Comments (6)
rempsyc
commented on July 18, 2024
Regressing see to previous release fixes the issue:
# remotes::install_version("see", version = "0.8.0", repos = "http://cran.us.r-project.org")
library(easystats)
#> Warning: package 'easystats' was built under R version 4.2.3
#> # Attaching packages: easystats 0.7.0 (red = needs update)
#> ✔ bayestestR 0.13.1.7 ✔ correlation 0.8.4.9000
#> ✔ datawizard 0.9.0.1 ✔ effectsize 0.8.6.3
#> ✔ insight 0.19.6.7 ✔ modelbased 0.8.6.4
#> ✔ performance 0.10.8.1 ✔ parameters 0.21.3.1
#> ✔ report 0.5.7.13 ✖ see 0.8.0
#>
#> Restart the R-Session and update packages with `easystats::easystats_update()`.
example("check_model", run.donttest = TRUE)
#>
#> chck_m> ## Don't show:
#> chck_m> if (require("lme4")) (if (getRversion() >= "3.4") withAutoprint else force)({ # examplesIf
#> chck_m+ ## End(Don't show)
#> chck_m+ ## No test:
#> chck_m+ m <- lm(mpg ~ wt + cyl + gear + disp, data = mtcars)
#> chck_m+ check_model(m)
#> chck_m+
#> chck_m+ data(sleepstudy, package = "lme4")
#> chck_m+ m <- lme4::lmer(Reaction ~ Days + (Days | Subject), sleepstudy)
#> chck_m+ check_model(m, panel = FALSE)
#> chck_m+ ## End(No test)
#> chck_m+ ## Don't show:
#> chck_m+ }) # examplesIf
#> Loading required package: lme4
#> Warning: package 'lme4' was built under R version 4.2.3
#> Loading required package: Matrix
#> Warning: package 'Matrix' was built under R version 4.2.3
#> > m <- lm(mpg ~ wt + cyl + gear + disp, data = mtcars)
#> > check_model(m)
#> > data(sleepstudy, package = "lme4")
#> > m <- lme4::lmer(Reaction ~ Days + (Days | Subject), sleepstudy)
#> > check_model(m, panel = FALSE)
#>
#> chck_m> ## End(Don't show)
#> chck_m>
#> chck_m>
#> chck_m>
Created on 2023-11-10 with reprex v2.0.2
from performance.
strengejacke
commented on July 18, 2024
Can't reproduce.
library(easystats)
#> # Attaching packages: easystats 0.7.0
#> ✔ bayestestR 0.13.1 ✔ correlation 0.8.4
#> ✔ datawizard 0.9.0 ✔ effectsize 0.8.6
#> ✔ insight 0.19.6 ✔ modelbased 0.8.6
#> ✔ performance 0.10.8 ✔ parameters 0.21.3
#> ✔ report 0.5.7 ✔ see 0.8.1
example("check_model", run.donttest = TRUE)
#>
#> chck_m> ## Don't show:
#> chck_m> if (require("lme4")) (if (getRversion() >= "3.4") withAutoprint else force)({ # examplesIf
#> chck_m+ ## End(Don't show)
#> chck_m+ ## No test:
#> chck_m+ m <- lm(mpg ~ wt + cyl + gear + disp, data = mtcars)
#> chck_m+ check_model(m)
#> chck_m+
#> chck_m+ data(sleepstudy, package = "lme4")
#> chck_m+ m <- lme4::lmer(Reaction ~ Days + (Days | Subject), sleepstudy)
#> chck_m+ check_model(m, panel = FALSE)
#> chck_m+ ## End(No test)
#> chck_m+ ## Don't show:
#> chck_m+ }) # examplesIf
#> Loading required package: lme4
#> Loading required package: Matrix
#> > m <- lm(mpg ~ wt + cyl + gear + disp, data = mtcars)
#> > check_model(m)
#> > data(sleepstudy, package = "lme4")
#> > m <- lme4::lmer(Reaction ~ Days + (Days | Subject), sleepstudy)
#> > check_model(m, panel = FALSE)
#>
#> chck_m> ## End(Don't show)
#> chck_m>
#> chck_m>
#> chck_m>
sessionInfo()
#> R version 4.3.2 (2023-10-31 ucrt)
#> Platform: x86_64-w64-mingw32/x64 (64-bit)
#> Running under: Windows 11 x64 (build 22631)
#>
#> Matrix products: default
#>
#>
#> locale:
#> [1] LC_COLLATE=German_Germany.utf8 LC_CTYPE=German_Germany.utf8
#> [3] LC_MONETARY=German_Germany.utf8 LC_NUMERIC=C
#> [5] LC_TIME=German_Germany.utf8
#>
#> time zone: Europe/Berlin
#> tzcode source: internal
#>
#> attached base packages:
#> [1] stats graphics grDevices utils datasets methods base
#>
#> other attached packages:
#> [1] lme4_1.1-35.1 Matrix_1.6-2 see_0.8.1 report_0.5.7
