R Under development (unstable) (2024-05-20 r86569 ucrt) -- "Unsuffered Consequences" Copyright (C) 2024 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > library(testthat) > library(COINr) > > test_check("COINr") Written data set to .$Data$Denominated iData checked and OK. iMeta checked and OK. Written data set to .$Data$Raw Written data set to .$Data$test1 Written data set to .$Data$Imputed Written data set to .$Data$test1 (overwritten existing data set) Written data set to .$Data$Imputed Written data set to .$Data$Imputed Written data set to .$Data$Imputed Written data set to .$Data$Imputed Written data set to .$Data$Imputed Written data set to .$Data$Imputed Written data set to .$Data$Imputed Written data set to .$Data$Imputed Written data set to .$Data$Imputed Written data set to .$Data$Imputed Written data set to .$Data$Imputed iData checked and OK. iMeta checked and OK. Written data set to .$Data$Raw Written data set to .$Data$Imputed Written data set to .$Data$Imputed Weights written to .$Meta$Weights$test1 Written data set to .$Data$test1 Written data set to .$Data$Aggregated Written data set to .$Data$Aggregated Written data set to .$Data$Aggregated Written data set to .$Data$Aggregated Written data set to .$Data$Aggregated Written data set to .$Data$Aggregated Written data set to .$Data$Aggregated No weights specified for geometric mean, using equal weights. No weights specified for geometric mean, using equal weights. No weights specified for geometric mean, using equal weights. No weights specified, using equal weights. No weights specified for outranking matrix, using equal weights. No weights specified for outranking matrix, using equal weights. No weights specified for outranking matrix, using equal weights. No weights specified for outranking matrix, using equal weights. No weights specified for outranking matrix, using equal weights. iData checked and OK. iMeta checked and OK. Written data set to .$Data$Raw Weights received and thrown away: 1, 1 Written data set to .$Data$Aggregated Weights received and thrown away: 1, 1 Written data set to .$Data$Aggregated (overwritten existing data set) iData checked and OK. iMeta checked and OK. Written data set to .$Data$Raw Written data set to .$Data$Aggregated Iteration 1 of 8 Iteration 2 of 8 Iteration 3 of 8 Iteration 4 of 8 Iteration 5 of 8 Iteration 6 of 8 Iteration 7 of 8 Iteration 8 of 8 Iteration 1 of 2 Iteration 2 of 2 iData checked and OK. iMeta checked and OK. Written data set to .$Data$Raw Written data set to .$Data$Custom iData checked and OK. iMeta checked and OK. Written data set to .$Data$Raw Written data set to .$Data$Raw Written data set to .$Data$Raw Written data set to .$Data$Raw Written data set to .$Data$Raw Written data set to .$Data$Custom Written data set to .$Data$Custom Written data set to .$Data$Custom Written data set to .$Data$Custom Written data set to .$Data$Custom Written data set to .$Data$Normalised Normalisation parameters retrieved from iMeta but 'dist2targ_cap_max' is missing - it is assumed as FALSE. It is recommended to include this parameter as an extra column in iMeta. Written data set to .$Data$Normalised Written data set to .$Data$Normalised Written data set to .$Data$Normalised Written data set to .$Data$Normalised iData checked and OK. iMeta checked and OK. Written data set to .$Data$Raw iData checked and OK. iMeta checked and OK. Written data set to .$Data$Raw Written data set to .$Data$Normalised Written data set to .$Data$Normalised Written data set to .$Data$Normalised Written data set to .$Data$Normalised Written data set to .$Data$Normalised Written data set to .$Data$Normalised Written data set to .$Data$Treated Written data set to .$Data$Treated Written data set to .$Data$Treated Written data set to .$Data$Treated Written data set to .$Data$Treated Written data set to .$Data$Treated Written data set to .$Data$Treated Written data set to .$Data$Treated Written data set to .$Data$Treated Written data set to .$Data$Treated Written data set to .$Data$Treated Written data set to .$Data$Treated iData checked and OK. iMeta checked and OK. Written data set to .$Data$Raw Written data set to .$Data$Denominated Written data set to .$Data$Imputed Written data set to .$Data$Screened Written data set to .$Data$Treated Written data set to .$Data$Normalised Written data set to .$Data$Aggregated coin has been regenerated using new specs. coin has been regenerated using new specs. Rep 1 of 80 ... 1.2% complete Rep 2 of 80 ... 2.5% complete Rep 3 of 80 ... 3.8% complete Rep 4 of 80 ... 5% complete Rep 5 of 80 ... 6.2% complete Rep 6 of 80 ... 7.5% complete Rep 7 of 80 ... 8.8% complete Rep 8 of 80 ... 10% complete Rep 9 of 80 ... 11.2% complete Rep 10 of 80 ... 12.5% complete Rep 11 of 80 ... 13.8% complete Rep 12 of 80 ... 15% complete Rep 13 of 80 ... 16.2% complete Rep 14 of 80 ... 17.5% complete Rep 15 of 80 ... 18.8% complete Rep 16 of 80 ... 20% complete Rep 17 of 80 ... 21.2% complete Rep 18 of 80 ... 22.5% complete Rep 19 of 80 ... 23.8% complete Rep 20 of 80 ... 25% complete Rep 21 of 80 ... 26.2% complete Rep 22 of 80 ... 27.5% complete Rep 23 of 80 ... 