2 V_3 1 0 2.5 0.25 4 1 1 0 1.025 0.050 2 0 2.5 0.25 10 1 1 0 0.225 0.250 3 0 5.0 0.00 3 1 1 0 0.075 0.350 4 1 5.0 0.50 3 1 1 0 0.300 0.850 5 0 2.5 1.00 4 1 1 0 0.500 0.425 6 0 -5.0 0.25 3 1 1 0 0.500 0.975 e_1 e_2 e_3 U_1 U_2 U_3 CHOICE 1 1.2032321 2.2526979 -1.8133303 1.2032321 3.2776979 -1.76333026 2 2 1.3215956 1.2257961 0.7278753 1.3215956 1.4507961 0.97787527 2 3 0.2237437 1.2195446 -0.2895272 0.2237437 1.2945446 0.06047284 2 4 0.5785869 -1.0369289 1.3576192 0.5785869 -0.7369289 2.20761923 3 5 1.4282446 0.3670292 -0.8595572 1.4282446 0.8670292 -0.43455721 1 6 0.1601561 5.9649992 1.0977633 0.1601561 6.4649992 2.07276329 2 No preprocess function provided. Proceeding without additional preprocessing. dataset preprossed_data exists: FALSE decisiongroups exists: FALSE data has been created First few observations of the dataset ID Choice_situation alt1_sq alt2_farm2 alt2_farm3 alt2_height2 alt2_height3 1 1 14 1 0 1 1 0 2 1 17 1 1 0 0 1 3 1 26 1 1 0 0 0 4 1 64 1 1 0 1 0 5 1 72 1 0 0 0 1 6 1 75 1 0 0 0 1 alt2_redkite alt2_distance alt2_cost alt3_farm2 alt3_farm3 alt3_height2 1 -2.5 1.00 7 1 0 0 2 5.0 0.25 8 0 1 1 3 -2.5 0.00 6 0 1 1 4 -2.5 0.25 9 0 1 0 5 -5.0 0.00 5 1 0 0 6 0.0 1.00 10 0 1 1 alt3_height3 alt3_redkite alt3_distance alt3_cost Block group V_1 V_2 V_3 1 0 2.5 0.25 4 1 1 0 1.025 0.050 2 0 2.5 0.25 10 1 1 0 0.225 0.250 3 0 5.0 0.00 3 1 1 0 0.075 0.350 4 1 5.0 0.50 3 1 1 0 0.300 0.850 5 0 2.5 1.00 4 1 1 0 0.500 0.425 6 0 -5.0 0.25 3 1 1 0 0.500 0.975 e_1 e_2 e_3 U_1 U_2 U_3 CHOICE 1 -1.2976049 1.2079503 3.3066257 -1.2976049 2.2329503 3.3566257 3 2 -0.1249297 0.1591410 1.4665741 -0.1249297 0.3841410 1.7165741 3 3 1.2029919 0.5303838 1.9727267 1.2029919 0.6053838 2.3227267 3 4 -0.4606904 5.6509912 -0.3551471 -0.4606904 5.9509912 0.4948529 2 5 -0.7993105 0.7189799 0.8030211 -0.7993105 1.2189799 1.2280211 3 6 -0.6517607 0.8419812 2.2509676 -0.6517607 1.3419812 3.2259676 3 Transformed utility function (type: simple): [1] "U_1 = @bsq * $alt1_sq ;U_2 = @bfarm2 * $alt2_farm2 + @bfarm3 * $alt2_farm3 + @bheight2 * $alt2_height2 + @bheight3 * $alt2_height3 + @bredkite * $alt2_redkite + @bdistance * $alt2_distance + @bcost * $alt2_cost ;U_3 = @bfarm2 * $alt3_farm2 + @bfarm3 * $alt3_farm3 + @bheight2 * $alt3_height2 + @bheight3 * $alt3_height3 + @bredkite * $alt3_redkite + @bdistance * $alt3_distance + @bcost * $alt3_cost ;" Initial function value: -439.4449 Initial gradient value: bsq bfarm2 bfarm3 bheight2 bheight3 bredkite bdistance bcost -37.33333 12.66667 28.00000 6.00000 19.00000 37.50000 30.41667 135.33333 initial value 439.444915 iter 2 value 436.567600 iter 3 value 434.303326 iter 4 value 423.951398 iter 5 value 423.114335 iter 6 value 422.966578 iter 7 value 422.739244 iter 8 value 422.128892 iter 9 value 421.523656 iter 10 value 421.385904 iter 11 value 420.945031 iter 12 value 420.940765 iter 12 value 420.940762 iter 12 value 420.940762 final value 420.940762 converged Initial function value: -439.4449 Initial gradient value: bsq bfarm2 bfarm3 bheight2 bheight3 bredkite -24.333333 6.666667 10.000000 1.000000 24.000000 -127.500000 bdistance bcost 28.916667 70.333333 initial value 439.444915 iter 2 value 435.141228 iter 3 value 434.398721 iter 4 value 423.642476 iter 5 value 422.684064 iter 6 value 422.450797 iter 7 value 422.275510 iter 8 value 422.217331 iter 9 value 421.953268 iter 10 value 421.781685 iter 11 value 421.551347 iter 12 value 421.551335 iter 12 value 421.551335 iter 12 value 421.551335 final value 421.551335 converged Summary table: =================== ==== === ===== ==== ====== ===== ===== ===== ==== ======== ==== \ vars n mean sd median min max range skew kurtosis se =================== ==== === ===== ==== ====== ===== ===== ===== ==== ======== ==== est_bsq 1 2 -0.10 0.24 -0.10 -0.27 0.07 0.34 0 -2.75 0.17 est_bfarm2 2 2 0.17 0.16 0.17 0.06 0.29 0.23 0 -2.75 0.12 est_bfarm3 3 2 0.36 0.30 0.36 0.15 0.58 0.43 0 -2.75 0.21 est_bheight2 4 2 -0.02 0.15 -0.02 -0.13 0.09 0.22 0 -2.75 0.11 est_bheight3 5 2 0.32 0.21 0.32 0.17 0.47 0.30 0 -2.75 0.15 est_bredkite 6 2 -0.02 0.05 -0.02 -0.06 0.01 0.07 0 -2.75 0.04 est_bdistance 7 2 0.57 0.19 0.57 0.43 0.70 0.27 0 -2.75 0.13 est_bcost 8 2 -0.06 0.01 -0.06 -0.06 -0.05 0.01 0 -2.75 0.01 rob_pval0_bsq 9 2 0.55 0.32 0.55 0.32 0.78 0.46 0 -2.75 0.23 rob_pval0_bfarm2 10 2 0.45 