#> [5] parameters_0.21.3 performance_0.10.8 modelbased_0.8.6 insight_0.19.6
#> [9] effectsize_0.8.6 datawizard_0.9.0 correlation_0.8.4 bayestestR_0.13.1
#> [13] easystats_0.7.0
#>
#> loaded via a namespace (and not attached):
#> [1] tidyselect_1.2.0 farver_2.1.1 dplyr_1.1.3
#> [4] R.utils_2.12.2 bitops_1.0-7 fastmap_1.1.1
#> [7] TH.data_1.1-2 pracma_2.4.2 reprex_2.0.2
#> [10] digest_0.6.33 estimability_1.4.1 lifecycle_1.0.4
#> [13] survival_3.5-7 magrittr_2.0.3 compiler_4.3.2
#> [16] rlang_1.1.2 tools_4.3.2 utf8_1.2.4
#> [19] yaml_2.3.7 knitr_1.45 labeling_0.4.3
#> [22] multcomp_1.4-25 memuse_4.2-3 R.cache_0.16.0
#> [25] withr_2.5.2 purrr_1.0.2 R.oo_1.25.0
#> [28] grid_4.3.2 fansi_1.0.5 opdisDownsampling_0.8.2
#> [31] caTools_1.18.2 xtable_1.8-4 colorspace_2.1-0
#> [34] ggplot2_3.4.4 emmeans_1.8.9 scales_1.2.1
#> [37] iterators_1.0.14 MASS_7.3-60 cli_3.6.1
#> [40] mvtnorm_1.2-3 rmarkdown_2.25 generics_0.1.3
#> [43] twosamples_2.0.1 robustbase_0.99-0 rstudioapi_0.15.0
#> [46] httr_1.4.7 minqa_1.2.6 splines_4.3.2
#> [49] parallel_4.3.2 vctrs_0.6.4 boot_1.3-28.1
#> [52] sandwich_3.0-2 benchmarkme_1.0.8 patchwork_1.1.3
#> [55] ggrepel_0.9.4 foreach_1.5.2 qqplotr_0.0.6
#> [58] glue_1.6.2 benchmarkmeData_1.0.4 DEoptimR_1.1-3
#> [61] nloptr_2.0.3 codetools_0.2-19 gtable_0.3.4
#> [64] munsell_0.5.0 tibble_3.2.1 styler_1.10.2
#> [67] pillar_1.9.0 htmltools_0.5.7 R6_2.5.1
#> [70] doParallel_1.0.17 evaluate_0.23 lattice_0.22-5
#> [73] R.methodsS3_1.8.2 qqconf_1.3.2 Rcpp_1.0.11
#> [76] coda_0.19-4 nlme_3.1-163 mgcv_1.9-0
#> [79] xfun_0.41 fs_1.6.3 zoo_1.8-12
#> [82] pkgconfig_2.0.3
Created on 2023-11-11 with reprex v2.0.2
from performance.
strengejacke
commented on July 18, 2024
library(easystats)
#> # Attaching packages: easystats 0.7.0
#> ✔ bayestestR 0.13.1.7 ✔ correlation 0.8.4.9000
#> ✔ datawizard 0.9.0.1 ✔ effectsize 0.8.6.3
#> ✔ insight 0.19.6.7 ✔ modelbased 0.8.6.4
#> ✔ performance 0.10.8.1 ✔ parameters 0.21.3.1
#> ✔ report 0.5.7.13 ✔ see 0.8.1
example("check_model", run.donttest = TRUE)
#>
#> chck_m> ## Don't show:
#> chck_m> if (require("lme4")) (if (getRversion() >= "3.4") withAutoprint else force)({ # examplesIf
#> chck_m+ ## End(Don't show)
#> chck_m+ ## No test:
#> chck_m+ m <- lm(mpg ~ wt + cyl + gear + disp, data = mtcars)
#> chck_m+ check_model(m)
#> chck_m+
#> chck_m+ data(sleepstudy, package = "lme4")
#> chck_m+ m <- lme4::lmer(Reaction ~ Days + (Days | Subject), sleepstudy)
#> chck_m+ check_model(m, panel = FALSE)
#> chck_m+ ## End(No test)
#> chck_m+ ## Don't show:
#> chck_m+ }) # examplesIf
#> Loading required package: lme4
#> Loading required package: Matrix
#> > m <- lm(mpg ~ wt + cyl + gear + disp, data = mtcars)
#> > check_model(m)
#> > data(sleepstudy, package = "lme4")
#> > m <- lme4::lmer(Reaction ~ Days + (Days | Subject), sleepstudy)
#> > check_model(m, panel = FALSE)
#>
#> chck_m> ## End(Don't show)
#> chck_m>
#> chck_m>
#> chck_m>
sessionInfo()
#> R version 4.3.2 (2023-10-31 ucrt)
#> Platform: x86_64-w64-mingw32/x64 (64-bit)
#> Running under: Windows 11 x64 (build 22631)
#>
#> Matrix products: default
#>
#>
#> locale:
#> [1] LC_COLLATE=German_Germany.utf8 LC_CTYPE=German_Germany.utf8
#> [3] LC_MONETARY=German_Germany.utf8 LC_NUMERIC=C
#> [5] LC_TIME=German_Germany.utf8
#>
#> time zone: Europe/Berlin
#> tzcode source: internal
#>
#> attached base packages:
#> [1] stats graphics grDevices utils datasets methods base
#>
#> other attached packages:
#> [1] lme4_1.1-35.1 Matrix_1.6-2 see_0.8.1
#> [4] report_0.5.7.13 parameters_0.21.3.1 performance_0.10.8.1