28.8% complete Rep 24 of 80 ... 30% complete Rep 25 of 80 ... 31.2% complete Rep 26 of 80 ... 32.5% complete Rep 27 of 80 ... 33.8% complete Rep 28 of 80 ... 35% complete Rep 29 of 80 ... 36.2% complete Rep 30 of 80 ... 37.5% complete Rep 31 of 80 ... 38.8% complete Rep 32 of 80 ... 40% complete Rep 33 of 80 ... 41.2% complete Rep 34 of 80 ... 42.5% complete Rep 35 of 80 ... 43.8% complete Rep 36 of 80 ... 45% complete Rep 37 of 80 ... 46.2% complete Rep 38 of 80 ... 47.5% complete Rep 39 of 80 ... 48.8% complete Rep 40 of 80 ... 50% complete Rep 41 of 80 ... 51.2% complete Rep 42 of 80 ... 52.5% complete Rep 43 of 80 ... 53.8% complete Rep 44 of 80 ... 55% complete Rep 45 of 80 ... 56.2% complete Rep 46 of 80 ... 57.5% complete Rep 47 of 80 ... 58.8% complete Rep 48 of 80 ... 60% complete Rep 49 of 80 ... 61.2% complete Rep 50 of 80 ... 62.5% complete Rep 51 of 80 ... 63.8% complete Rep 52 of 80 ... 65% complete Rep 53 of 80 ... 66.2% complete Rep 54 of 80 ... 67.5% complete Rep 55 of 80 ... 68.8% complete Rep 56 of 80 ... 70% complete Rep 57 of 80 ... 71.2% complete Rep 58 of 80 ... 72.5% complete Rep 59 of 80 ... 73.8% complete Rep 60 of 80 ... 75% complete Rep 61 of 80 ... 76.2% complete Rep 62 of 80 ... 77.5% complete Rep 63 of 80 ... 78.8% complete Rep 64 of 80 ... 80% complete Rep 65 of 80 ... 81.2% complete Rep 66 of 80 ... 82.5% complete Rep 67 of 80 ... 83.8% complete Rep 68 of 80 ... 85% complete Rep 69 of 80 ... 86.2% complete Rep 70 of 80 ... 87.5% complete Rep 71 of 80 ... 88.8% complete Rep 72 of 80 ... 90% complete Rep 73 of 80 ... 91.2% complete Rep 74 of 80 ... 92.5% complete Rep 75 of 80 ... 93.8% complete Rep 76 of 80 ... 95% complete Rep 77 of 80 ... 96.2% complete Rep 78 of 80 ... 97.5% complete Rep 79 of 80 ... 98.8% complete Rep 80 of 80 ... 100% complete Time elapsed = 18.57s, average 0.23s/rep. Written data set to .$Data$Treated Written data set to .$Data$Treated Written data set to .$Data$Treated Written data set to .$Data$Treated Written data set to .$Data$Treated Written data set to .$Data$Treated iterating... objective function = -7.11287670895252 iterating... objective function = -6.75731482891423 iterating... objective function = -7.5563175412706 iterating... objective function = -8.21181051402935 iterating... objective function = -10.0802172796095 iterating... objective function = -13.3043247136273 iterating... objective function = -8.7011048855954 iterating... objective function = -7.93721550859392 iterating... objective function = -9.92111795779074 iterating... objective function = -8.57337082557942 iterating... objective function = -13.0490317878554 iterating... objective function = -10.1205749624737 iterating... objective function = -11.4698196057753 iterating... objective function = -11.5046209642509 iterating... objective function = -12.938292451273 Optimisation successful! iterating... objective function = -7.11287670895252 iterating... objective function = -6.75731482891423 iterating... objective function = -7.5563175412706 iterating... objective function = -8.21181051402935 iterating... objective function = -10.0802172796095 iterating... objective function = -13.3043247136273 iterating... objective function = -8.7011048855954 iterating... objective function = -7.93721550859392 iterating... objective function = -9.92111795779074 iterating... objective function = -8.57337082557942 iterating... objective function = -13.0490317878554 iterating... objective function = -10.1205749624737 iterating... objective function = -11.4698196057753 iterating... objective function = -11.5046209642509 iterating... objective function = -12.938292451273 Optimisation successful! Optimised weights written to .$Meta$Weights$OptLev3 iterating... objective function = -3.759096332587 iterating... objective function = -3.61647190777227 iterating... objective function = -3.83682243993266 iterating... objective function = -4.02581225334101 iterating... objective function = -4.31926991080668 iterating... objective function = -4.39399203379456 iterating... objective function = -4.83586143088767 iterating... objective function = -6.32897121556552 iterating... objective function = -6.37571701168245 iterating... objective function = -5.36020675343839 iterating... objective function = -8.68642335313206 iterating... objective function = -2.70800864343444 iterating... objective function = -6.45164946048128 iterating... objective function = -5.79741697890662 iterating... objective function = -9.03725649675853 iterating... objective function = -5.11481037065543 iterating... objective function = -8.35731580506902 iterating... objective function = -6.30806329552521 iterating... objective function = -12.3632363858013 iterating... objective function = -10.737268154582 iterating... objective function = -17.344109056819 iterating... objective function = -8.77603054325881 iterating... objective function = -10.6832759022729 iterating... objective function = -9.9618401277732 iterating... objective function = -12.635718291062 iterating... objective function = -11.11464921122 iterating... objective function = -14.7011384889182 iterating... objective