easystats / easystats/performance

contour lines cook's distance

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Bug :bug:
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Description

Dear,
I noticed that the contour lines of the critical Cook's distance function are not changing when the user supplies a new threshold value. The detected outliers in the object and the plot no longer match for different thresholds. The following reprex displays the issue. Can you explain me why that is? Thanks!
Kind regards

library(performance)

model <- lm(disp ~ mpg + hp, data = mtcars)

# default threshold
outliers <- check_outliers(model, method = "cook")
print(outliers)
#> 1 outlier detected: case 31.
#> - Based on the following method and threshold: cook (0.808).
#> - For variable: (Whole model).
plot(outliers)



# increasing the threshold gives no more outliers, but the plot remains the same
outliers2 <- check_outliers(model, method = "cook", threshold = list(cook = 2))
print(outliers2) # this gets adapted based on the new threshold
#> OK: No outliers detected.
#> - Based on the following method and threshold: cook (2).
#> - For variable: (Whole model)
plot(outliers2)  # the contour lines stay the same

Created on 2026-06-22 with reprex v2.1.1

Session info

 
sessioninfo::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#>  setting  value
#>  version  R version 4.6.0 (2026-04-24 ucrt)
#>  os       Windows 11 x64 (build 26200)
#>  system   x86_64, mingw32
#>  ui       RTerm
#>  language (EN)
#>  collate  Dutch_Belgium.utf8
#>  ctype    Dutch_Belgium.utf8
#>  tz       Europe/Brussels
#>  date     2026-06-22
#>  pandoc   3.8.3 @ C:/Program Files/RStudio/resources/app/bin/quarto/bin/tools/ (via rmarkdown)
#>  quarto   1.9.36 @ C:\\PROGRA~1\\RStudio\\RESOUR~1\\app\\bin\\quarto\\bin\\quarto.exe
#> 
#> ─ Packages ───────────────────────────────────────────────────────────────────
#>  package      * version   date (UTC) lib source
#>  cli            3.6.6     2026-04-09 [1] CRAN (R 4.6.0)
#>  curl           7.1.0     2026-04-22 [1] CRAN (R 4.6.0)
#>  datawizard     1.3.1     2026-04-26 [1] CRAN (R 4.6.0)
#>  digest         0.6.39    2025-11-19 [1] CRAN (R 4.6.0)
#>  dplyr          1.2.1     2026-04-03 [1] CRAN (R 4.6.0)
#>  evaluate       1.0.5     2025-08-27 [1] CRAN (R 4.6.0)
#>  farver         2.1.2     2024-05-13 [1] CRAN (R 4.6.0)
#>  fastmap        1.2.0     2024-05-15 [1] CRAN (R 4.6.0)
#>  fs             2.1.0     2026-04-18 [1] CRAN (R 4.6.0)
#>  generics       0.1.4     2025-05-09 [1] CRAN (R 4.6.0)
#>  ggplot2        4.0.3     2026-04-22 [1] CRAN (R 4.6.0)
#>  ggrepel        0.9.8     2026-03-17 [1] CRAN (R 4.6.0)
#>  glue           1.8.1     2026-04-17 [1] CRAN (R 4.6.0)
#>  gtable         0.3.6     2024-10-25 [1] CRAN (R 4.6.0)
#>  htmltools      0.5.9     2025-12-04 [1] CRAN (R 4.6.0)
#>  insight        1.5.1     2026-05-21 [1] CRAN (R 4.6.0)
#>  knitr          1.51      2025-12-20 [1] CRAN (R 4.6.0)
#>  labeling       0.4.3     2023-08-29 [1] CRAN (R 4.6.0)
#>  lattice        0.22-9    2026-02-09 [2] CRAN (R 4.6.0)
#>  lifecycle      1.0.5     2026-01-08 [1] CRAN (R 4.6.0)
#>  magrittr       2.0.5     2026-04-04 [1] CRAN (R 4.6.0)
#>  Matrix         1.7-5     2026-03-21 [2] CRAN (R 4.6.0)
#>  mgcv           1.9-4     2025-11-07 [2] CRAN (R 4.6.0)
#>  nlme           3.1-169   2026-03-27 [2] CRAN (R 4.6.0)
#>  otel           0.2.0     2025-08-29 [1] CRAN (R 4.6.0)
#>  performance  * 0.17.0    2026-05-21 [1] CRAN (R 4.6.0)
#>  pillar         1.11.1    2025-09-17 [1] CRAN (R 4.6.0)
#>  pkgconfig      2.0.3     2019-09-22 [1] CRAN (R 4.6.0)
#>  R6             2.6.1     2025-02-15 [1] CRAN (R 4.6.0)
#>  RColorBrewer   1.1-3     2022-04-03 [1] CRAN (R 4.6.0)
#>  Rcpp           1.1.1-1.1 2026-04-24 [1] CRAN (R 4.6.0)
#>  reprex         2.1.1     2024-07-06 [1] CRAN (R 4.6.0)
#>  rlang          1.2.0     2026-04-06 [1] CRAN (R 4.6.0)
#>  rmarkdown      2.31      2026-03-26 [1] CRAN (R 4.6.0)
#>  rstudioapi     0.18.0    2026-01-16 [1] CRAN (R 4.6.0)
#>  S7             0.2.2     2026-04-22 [1] CRAN (R 4.6.0)
#>  scales         1.4.0     2025-04-24 [1] CRAN (R 4.6.0)
#>  see            0.14.0    2026-05-24 [1] CRAN (R 4.6.0)
#>  sessioninfo    1.2.4     2026-06-04 [1] CRAN (R 4.6.0)
#>  tibble         3.3.1     2026-01-11 [1] CRAN (R 4.6.0)
#>  tidyselect     1.2.1     2024-03-11 [1] CRAN (R 4.6.0)
#>  vctrs          0.7.3     2026-04-11 [1] CRAN (R 4.6.0)
#>  withr          3.0.2     2024-10-28 [1] CRAN (R 4.6.0)
#>  xfun           0.58      2026-06-01 [1] CRAN (R 4.6.0)
#>  xml2           1.5.2     2026-01-17 [1] CRAN (R 4.6.0)
#>  yaml           2.3.12    2025-12-10 [1] CRAN (R 4.6.0)
#> 
#>  [1] C:/R/library
#>  [2] C:/R/R-4.6.0/library
#>  * ── Packages attached to the search path.
#> 
#> ──────────────────────────────────────────────────────────────────────────────

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reproducing the supplied R example with check_outliers(model, method = "cook") and the threshold override, then inspect the check_outliers and plot entry points. The contour lines should reflect the supplied Cook's distance threshold and remain consistent with the outlier object.

Written by the indexing model from the issue text.

Assessment

Tech stack
r
Domain
data-visualization
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Quiet
Clarity
Mostly clear
Newbie friendliness
56/100

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