#> [7] modelbased_0.8.6.4 insight_0.19.6.7 effectsize_0.8.6.3
#> [10] datawizard_0.9.0.1 correlation_0.8.4.9000 bayestestR_0.13.1.7
#> [13] easystats_0.7.0
#>
#> loaded via a namespace (and not attached):
#> [1] tidyselect_1.2.0 farver_2.1.1 dplyr_1.1.3
#> [4] R.utils_2.12.2 bitops_1.0-7 fastmap_1.1.1
#> [7] TH.data_1.1-2 pracma_2.4.2 reprex_2.0.2
#> [10] digest_0.6.33 estimability_1.4.1 lifecycle_1.0.4
#> [13] survival_3.5-7 magrittr_2.0.3 compiler_4.3.2
#> [16] rlang_1.1.2 tools_4.3.2 utf8_1.2.4
#> [19] yaml_2.3.7 knitr_1.45 labeling_0.4.3
#> [22] multcomp_1.4-25 memuse_4.2-3 R.cache_0.16.0
#> [25] withr_2.5.2 purrr_1.0.2 R.oo_1.25.0
#> [28] grid_4.3.2 fansi_1.0.5 opdisDownsampling_0.8.2
#> [31] caTools_1.18.2 xtable_1.8-4 colorspace_2.1-0
#> [34] ggplot2_3.4.4 emmeans_1.8.9 scales_1.2.1
#> [37] iterators_1.0.14 MASS_7.3-60 cli_3.6.1
#> [40] mvtnorm_1.2-3 rmarkdown_2.25 generics_0.1.3
#> [43] twosamples_2.0.1 robustbase_0.99-0 rstudioapi_0.15.0
#> [46] httr_1.4.7 minqa_1.2.6 splines_4.3.2
#> [49] parallel_4.3.2 vctrs_0.6.4 boot_1.3-28.1
#> [52] sandwich_3.0-2 benchmarkme_1.0.8 patchwork_1.1.3
#> [55] ggrepel_0.9.4 foreach_1.5.2 qqplotr_0.0.6
#> [58] glue_1.6.2 benchmarkmeData_1.0.4 DEoptimR_1.1-3
#> [61] nloptr_2.0.3 codetools_0.2-19 gtable_0.3.4
#> [64] munsell_0.5.0 tibble_3.2.1 styler_1.10.2
#> [67] pillar_1.9.0 htmltools_0.5.7 R6_2.5.1
#> [70] doParallel_1.0.17 evaluate_0.23 lattice_0.22-5
#> [73] R.methodsS3_1.8.2 qqconf_1.3.2 Rcpp_1.0.11
#> [76] coda_0.19-4 nlme_3.1-163 mgcv_1.9-0
#> [79] xfun_0.41 fs_1.6.3 zoo_1.8-12
#> [82] pkgconfig_2.0.3
Created on 2023-11-11 with reprex v2.0.2
from performance.
rempsyc
commented on July 18, 2024
Interesting. I tested on a different computer and it also works. Probably something to do with the computer. I'll check again tomorrow.
from performance.
rempsyc
commented on July 18, 2024
Closing this because it seems specific to work setup, even though I was unable to fix it reinstalling see, easystats, ggplot2. Could be corruption of some related files, not sure.
from performance.
rempsyc
commented on July 18, 2024
Actually I was able to fix it by reinstalling qqplotr from CRAN instead of the development version.
from performance.
Related Issues (20)
- Error and Incomplete Output Using performance::check_collinearity with Cox Models HOT 1
- Normality of Residuals of check_model is abnormal. HOT 2
- Revise compare_models() for Bayesian models HOT 5
- R-squared for glmmTMB (binomial) HOT 9
- check_model() bugged for lmer models *only* when run as part of an RMD chunk HOT 3
- check_predictions() fails when outcome is log-transformed and named like a valid function HOT 2
- Error in `check_model(<glmer>)` HOT 3
- Problems using `r2_nakagawa()` HOT 3
- check_model fails if dependent variable is labelled HOT 5
- Remove unnecessary `tryCatch()` statements targeting `insight::download_model()` HOT 2
- check_collinearity() does not work with orthogonal polynomials HOT 10
- Should check_overdispersion give warning when applied to quasipoisson? HOT 1
- Check for influential observations of GLM w/o numeric variables
- `check_model` not working for `brms::brm` with `Beta()` family HOT 3
- Comparing frequentist and Bayesian models
- 95 CI for rmse HOT 9
- ICC for `beta_family` not accurate HOT 25
- `check_zeroinflation()` not working with glmmTMB? HOT 2
- Confidence intervals for ICC, it seems that none of the `ci_method`s work (neither default, `boot` or `analytical`). HOT 11
- Infinite loop in icc() for some brms models HOT 3
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from performance.