0.45 0.45 0.13 0.77 0.64 0 -2.75 0.32 rob_pval0_bfarm3 11 2 0.24 0.33 0.24 0.00 0.47 0.46 0 -2.75 0.23 rob_pval0_bheight2 12 2 0.48 0.17 0.48 0.36 0.60 0.24 0 -2.75 0.12 rob_pval0_bheight3 13 2 0.16 0.22 0.16 0.00 0.31 0.31 0 -2.75 0.15 rob_pval0_bredkite 14 2 0.31 0.43 0.31 0.01 0.62 0.61 0 -2.75 0.31 rob_pval0_bdistance 15 2 0.01 0.02 0.01 0.00 0.02 0.02 0 -2.75 0.01 rob_pval0_bcost 16 2 0.01 0.01 0.01 0.01 0.02 0.01 0 -2.75 0.01 =================== ==== === ===== ==== ====== ===== ===== ===== ==== ======== ==== Power results: FALSE 100 total time for simulation and estimation: 4.381 sec elapsed $tic elapsed 38.156 $toc elapsed 42.537 $msg [1] "total time for simulation and estimation" $callback_msg [1] "total time for simulation and estimation: 4.381 sec elapsed" Trying tidyr::pivot_longer for reshaping... bcoeff_lookup already exists; skipping modification. Utility function used in simulation (true utility): $u1 $u1$v1 V.1 ~ bsq * alt1.sq <environment: 0x557226748d50> $u1$v2 V.2 ~ bfarm2 * alt2.farm2 + bfarm3 * alt2.farm3 + bheight2 * alt2.height2 + bheight3 * alt2.height3 + bredkite * alt2.redkite + bdistance * alt2.distance + bcost * alt2.cost <environment: 0x5572265cddb8> $u1$v3 V.3 ~ bfarm2 * alt3.farm2 + bfarm3 * alt3.farm3 + bheight2 * alt3.height2 + bheight3 * alt3.height3 + bredkite * alt3.redkite + bdistance * alt3.distance + bcost * alt3.cost <environment: 0x5572264d9848> No preprocess function provided. Proceeding without additional preprocessing. dataset preprossed_data exists: FALSE decisiongroups exists: FALSE data has been created First few observations of the dataset ID Choice_situation alt1_sq alt2_farm2 alt2_farm3 alt2_height2 alt2_height3 1 1 14 1 0 1 1 0 2 1 17 1 1 0 0 1 3 1 26 1 1 0 0 0 4 1 64 1 1 0 1 0 5 1 72 1 0 0 0 1 6 1 75 1 0 0 0 1 alt2_redkite alt2_distance alt2_cost alt3_farm2 alt3_farm3 alt3_height2 1 -2.5 1.00 7 1 0 0 2 5.0 0.25 8 0 1 1 3 -2.5 0.00 6 0 1 1 4 -2.5 0.25 9 0 1 0 5 -5.0 0.00 5 1 0 0 6 0.0 1.00 10 0 1 1 alt3_height3 alt3_redkite alt3_distance alt3_cost Block group V_1 V_2 V_3 1 0 2.5 0.25 4 1 1 0 1.025 0.050 2 0 2.5 0.25 10 1 1 0 0.225 0.250 3 0 5.0 0.00 3 1 1 0 0.075 0.350 4 1 5.0 0.50 3 1 1 0 0.300 0.850 5 0 2.5 1.00 4 1 1 0 0.500 0.425 6 0 -5.0 0.25 3 1 1 0 0.500 0.975 e_1 e_2 e_3 U_1 U_2 U_3 CHOICE 1 1.2032321 2.2526979 -1.8133303 1.2032321 3.2776979 -1.76333026 2 2 1.3215956 1.2257961 0.7278753 1.3215956 1.4507961 0.97787527 2 3 0.2237437 1.2195446 -0.2895272 0.2237437 1.2945446 0.06047284 2 4 0.5785869 -1.0369289 1.3576192 0.5785869 -0.7369289 2.20761923 3 5 1.4282446 0.3670292 -0.8595572 1.4282446 0.8670292 -0.43455721 1 6 0.1601561 5.9649992 1.0977633 0.1601561 6.4649992 2.07276329 2 No preprocess function provided. Proceeding without additional preprocessing. dataset preprossed_data exists: FALSE decisiongroups exists: FALSE data has been created First few observations of the dataset ID Choice_situation alt1_sq alt2_farm2 alt2_farm3 alt2_height2 alt2_height3 1 1 14 1 0 1 1 0 2 1 17 1 1 0 0 1 3 1 26 1 1 0 0 0 4 1 64 1 1 0 1 0 5 1 72 1 0 0 0 1 6 1 75 1 0 0 0 1 alt2_redkite alt2_distance alt2_cost alt3_farm2 alt3_farm3 alt3_height2 1 -2.5 1.00 7 1 0 0 2 5.0 0.25 8 0 1 1 3 -2.5 0.00 6 0 1 1 4 -2.5 0.25 9 0 1 0 5 -5.0 0.00 5 1 0 0 6 0.0 1.00 10 0 1 1 alt3_height3 alt3_redkite alt3_distance alt3_cost Block group V_1 V_2 V_3 1 0 2.5 0.25 4 1 1 0 1.025 0.050 2 0 2.5 0.25 10 1 1 0 0.225 0.250 3 0 5.0 0.00 3 1 1 0 0.075 0.350 4 1 5.0 0.50 3 1 1 0 0.300 0.850 5 0 2.5 1.00 4 1 1 0 0.500 0.425 6 0 -5.0 0.25 3 1 1 0 0.500 0.975 e_1 e_2 e_3 U_1 U_2 U_3 CHOICE 1 -1.2976049 1.2079503 3.3066257 -1.2976049 2.2329503 3.3566257 3 2 -0.1249297 0.1591410 1.4665741 -0.1249297 0.3841410 1.7165741 3 3 1.2029919 0.5303838 1.9727267 1.2029919 0.6053838 2.3227267 3 4 -0.4606904 5.6509912 -0.3551471 -0.4606904 5.9509912 0.4948529 2 5 -0.7993105 0.7189799 0.8030211 -0.7993105 1.2189799 1.2280211 3 6 -0.6517607 0.8419812 2.2509676 -0.6517607 1.3419812 3.2259676 3 Transformed utility function (type: exact): [1] "U_1 = @bsq * $alt1_sq ;U_2 = @bfarm2 * $alt2_farm2 + @bfarm3 * $alt2_farm3 + @bheight2 * $alt2_height2 + @bheight3 * $alt2_height3 + @bredkite * $alt2_redkite + @bdistance * $alt2_distance + @bcost * $alt2_cost ;U_3 = @bfarm2 * $alt3_farm2 + @bfarm3 * $alt3_farm3 + @bheight2 * $alt3_height2 + @bheight3 * $alt3_height3 + @bredkite * $alt3_redkite + @bdistance * $alt3_distance + @bcost * $alt3_cost ;" Initial function value: -439.4449 Initial gradient value: bsq bfarm2 bfarm3 bheight2 bheight3 bredkite bdistance bcost -37.33333 12.66667 28.00000 6.00000 19.00000 37.50000 30.41667 135.33333 initial value 439.444915 iter 2 value 436.567600 iter 3 value 434.303326 iter 4 value 423.951398 iter 5 value 423.114335 iter 6 value 422.966578 iter 7 value 422.739244 iter 8 value 422.128892 iter 9 value 421.523656 iter 10 value 421.385904 iter 11 value 420.945031 iter 12 value 420.940765 iter 12 value 420.940762 iter 12 value 420.940762 final value 420.940762 converged Initial function value: -439.4449 Initial gradient value: bsq bfarm2 bfarm3 bheight2 bheight3 bredkite -24.333333 6.666667 10.000000 1.000000 24.000000 -127.500000 bdistance bcost 28.916667 70.333333 initial value 439.444915 iter 2 value 435.141228 iter 3 value 434.398721 iter 4 value 423.642476 iter 5 value 422.684064 iter 6 value 422.450797 iter 7 value 422.275510 iter 8 value 422.217331 iter 9 value 421.953268 iter 10 value 421.781685 iter 11 value 421.551347 iter 12 value 421.551335 iter 12 value 421.551335 iter 12 value 421.551335 final value 421.551335 converged Summary table: =================== ==== === ===== ==== ====== ===== ===== ===== ==== ======== ==== \ vars n mean sd median min max range skew kurtosis se =================== ==== === ===== ==== ====== ===== ===== ===== ==== ======== ==== est_bsq 1 2 -0.10 0.24 -0.10 -0.27 0.07 0.34 0 -2.75 0.17 est_bfarm2 2 2 0.17 0.16 0.17 0.06 0.29 0.23 0 -2.75 0.12 est_bfarm3 3 2 0.36 0.30 0.36 0.15 0.58 0.43 0 -2.75 0.21 est_bheight2 4 2 -0.02 0.15 -0.02 -0.13 0.09 0.22 0 -2.75 0.11 est_bheight3 5 2 0.32 0.21 0.32 0.17 0.47 0.30 0 -2.75 0.15 est_bredkite 6 2 -0.02 0.05 -0.02 -0.06 0.01 0.07 0 -2.75 0.04 est_bdistance 7 2 0.57 0.19 0.57 0.43 0.70 0.27 0 -2.75 0.13 est_bcost 8 2 -0.06 0.01 -0.06 -0.06 -0.05 0.01 0 -2.75 0.01 rob_pval0_bsq 9 2 0.55 0.32 0.55 0.32 0.78 0.46 0 -2.75 0.23 rob_pval0_bfarm2 10 2 0.45 0.45 0.45 0.13 0.77 0.64 0 -2.75 0.32 rob_pval0_bfarm3 11 2 0.24 0.33 0.24 0.00 0.47 0.46 0 -2.75 0.23 rob_pval0_bheight2 12 2 0.48 0.17 0.48 0.36 0.60 0.24 0 -2.75 0.12 rob_pval0_bheight3 13 2 0.16 0.22 0.16 0.00 0.31 0.31 0 -2.75 0.15 rob_pval0_bredkite 14 2 0.31 0.43 0.31 0.01 0.62 0.61 0 -2.75 0.31 rob_pval0_bdistance 15 2 0.01 0.02 0.01 0.00 0.02 0.02 0 -2.75 0.01 rob_pval0_bcost 16 2 0.01 0.01 0.01 0.01 0.02 0.01 0 -2.75 0.01 =================== ==== === ===== ==== ====== ===== ===== ===== ==== ======== ==== Power results: FALSE 100 total time for simulation and estimation: 3.955 sec elapsed $tic elapsed 46.165 $toc elapsed 50.12 $msg [1] "total time for simulation and estimation" $callback_msg [1] "total time for simulation and estimation: 3.955 sec elapsed" Trying tidyr::pivot_longer for reshaping... 'simple' is deprecated and will be removed in the future. Use 'exact' instead. bcoeff_lookup already exists; skipping modification. Utility function used in simulation (true utility): $u1 $u1$v1 V.1 ~ bsq * alt1.sq <environment: 0x557232fe43b0> $u1$v2 V.2 ~ bfarm2 * alt2.farm2 + bfarm3 * alt2.farm3 + bheight2 * alt2.height2 + bheight3 * alt2.height3 + bredkite * alt2.redkite + bdistance * alt2.distance + bcost * alt2.cost <environment: 0x5572315e3140> $u1$v3 V.3 ~ bfarm2 * alt3.farm2 + bfarm3 * alt3.farm3 + bheight2 * alt3.height2 + bheight3 * alt3.height3 + bredkite * alt3.redkite + bdistance * alt3.distance + bcost * alt3.cost <environment: 0x557232269070> No preprocess function provided. Proceeding without additional preprocessing. dataset preprossed_data exists: FALSE decisiongroups exists: FALSE data has been created First few observations of the dataset ID Choice_situation alt1_sq alt2_farm2 alt2_farm3 alt2_height2 alt2_height3 1 1 14 1 0 1 1 0 2 1 17 1 1 0 0 1 3 1 26 1 1 0 0 0 4 1 64 1 1 0 1 0 5 1 72 1 0 0 0 1 6 1 75 1 0 0 0 1 alt2_redkite alt2_distance alt2_cost alt3_farm2 alt3_farm3 alt3_height2 1 -2.5 1.00 7 1 0 0 2 5.0 0.25 8 0 1 1 3 -2.5 0.00 6 0 1 1 4 -2.5 0.25 9 0 1 0 5 -5.0 0.00 5 1 0 0 6 0.0 1.00 10 0 1 1 alt3_height3 alt3_redkite alt3_distance alt3_cost Block group V_1 V_2 V_3 1 0 2.5 0.25 4 1 1 0 1.025 0.050 2 0 2.5 0.25 10 1 1 0 0.225 0.250 3 0 5.0 0.00 3 1 1 0 0.075 0.350 4 1 5.0 0.50 3 1 1 0 0.300 