function = -11.8937019999612 iterating... objective function = -14.5383512870581 iterating... objective function = -12.9883267777293 iterating... objective function = -17.6942801212703 iterating... objective function = -14.7345052863273 iterating... objective function = -16.1758432029968 iterating... objective function = -16.0351775830953 iterating... objective function = -17.6563848931035 iterating... objective function = -15.3730207408058 iterating... objective function = -22.5418558543724 iterating... objective function = -22.2980535376607 iterating... objective function = -21.1462095072171 iterating... objective function = -17.3408196642016 iterating... objective function = -19.2762357895733 iterating... objective function = -18.5767247189331 iterating... objective function = -21.1275375557289 iterating... objective function = -19.6900727533677 iterating... objective function = -24.0014999100285 iterating... objective function = -23.4874722443233 iterating... objective function = -25.9526847200171 iterating... objective function = -21.5278732806827 iterating... objective function = -24.7386600396233 iterating... objective function = -23.4400951966578 iterating... objective function = -25.7261257524167 iterating... objective function = -23.2022507559489 iterating... objective function = -27.8484644202102 iterating... objective function = -27.293475960994 iterating... objective function = -30.5085945193536 iterating... objective function = -25.156581565401 iterating... objective function = -27.9023301864023 iterating... objective function = -26.7720189689965 iterating... objective function = -30.1078506798146 iterating... objective function = -26.957543987797 iterating... objective function = -30.0070928785173 iterating... objective function = -27.9990129922674 iterating... objective function = -35.3917454188815 iterating... objective function = -32.8495655144283 iterating... objective function = -35.7376125065935 iterating... objective function = -30.4818077769279 iterating... objective function = -31.9089980010622 iterating... objective function = -31.8542777132457 iterating... objective function = -33.3235185070447 iterating... objective function = -33.2134849112026 iterating... objective function = -34.7673377055617 iterating... objective function = -34.546816819748 iterating... objective function = -36.2738163911537 iterating... objective function = -33.5703094292412 iterating... objective function = -39.4866621217316 iterating... objective function = 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-53.5559694982983 iterating... objective function = -57.1441537379004 iterating... objective function = -55.5650288249448 iterating... objective function = -57.3463732519917 iterating... objective function = -55.2021519821634 iterating... objective function = -61.9605344343588 iterating... objective function = -59.8621560325202 iterating... objective function = -63.9535267609827 iterating... objective function = -57.6072622555656 iterating... objective function = -59.2198195215566 iterating... objective function = -58.9232565004487 iterating... objective function = -60.772702306163 iterating... objective function = -60.1775758838424 iterating... objective function = -62.5395905601578 iterating... objective function = -60.4612856350118 iterating... objective function = -64.9908958783966 iterating... objective function = -62.9901071092349 iterating... objective function = -64.6298958636467 iterating... objective function = -62.2823196451598 iterating... objective function = -67.4821365922462 iterating... objective function = -66.3914724734273 iterating... objective function = -70.3545456497682 iterating... objective function = -64.3711104896528 iterating... objective function = -66.7913359125674 iterating... objective function = -65.4956330462256 iterating... objective function = -69.3147180559945 iterating... objective function = -67.138325281207 iterating... objective function = -68.9184093231724 iterating... objective function = -68.420545129374 iterating... objective function = -70.7010124171144 iterating... objective function = -67.8659625252509 iterating... objective function = -72.55731040748 iterating... objective function = -71.6017989624526 iterating... objective function = -74.1667483199141 iterating... objective function = -69.8068394904939 iterating... objective function = -73.4736011393542 iterating... objective function = -71.4421688168607 iterating... objective function = -74.1667483199141 iterating... objective function = -70.9478724950459 iterating... objective function = -74.1667483199141 Optimisation successful! iData checked and OK. iMeta checked and OK. Written data set to .$Data$Raw iData checked and OK. iMeta checked and OK. Written data set to .$Data$Raw Written data set to .$Data$Normalised [ FAIL 0 | WARN 0 | SKIP 3 | PASS 409 ] ══ Skipped tests (3) ═══════════════════════════════════════════════════════════ • On CRAN (2): 'test-methods_added.R:6:3', 'test-methods_added.R:15:3' • empty test (1): 'test-convert.R:1:1' [ FAIL 0 | WARN 0 | SKIP 3 | PASS 409 ] > > proc.time() user system elapsed 46.57 1.31 47.95