R Under development (unstable) (2024-10-11 r87227 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(ggeffects) > test_check("ggeffects") Model has log transformed response. Predictions are on transformed scale. Data points may overlap. Use the `jitter` argument to add some amount of random variation to the location of data points and avoid overplotting. (Intercept) tensionM tensionH 36.38889 -10.00000 -14.72222 Not all rows are shown in the output. Use `print(..., n = Inf)` to show all rows. Not all rows are shown in the output. Use `print(..., n = Inf)` to show all rows. NOTE: Results may be misleading due to involvement in interactions NOTE: Results may be misleading due to involvement in interactions # weights: 16 (9 variable) initial value 1149.238025 iter 10 value 1015.404427 final value 1013.443395 converged Re-fitting to get Hessian Data points may overlap. Use the `jitter` argument to add some amount of random variation to the location of data points and avoid overplotting. Data points may overlap. Use the `jitter` argument to add some amount of random variation to the location of data points and avoid overplotting. Data points may overlap. Use the `jitter` argument to add some amount of random variation to the location of data points and avoid overplotting. Data points may overlap. Use the `jitter` argument to add some amount of random variation to the location of data points and avoid overplotting. Re-fitting to get Hessian Re-fitting to get Hessian Could not compute variance-covariance matrix of predictions. No confidence intervals are returned. Model contains splines or polynomial terms. Consider using `terms="mined [all]"` to get smooth plots. See also package-vignette 'Adjusted Predictions at Specific Values'. Model contains splines or polynomial terms. Consider using `terms="cover [all]"` to get smooth plots. See also package-vignette 'Adjusted Predictions at Specific Values'. Model contains splines or polynomial terms. Consider using `terms="mined [all]"` to get smooth plots. See also package-vignette 'Adjusted Predictions at Specific Values'. Model contains splines or polynomial terms. Consider using `terms="cover [all]"` to get smooth plots. See also package-vignette 'Adjusted Predictions at Specific Values'. Can't compute adjusted predictions, `effects::Effect()` returned an error. Reason: Invalid operation on a survival time You may try `ggpredict()` or `ggemmeans()`. Can't compute adjusted predictions, `effects::Effect()` returned an error. Reason: non-conformable arguments You may try `ggpredict()` or `ggemmeans()`. [ FAIL 0 | WARN 0 | SKIP 78 | PASS 675 ] ══ Skipped tests (78) ══════════════════════════════════════════════════════════ • On CRAN (75): 'test-MCMCglmm.R:1:1', 'test-MixMod.R:1:1', 'test-avg_predictions.R:24:3', 'test-avg_predictions.R:79:5', 'test-backtransform_response.R:76:5', 'test-bias_correction.R:1:1', 'test-brms-categ-cum.R:1:1', 'test-brms-monotonic.R:1:1', 'test-brms-ppd.R:1:1', 'test-brms-trial.R:1:1', 'test-clean_vars.R:1:1', 'test-clm.R:1:1', 'test-clm2.R:1:1', 'test-clmm.R:1:1', 'test-correct_se_sorting.R:1:1', 'test-decimals.R:1:1', 'test-fixest.R:1:1', 'test-focal_only_random.R:1:1', 'test-format.R:1:1', 'test-gamlss.R:1:1', 'test-gamm4.R:1:1', 'test-glmer.R:2:1', 'test-glmmTMB.R:1:1', 'test-interval_re.R:1:1', 'test-ivreg.R:1:1', 'test-johnson_neyman_numcat.R:1:1', 'test-list_terms.R:36:3', 'test-lmer.R:1:1', 'test-mgcv.R:1:1', 'test-plot-ordinal-latent.R:1:1', 'test-plot.R:69:1', 'test-polr.R:21:7', 'test-polr.R:60:7', 'test-pool_comparisons.R:1:1', 'test-print.R:1:1', 'test-print_digits.R:1:1', 'test-print_md.R:1:1', 'test-print_subsets.R:7:3', 'test-print_subsets.R:12:3', 'test-print_test_predictions-ordinal.R:14:3', 'test-print_test_predictions.R:20:3', 'test-print_test_predictions.R:24:3', 'test-print_test_predictions.R:28:3', 'test-print_test_predictions.R:32:3', 'test-print_test_predictions.R:36:3', 'test-print_test_predictions.R:40:3', 'test-print_test_predictions.R:44:3', 'test-print_test_predictions.R:49:3', 'test-print_test_predictions.R:53:3', 'test-print_test_predictions.R:57:3', 'test-print_test_predictions.R:61:3', 'test-print_test_predictions.R:65:3', 'test-print_test_predictions.R:172:3', 'test-print_test_predictions.R:231:3', 'test-print_test_predictions.R:240:3', 'test-print_test_predictions.R:249:3', 'test-print_test_predictions.R:266:3', 'test-print_zero_inflation.R:1:1', 'test-resid_over_grid.R:33:5', 'test-rstanarm-ppd.R:1:1', 'test-rstanarm.R:1:1', 'test-sdmTMB.R:1:1', 'test-simulate.R:1:1', 'test-test_predictions-margin.R:1:1', 'test-test_predictions-mixed.R:1:1', 'test-test_predictions_emmeans.R:133:3', 'test-test_predictions_emmeans.R:168:3', 'test-test_predictions_ggeffects.R:140:3', 'test-test_predictions_ggeffects.R:172:3', 'test-test_predictions_ggeffects.R:181:3', 'test-test_predictions_ggeffects.R:224:5', 'test-vcov.R:1:1', 'test-vglm.R:1:1', 'test-zeroinfl.R:27:3', 'test-zi_prob.R:1:1' • empty test (3): 'test-plot.R:8:1', 'test-polr.R:136:5', 'test-polr.R:142:5' [ FAIL 0 | WARN 0 | SKIP 78 | PASS 675 ] Deleting unused snapshots: • backtransform_response/show-data-back-transformed-true.svg • brms-monotonic/plot-brms-monotonic.svg • plot-ordinal-latent/clm-latent-false.svg • plot-ordinal-latent/clm-latent-true.svg • plot-ordinal-latent/polr-latent-false.svg • plot-ordinal-latent/polr-latent-true.svg • plot/collapse-random-effects-works-again.svg • plot/colored-data-points-with-special-focal-terms.svg • plot/simple-plot-bw.svg • plot/simple-plot-categorical-bw.svg • plot/simple-plot-categorical-ci-bands-as-dots.svg • plot/simple-plot-categorical-grey-scale.svg • plot/simple-plot-categorical-no-ci.svg • plot/simple-plot-categorical-show-data-jitter.svg • plot/simple-plot-categorical-show-data.svg • plot/simple-plot-categorical.svg • plot/simple-plot-ci-bands-as-dots.svg • plot/simple-plot-grey-scale.svg • plot/simple-plot-no-ci.svg • plot/simple-plot-show-data-jitter.svg • plot/simple-plot-show-data.svg • plot/simple-plot.svg > > proc.time() user system elapsed 158.68 5.45 164.43