0.850 5 0 2.5 1.00 4 1 1 0 0.500 0.425 6 0 -5.0 0.25 3 1 1 0 0.500 0.975 e_1 e_2 e_3 U_1 U_2 U_3 CHOICE 1 -0.78431722 -0.5370213 1.78723161 -0.78431722 0.4879787 1.83723161 3 2 0.89942217 -0.8217744 -1.13377367 0.89942217 -0.5967744 -0.88377367 1 3 -0.21892219 -0.6382350 -0.43739298 -0.21892219 -0.5632350 -0.08739298 3 4 -0.05307909 -0.5067132 -0.36942821 -0.05307909 -0.2067132 0.48057179 3 5 4.69151818 1.1744229 -1.25901221 4.69151818 1.6744229 -0.83401221 1 6 -0.54545119 -0.8391859 -0.02258502 -0.54545119 -0.3391859 0.95241498 3 No preprocess function provided. Proceeding without additional preprocessing. dataset preprossed_data exists: FALSE decisiongroups exists: FALSE data has been created First few observations of the dataset ID Choice_situation alt1_sq alt2_farm2 alt2_farm3 alt2_height2 alt2_height3 1 1 14 1 0 1 1 0 2 1 17 1 1 0 0 1 3 1 26 1 1 0 0 0 4 1 64 1 1 0 1 0 5 1 72 1 0 0 0 1 6 1 75 1 0 0 0 1 alt2_redkite alt2_distance alt2_cost alt3_farm2 alt3_farm3 alt3_height2 1 -2.5 1.00 7 1 0 0 2 5.0 0.25 8 0 1 1 3 -2.5 0.00 6 0 1 1 4 -2.5 0.25 9 0 1 0 5 -5.0 0.00 5 1 0 0 6 0.0 1.00 10 0 1 1 alt3_height3 alt3_redkite alt3_distance alt3_cost Block group V_1 V_2 V_3 1 0 2.5 0.25 4 1 1 0 1.025 0.050 2 0 2.5 0.25 10 1 1 0 0.225 0.250 3 0 5.0 0.00 3 1 1 0 0.075 0.350 4 1 5.0 0.50 3 1 1 0 0.300 0.850 5 0 2.5 1.00 4 1 1 0 0.500 0.425 6 0 -5.0 0.25 3 1 1 0 0.500 0.975 e_1 e_2 e_3 U_1 U_2 U_3 CHOICE 1 -0.9037131 -0.3137429 0.7767242 -0.9037131 0.71125713 0.8267242 3 2 2.0558689 1.0951927 -1.1288137 2.0558689 1.32019268 -0.8788137 1 3 2.5031509 0.7636372 1.4652592 2.5031509 0.83863722 1.8152592 1 4 0.4556093 1.0986471 1.0948126 0.4556093 1.39864705 1.9448126 3 5 -0.3234814 -0.4238654 0.7120557 -0.3234814 0.07613459 1.1370557 3 6 -0.5036942 3.2575556 2.4493290 -0.5036942 3.75755556 3.4243290 2 Transformed utility function (type: simple): [1] "U_1 = @bsq * $alt1_sq ;U_2 = @bfarm2 * $alt2_farm2 + @bfarm3 * $alt2_farm3 + @bheight2 * $alt2_height2 + @bheight3 * $alt2_height3 + @bredkite * $alt2_redkite + @bdistance * $alt2_distance + @bcost * $alt2_cost ;U_3 = @bfarm2 * $alt3_farm2 + @bfarm3 * $alt3_farm3 + @bheight2 * $alt3_height2 + @bheight3 * $alt3_height3 + @bredkite * $alt3_redkite + @bdistance * $alt3_distance + @bcost * $alt3_cost ;" Initial function value: -439.4449 Initial gradient value: bsq bfarm2 bfarm3 bheight2 bheight3 bredkite bdistance -33.333333 8.666667 19.000000 10.000000 27.000000 -72.500000 32.666667 bcost 147.333333 initial value 439.444915 iter 2 value 435.427767 iter 3 value 435.090112 iter 4 value 423.038264 iter 5 value 421.917351 iter 6 value 421.507254 iter 7 value 421.359462 iter 8 value 421.253319 iter 9 value 420.832073 iter 10 value 420.618197 iter 11 value 420.519563 iter 12 value 420.519529 iter 12 value 420.519529 iter 12 value 420.519529 final value 420.519529 converged Initial function value: -439.4449 Initial gradient value: bsq bfarm2 bfarm3 bheight2 bheight3 bredkite bdistance bcost -32.33333 15.66667 18.00000 17.00000 12.00000 -62.50000 28.41667 118.33333 initial value 439.444915 iter 2 value 436.610204 iter 3 value 436.087419 iter 4 value 427.384201 iter 5 value 426.972995 iter 6 value 426.426190 iter 7 value 426.250595 iter 8 value 426.058491 iter 9 value 425.434890 iter 10 value 425.236758 iter 11 value 425.110463 iter 12 value 425.110237 iter 12 value 425.110237 iter 12 value 425.110237 final value 425.110237 converged Summary table: =================== ==== === ===== ==== ====== ===== ===== ===== ==== ======== ==== \ vars n mean sd median min max range skew kurtosis se =================== ==== === ===== ==== ====== ===== ===== ===== ==== ======== ==== est_bsq 1 2 0.10 0.13 0.10 0.01 0.19 0.18 0 -2.75 0.09 est_bfarm2 2 2 0.22 0.14 0.22 0.12 0.32 0.20 0 -2.75 0.10 est_bfarm3 3 2 0.34 0.05 0.34 0.31 0.37 0.07 0 -2.75 0.03 est_bheight2 4 2 0.25 0.02 0.25 0.23 0.26 0.03 0 -2.75 0.01 est_bheight3 5 2 0.39 0.23 0.39 0.23 0.56 0.33 0 -2.75 0.17 est_bredkite 6 2 -0.04 0.00 -0.04 -0.04 -0.03 0.01 0 -2.75 0.00 est_bdistance 7 2 0.57 0.12 0.57 0.48 0.66 0.17 0 -2.75 0.09 est_bcost 8 2 -0.04 0.01 -0.04 -0.04 -0.03 0.01 0 -2.75 0.01 rob_pval0_bsq 9 2 0.73 0.35 0.73 0.48 0.98 0.50 0 -2.75 0.25 rob_pval0_bfarm2 10 2 0.27 0.38 0.27 0.01 0.54 0.54 0 -2.75 0.27 rob_pval0_bfarm3 11 2 0.04 0.03 0.04 0.02 0.06 0.04 0 -2.75 0.02 rob_pval0_bheight2 12 2 0.18 0.03 0.18 0.16 0.20 0.04 0 -2.75 0.02 rob_pval0_bheight3 13 2 0.10 0.14 0.10 0.00 0.20 0.20 0 -2.75 0.10 rob_pval0_bredkite 14 2 0.04 0.01 0.04 0.03 0.05 0.02 0 -2.75 0.01 rob_pval0_bdistance 15 2 0.00 0.01 0.00 0.00 0.01 0.01 0 -2.75 0.00 rob_pval0_bcost 16 2 0.16 0.09 0.16 0.10 0.23 0.13 0 -2.75 0.06 =================== ==== === ===== ==== ====== ===== ===== ===== ==== ======== ==== Power results: FALSE 100 total time for simulation and estimation: 3.663 sec elapsed $tic elapsed 54.174 $toc elapsed 57.837 $msg [1] "total time for simulation and estimation" $callback_msg [1] "total time for simulation and estimation: 3.663 sec elapsed" Trying tidyr::pivot_longer for reshaping... 'simple' is deprecated and will be removed in the future. Use 'exact' instead. bcoeff_lookup already exists; skipping modification. Utility function used in simulation (true utility): $u1 $u1$v1 V.1 ~ bsq * alt1.sq <environment: 0x55722e781468> $u1$v2 V.2 ~ bfarm2 * alt2.farm2 + bfarm3 * alt2.farm3 + bheight2 * alt2.height2 + bheight3 * alt2.height3 + bredkite * alt2.redkite + bdistance * alt2.distance + bcost * alt2.cost <environment: 0x5572325d1ce8> $u1$v3 V.3 ~ bfarm2 * alt3.farm2 + bfarm3 * alt3.farm3 + bheight2 * alt3.height2 + bheight3 * alt3.height3 + bredkite * alt3.redkite + bdistance * alt3.distance + bcost * alt3.cost <environment: 0x55722ec498b0> No preprocess function provided. Proceeding without additional preprocessing. dataset preprossed_data exists: FALSE decisiongroups exists: FALSE data has been created First few observations of the dataset ID Choice_situation alt1_sq alt2_farm2 alt2_farm3 alt2_height2 alt2_height3 1 1 14 1 0 1 1 0 2 1 17 1 1 0 0 1 3 1 26 1 1 0 0 0 4 1 64 1 1 0 1 0 5 1 72 1 0 0 0 1 6 1 75 1 0 0 0 1 alt2_redkite alt2_distance alt2_cost alt3_farm2 alt3_farm3 alt3_height2 1 -2.5 1.00 7 1 0 0 2 5.0 0.25 8 0 1 1 3 -2.5 0.00 6 0 1 1 4 -2.5 0.25 9 0 1 0 5 -5.0 0.00 5 1 0 0 6 0.0 1.00 10 0 1 1 alt3_height3 alt3_redkite alt3_distance alt3_cost Block group V_1 V_2 V_3 1 0 2.5 0.25 4 1 1 0 1.025 0.050 2 0 2.5 0.25 10 1 1 0 0.225 0.250 3 0 5.0 0.00 3 1 1 0 0.075 0.350 4 1 5.0 0.50 3 1 1 0 0.300 0.850 5 0 2.5 1.00 4 1 1 0 0.500 0.425 6 0 -5.0 0.25 3 1 1 0 0.500 0.975 e_1 e_2 e_3 U_1 U_2 U_3 CHOICE 1 -0.343080876 0.5579047 2.0521519 -0.343080876 1.5829047 2.1021519 3 2 0.288575550 0.1185012 -0.4336827 0.288575550 0.3435012 -0.1836827 2 3 0.005443456 -1.9479375 -0.9641449 0.005443456 -1.8729375 -0.6141449 1 4 1.398961360 0.5597064 -0.6498366 1.398961360 0.8597064 0.2001634 1 5 -0.845229557 4.6910412 0.1227863 -0.845229557 5.1910412 0.5477863 2 6 1.138775457 5.9350645 1.9103766 1.138775457 6.4350645 2.8853766 2 No preprocess function provided. Proceeding without additional preprocessing. dataset preprossed_data exists: FALSE decisiongroups exists: FALSE data has been created First few observations of the dataset ID Choice_situation alt1_sq alt2_farm2 alt2_farm3 alt2_height2 alt2_height3 1 1 14 1 0 1 1 0 2 1 17 1 1 0 0 1 3 1 26 1 1 0 0 0 4 1 64 1 1 0 1 0 5 1 72 1 0 0 0 1 6 1 75 1 0 0 0 1 alt2_redkite alt2_distance alt2_cost alt3_farm2 alt3_farm3 alt3_height2 1 -2.5 1.00 7 1 0 0 2 5.0 0.25 8 0 1 1 3 -2.5 0.00 6 0 1 1 4 -2.5 0.25 9 0 1 0 5 -5.0 0.00 5 1 0 0 6 0.0 1.00 10 0 1 1 alt3_height3 alt3_redkite alt3_distance alt3_cost Block group V_1 V_2 V_3 1 0 2.5 0.25 4 1 1 0 1.025 0.050 2 0 2.5 0.25 10 1 1 0 0.225 0.250 3 0 5.0 0.00 3 1 1 0 0.075 0.350 4 1 5.0 0.50 3 1 1 0 0.300 0.850 5 0 2.5 1.00 4 1 1 0 0.500 0.425 6 0 -5.0 0.25 3 1 1 0 0.500 0.975 e_1 e_2 e_3 U_1 U_2 U_3 CHOICE 1 -0.482269261 1.68965225 0.1444756 -0.482269261 2.7146523 0.1944756 2 2 0.327306285 5.01631976 -1.1899693 0.327306285 5.2413198 -0.9399693 2 3 -0.304987351 2.34211924 0.7129281 -0.304987351 2.4171192 1.0629281 2 4 0.008687235 -0.79364089 3.0361422 0.008687235 -0.4936409 3.8861422 3 5 -1.024178973 -0.02791243 -1.2367753 -1.024178973 0.4720876 -0.8117753 2 6 2.335020905 0.39402569 0.5209372 2.335020905 0.8940257 1.4959372 1 Transformed utility function (type: simple): [1] "U_1 = @bsq * $alt1_sq ;U_2 = @bfarm2 * $alt2_farm2 + @bfarm3 * $alt2_farm3 + @bheight2 * $alt2_height2 + @bheight3 * $alt2_height3 + @bredkite * $alt2_redkite + @bdistance * $alt2_distance + @bcost * $alt2_cost ;U_3 = @bfarm2 * $alt3_farm2 + @bfarm3 * $alt3_farm3 + @bheight2 * $alt3_height2 + @bheight3 * $alt3_height3 + @bredkite * $alt3_redkite + @bdistance * $alt3_distance + @bcost * $alt3_cost ;" Initial function value: -439.4449 Initial gradient value: bsq bfarm2 bfarm3 bheight2 bheight3 bredkite -40.333333 2.666667 41.000000 7.000000 25.000000 -195.000000 bdistance bcost 31.666667 159.333333 initial value 439.444915 iter 2 value 428.104260 iter 3 value 426.363954 iter 4 value 408.391042 iter 5 value 407.458626 iter 6 value 406.519628 iter 7 value 405.998253 iter 8 value 404.922429 iter 9 value 404.215771 iter 10 value 404.153617 iter 11 value 403.563490 iter 12 value 403.562752 iter 12 value 403.562752 iter 12 value 403.562752 final value 403.562752 converged Initial function value: -439.4449 Initial gradient value: bsq bfarm2 bfarm3 bheight2 bheight3 bredkite bdistance bcost -41.33333 22.66667 29.00000 2.00000 22.00000 -60.00000 46.41667 210.33333 initial value 439.444915 iter 2 value 432.947684 iter 3 value 430.749776 iter 4 value 415.103850 iter 5 value 411.209990 iter 6 value 410.317262 iter 7 value 409.381720 iter 8 value 409.080596 iter 9 value 408.130033 iter 10 value 407.189159 iter 11 value 406.111730 iter 12 value 406.107584 iter 12 value 406.107581 iter 12 value 406.107581 final value 406.107581 converged Summary table: =================== ==== === ===== ==== ====== ===== ===== ===== ==== ======== ==== \ vars n mean sd median min max range skew kurtosis se =================== ==== === ===== ==== ====== ===== ===== ===== ==== ======== ==== est_bsq 1 2 0.13 0.24 0.13 -0.04 0.30 0.34 0 -2.75 0.17 est_bfarm2 2 2 0.41 0.23 0.41 0.25 0.57 0.32 0 -2.75 0.16 est_bfarm3 3 2 0.82 0.10 0.82 0.75 0.89 0.14 0 -2.75 0.07 est_bheight2 4 2 -0.06 0.12 -0.06 -0.14 0.02 0.17 0 -2.75 0.08 est_bheight3 5 2 0.34 0.14 0.34 0.24 0.44 0.20 0 -2.75 0.10 est_bredkite 6 2 -0.06 0.04 -0.06 -0.09 -0.03 0.06 0 -2.75 0.03 est_bdistance 7 2 0.73 0.35 0.73 0.48 0.98 0.50 0 -2.75 0.25 est_bcost 8 2 -0.05 0.02 -0.05 -0.06 -0.03 0.03 0 -2.75 0.01 rob_pval0_bsq 9 2 0.61 0.39 0.61 0.33 0.88 0.56 0 -2.75 0.28 rob_pval0_bfarm2 10 2 0.08 0.11 0.08 0.00 0.16 0.16 0 -2.75 0.08 rob_pval0_bfarm3 11 2 0.00 0.00 0.00 0.00 0.00 0.00 0 -2.75 0.00 rob_pval0_bheight2 12 2 0.61 0.40 0.61 0.33 0.89 0.56 0 -2.75 0.28 rob_pval0_bheight3 13 2 0.10 0.13 0.10 0.01 0.19 0.19 0 -2.75 0.09 rob_pval0_bredkite 14 2 0.04 0.05 0.04 0.00 0.08 0.08 0 -2.75 0.04 rob_pval0_bdistance 15 2 0.00 0.01 0.00 0.00 0.01 0.01 0 -2.75 0.00 rob_pval0_bcost 16 2 0.12 0.13 0.12 0.03 0.21 0.19 0 -2.75 0.09 =================== ==== === ===== ==== ====== ===== ===== ===== ==== ======== ==== Power results: FALSE 100 total time for simulation and estimation: 4.724 sec elapsed $tic elapsed 61.332 $toc elapsed 66.056 $msg [1] "total time for simulation and estimation" $callback_msg [1] "total time for simulation and estimation: 4.724 sec elapsed" Trying tidyr::pivot_longer for reshaping... Attaching package: 'rlang' The following object is masked from 'package:formula.tools': env No preprocess function provided. Proceeding without additional preprocessing. dataset preprossed_data exists: FALSE decisiongroups exists: FALSE data has been created First few observations of the dataset ID Choice_situation alt1_sq alt2_farm2 alt2_farm3 alt2_height2 alt2_height3 1 1 14 1 0 1 1 0 2 1 17 1 1 0 0 1 3 1 26 1 1 0 0 0 4 1 64 1 1 0 1 0 5 1 72 1 0 0 0 1 6 1 75 1 0 0 0 1 alt2_redkite alt2_distance alt2_cost alt3_farm2 alt3_farm3 alt3_height2 1 -2.5 1.00 7 1 0 0 2 5.0 0.25 8 0 1 1 3 -2.5 0.00 6 0 1 1 4 -2.5 0.25 9 0 1 0 5 -5.0 0.00 5 1 0 0 6 0.0 1.00 10 0 1 1 alt3_height3 alt3_redkite alt3_distance alt3_cost Block group V_1 V_2 V_3 1 0 2.5 0.25 4 1 1 0 1.025 0.050 2 0 2.5 0.25 10 1 1 0 0.225 0.250 3 0 5.0 0.00 3 1 1 0 0.075 0.350 4 1 5.0 0.50 3 1 1 0 0.300 0.850 5 0 2.5 1.00 4 1 1 0 0.500 0.425 6 0 -5.0 0.25 3 1 1 0 0.500 0.975 e_1 e_2 e_3 U_1 U_2 U_3 1 -0.916850205 0.2436800 -0.04063688 -0.916850205 1.26868002 0.009363121 2 2.535410023 -0.2823089 3.29178650 2.535410023 -0.05730887 3.541786505 3 -0.336336699 -0.1260977 -0.55671052 -0.336336699 -0.05109765 -0.206710520 4 -0.004010724 -0.3552747 -0.43508996 -0.004010724 -0.05527468 0.414910041 5 0.831998860 -0.1254224 10.34572980 0.831998860 0.37457758 10.770729800 6 1.480537535 1.8315992 -0.80173196 1.480537535 2.33159921 0.173268039 CHOICE 1 2 2 3 3 2 4 3 5 3 6 2 No preprocess function provided. Proceeding without additional preprocessing. dataset preprossed_data exists: FALSE decisiongroups exists: FALSE data has been created First few observations of the dataset ID Choice_situation alt1_sq alt2_farm2 alt2_farm3 alt2_height2 alt2_height3 1 1 14 1 0 1 1 0 2 1 17 1 1 0 0 1 3 1 26 1 1 0 0 0 4 1 64 1 1 0 1 0 5 1 72 1 0 0 0 1 6 1 75 1 0 0 0 1 alt2_redkite alt2_distance alt2_cost alt3_farm2 alt3_farm3 alt3_height2 1 -2.5 1.00 7 1 0 0 2 5.0 0.25 8 0 1 1 3 -2.5 0.00 6 0 1 1 4 -2.5 0.25 9 0 1 0 5 -5.0 0.00 5 1 0 0 6 0.0 1.00 10 0 1 1 alt3_height3 alt3_redkite alt3_distance alt3_cost Block group V_1 V_2 V_3 1 0 2.5 0.25 4 1 1 0 1.025 0.050 2 0 2.5 0.25 10 1 1 0 0.225 0.250 3 0 5.0 0.00 3 1 1 0 0.075 0.350 4 1 5.0 0.50 3 1 1 0 0.300 0.850 5 0 2.5 1.00 4 1 1 0 0.500 0.425 6 0 -5.0 0.25 3 1 1 0 0.500 0.975 e_1 e_2 e_3 U_1 U_2 U_3 CHOICE 1 -0.2389145 1.7724681 4.4821549 -0.2389145 2.7974681 4.5321549 3 2 -0.4547372 -0.6604048 3.2457875 -0.4547372 -0.4354048 3.4957875 3 3 0.1562904 0.1637181 0.1819604 0.1562904 0.2387181 0.5319604 3 4 1.6459510 0.8125847 -0.6681968 1.6459510 1.1125847 0.1818032 1 5 -1.6000830 -0.3147824 2.5993564 -1.6000830 0.1852176 3.0243564 3 6 -0.5995604 -0.6799862 3.0013991 -0.5995604 -0.1799862 3.9763991 3 No preprocess function provided. Proceeding without additional preprocessing. dataset preprossed_data exists: FALSE decisiongroups exists: FALSE data has been created First few observations of the dataset ID Choice_situation alt1_sq alt2_farm2 alt2_farm3 alt2_height2 alt2_height3 1 1 14 1 0 1 1 0 2 1 17 1 1 0 0 1 3 1 26 1 1 0 0 0 4 1 64 1 1 0 1 0 5 1 72 1 0 0 0 1 6 1 75 1 0 0 0 1 alt2_redkite alt2_distance alt2_cost alt3_farm2 alt3_farm3 alt3_height2 1 -2.5 1.00 7 1 0 0 2 5.0 0.25 8 0 1 1 3 -2.5 0.00 6 0 1 1 4 -2.5 0.25 9 0 1 0 5 -5.0 0.00 5 1 0 0 6 0.0 1.00 10 0 1 1 alt3_height3 alt3_redkite alt3_distance alt3_cost Block group V_1 V_2 V_3 1 0 2.5 0.25 4 1 1 0 1.025 0.050 2 0 2.5 0.25 10 1 1 0 0.225 0.250 3 0 5.0 0.00 3 1 1 0 0.075 0.350 4 1 5.0 0.50 3 1 1 0 0.300 0.850 5 0 2.5 1.00 4 1 1 0 0.500 0.425 6 0 -5.0 0.25 3 1 1 0 0.500 0.975 e_1 e_2 e_3 U_1 U_2 U_3 CHOICE 1 -1.0859712 0.5355647 2.6503363 -1.0859712 1.5605647 2.70033632 3 2 0.5041186 -1.1909340 -0.1995641 0.5041186 -0.9659340 0.05043594 1 3 1.4776004 0.4294723 0.4423244 1.4776004 0.5044723 0.79232440 1 4 0.7702448 1.4010221 0.2645433 0.7702448 1.7010221 1.11454334 2 5 0.2266859 0.8015626 -0.4617708 0.2266859 1.3015626 -0.03677078 2 6 -0.4269866 -1.0765119 -0.7087961 -0.4269866 -0.5765119 0.26620389 3 No preprocess function provided. Proceeding without additional preprocessing. dataset preprossed_data exists: FALSE decisiongroups exists: FALSE data has been created First few observations of the dataset ID price quality group V_1 V_2 e_1 e_2 U_1 U_2 1 1 10 1 1 -8 0 -0.35340345 3.17208222 -8.353403 3.17208222 2 1 20 2 1 -16 0 0.20291416 4.46064963 -15.797086 4.46064963 3 2 10 1 1 -8 0 -0.18312219 0.90720145 -8.183122 0.90720145 4 2 20 2 1 -16 0 0.05591159 1.97616791 -15.944088 1.97616791 5 3 10 1 1 -8 0 -0.75957473 -0.01890643 -8.759575 -0.01890643 6 3 20 2 1 -16 0 0.34116893 -0.26002551 -15.658831 -0.26002551 CHOICE 1 2 2 2 3 2 4 2 5 2 6 2 No preprocess function provided. Proceeding without additional preprocessing. dataset preprossed_data exists: FALSE decisiongroups exists: FALSE data has been created First few observations of the dataset ID price quality group V_1 V_2 e_1 e_2 U_1 U_2 1 1 10 1 1 -8 0 0.7276158 0.02194412 -7.272384 0.02194412 2 1 20 2 1 -16 0 -0.7634077 0.36185622 -16.763408 0.36185622 3 2 10 1 1 -8 0 1.2964861 -0.50210169 -6.703514 -0.50210169 4 2 20 2 1 -16 0 -0.3674067 0.07907622 -16.367407 0.07907622 5 3 10 1 1 -8 0 0.5000695 0.02123252 -7.499931 0.02123252 6 3 20 2 1 -16 0 0.8437785 2.46023369 -15.156221 2.46023369 CHOICE 1 2 2 2 3 2 4 2 5 2 6 2 Preprocess function has been executed. dataset preprossed_data exists: TRUE decisiongroups exists: FALSE data has been created First few observations of the dataset ID price quality extra group V_1 V_2 e_1 e_2 U_1 1 1 10 1 99 1 -8 0 0.4508202 0.5263887 -7.549180 2 2 20 2 NA 1 -16 0 0.2316247 -1.3635191 -15.768375 3 3 10 1 NA 1 -8 0 0.7610967 -0.9229218 -7.238903 4 4 20 2 NA 1 -16 0 7.2008061 -0.8090377 -8.799194 5 5 10 1 NA 1 -8 0 1.4483780 -0.7722009 -6.551622 6 6 20 2 NA 1 -16 0 -0.5915992 0.4644646 -16.591599 U_2 CHOICE 1 0.5263887 2 2 -1.3635191 2 3 -0.9229218 2 4 -0.8090377 2 5 -0.7722009 2 6 0.4644646 2 No preprocess function provided. Proceeding without additional preprocessing. dataset preprossed_data exists: FALSE decisiongroups exists: FALSE data has been created First few observations of the dataset ID price quality group V_1 V_2 e_1 e_2 U_1 U_2 1 1 30 1 1 -28 0 0.5137246 0.07582465 -27.48628 0.07582465 2 1 60 2 1 -56 0 1.4090331 0.63032739 -54.59097 0.63032739 3 2 30 1 1 -28 0 0.5599352 -0.15469602 -27.44006 -0.15469602 4 2 60 2 1 -56 0 -0.5637795 -0.30462601 -56.56378 -0.30462601 5 3 30 1 1 -28 0 1.1402039 2.25598897 -26.85980 2.25598897 6 3 60 2 1 -56 0 0.4980636 4.09740650 -55.50194 4.09740650 CHOICE 1 2 2 2 3 2 4 2 5 2 6 2 No preprocess function provided. Proceeding without additional preprocessing. dataset preprossed_data exists: FALSE decisiongroups exists: TRUE Group counts: 1 2 5 5 data has been created First few observations of the dataset ID price quality group V_1 V_2 e_1 e_2 U_1 U_2 1 1 10 1 1 -8 0 -0.1433133 3.0529421 -8.143313 3.0529421 2 2 20 2 1 -16 0 2.9056360 0.6036609 -13.094364 0.6036609 3 3 10 1 1 -8 0 3.4981789 -0.5362750 -4.501821 -0.5362750 4 4 20 2 1 -16 0 0.1540450 -0.5041709 -15.845955 -0.5041709 5 5 10 1 1 -8 0 -1.0766575 -0.6678167 -9.076657 -0.6678167 6 6 20 2 2 -14 0 2.3479694 -1.0096232 -11.652031 -1.0096232 CHOICE 1 2 2 2 3 2 4 2 5 2 6 2 No preprocess function provided. Proceeding without additional preprocessing. dataset preprossed_data exists: FALSE decisiongroups exists: TRUE Group counts: 1 2 5 5 data has been created First few observations of the dataset ID price quality group V_1 V_2 e_1 e_2 U_1 U_2 1 1 10 1 1 -8 0 -0.5752063 0.07077412 -8.575206 0.07077412 2 2 20 2 1 -16 0 -0.3032742 -1.09806637 -16.303274 -1.09806637 3 3 10 1 1 -8 0 -0.4345868 1.73677796 -8.434587 1.73677796 4 4 20 2 1 -16 0 1.6307008 3.80148488 -14.369299 3.80148488 5 5 10 1 1 -8 0 -0.7351926 -0.18865626 -8.735193 -0.18865626 6 6 20 2 2 -12 0 -0.2691585 2.00870412 -12.269159 2.00870412 CHOICE 1 2 2 2 3 2 4 2 5 2 6 2 No preprocess function provided. Proceeding without additional preprocessing. No preprocess function provided. Proceeding without additional preprocessing. [ FAIL 1 | WARN 0 | SKIP 0 | PASS 111 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-sim_all.R:48:5'): seed setting makes code reproducible ───────── <purrr_error_indexed/rlang_error/error/condition> Error in `purrr::map(designfile, sim_choice, no_sim = nosim, respondents = resps, designtype = designtype, destype = destype, u = u, bcoeff = bcoeff, decisiongroups = decisiongroups, manipulations = manipulations, estimate = estimate, chunks = chunks, utility_transform_type = utility_transform_type, mode = mode, preprocess_function = preprocess_function, savefile = NULL)`: i In index: 1. Caused by error in `serverSocket()`: ! creation of server socket failed: port 11585 cannot be opened Backtrace: ▆ 1. ├─simulateDCE::sim_all(...) at test-sim_all.R:48:5 2. │ ├─... %>% stats::setNames(designname) 3. │ └─purrr::map(...) 4. │ └─purrr:::map_("list", .x, .f, ..., .progress = .progress) 5. │ ├─purrr:::with_indexed_errors(...) 6. │ │ └─base::withCallingHandlers(...) 7. │ ├─purrr:::call_with_cleanup(...) 8. │ └─simulateDCE (local) .f(.x[[i]], ...) 9. │ └─1:no_sim %>% ... 10. ├─stats::setNames(., designname) 11. ├─simulateDCE (local) switchmap(...) 12. │ └─future::plan("multisession") 13. │ └─future (local) plan_set(...) 14. │ └─future:::plan_init(stack[[1]], debug = debug) 15. │ └─future:::makeFutureBackend(evaluator, debug = debug) 16. │ └─base::do.call(factory, args = args, envir = envir) 17. ├─future (local) `<fn>`(...) 18. │ └─future::ClusterFutureBackend(...) 19. │ └─clusterRegistry$startCluster(...) 20. │ └─future (local) makeCluster(workers, ...) 21. │ ├─base::do.call(makeClusterPSOCK, args = args, quote = TRUE) 22. │ └─parallelly (local) `<fn>`(base::quote(2L), rscript_libs = base::quote(`<chr>`)) 23. │ └─base::serverSocket(port = port) 24. └─base::.handleSimpleError(...) 25. └─purrr (local) h(simpleError(msg, call)) 26. └─cli::cli_abort(...) 27. └─rlang::abort(...) [ FAIL 1 | WARN 0 | SKIP 0 | PASS 111 ] Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-debian-clang