Comments (4)
CorneeldH
commented on June 2, 2024
1
Yes! After writing the above I check the dependency stream myself and found patchwork.
After updating everything to the latest version it worked. The dependency on patchwork is given at 'suggested' in see, but it doesn't suggest upgrading to the given version when installing via renv or when stuff doesn't work.
Thanks for the debugging tip! And of course for all the open source work. Checking versions etc made me read the changelog so I saw all the continuous improvements you guys are making. Great stuff, thanks!
from performance.
strengejacke
commented on June 2, 2024
Can you try options(easystats_erros = TRUE), then re-run your code and post the exact error message?
from performance.
CorneeldH
commented on June 2, 2024
Thanks for the quick response.
(BTW, I tested it on second machine, with same issue)
With your setting I get the error: "Error: ‘==’ only defined for equally-sized data frames"
When I search this repo on this error I see: #691 and I move back to [email protected] and [email protected] I get a blank plot and:
Error: Problem while converting geom to grob.
When I also move see back tot 0.8.0 I get only a blank plot (no more error message).
It seems that I have to upgrade / downgrade somewhere in the whole dependency stream
Windows 11, R Studio 2023.12.1 Build 402
session_info()
─ Session info ─────────────────────────────────────────────────────────────
setting value
version R version 4.3.1 (2023-06-16 ucrt)
os Windows 11 x64 (build 22631)
system x86_64, mingw32
ui RStudio
language (EN)
collate English_Netherlands.utf8
ctype English_Netherlands.utf8
tz Europe/Amsterdam
date 2024-04-19
rstudio 2023.12.1+402 Ocean Storm (desktop)
pandoc 3.1.1 @ C:/Program Files/RStudio/resources/app/bin/quarto/bin/tools/ (via rmarkdown)
─ Packages ─────────────────────────────────────────────────────────────────
! package * version date (UTC) lib source
P askpass 1.1 2019-01-13 [?] CRAN (R 4.3.1)
P backports 1.4.1 2021-12-13 [?] CRAN (R 4.3.1)
bayestestR * 0.13.2 2024-04-01 [1] https://easystats.r-universe.dev (R 4.3.3)
P bit 4.0.5 2022-11-15 [?] CRAN (R 4.3.2)
P bit64 4.0.5 2020-08-30 [?] CRAN (R 4.3.2)
P bitops 1.0-7 2021-04-24 [?] CRAN (R 4.3.1)
P brio 1.1.3 2021-11-30 [?] CRAN (R 4.3.2)
P broom * 1.0.5 2023-06-09 [?] CRAN (R 4.3.2)
P bslib 0.5.0 2023-06-09 [?] CRAN (R 4.3.1)
P BurStMisc * 1.1 2016-08-13 [?] CRAN (R 4.3.2)
P cachem 1.0.8 2023-05-01 [?] CRAN (R 4.3.2)
P caret * 6.0-94 2023-03-21 [?] CRAN (R 4.3.2)
P caTools 1.18.2 2021-03-28 [?] CRAN (R 4.3.2)
P cellranger 1.1.0 2016-07-27 [?] CRAN (R 4.3.2)
P checkmate * 2.3.1 2023-12-04 [?] RSPM (R 4.3.0)
P class 7.3-22 2023-05-03 [?] CRAN (R 4.3.1)
P cli * 3.6.2 2023-12-11 [?] RSPM (R 4.3.0)
P codetools 0.2-19 2023-02-01 [?] CRAN (R 4.3.1)
P colorspace 2.1-0 2023-01-23 [?] CRAN (R 4.3.2)
correlation * 0.8.4.2 2024-04-01 [1] https://easystats.r-universe.dev (R 4.3.3)
P corrr * 0.4.4 2022-08-16 [?] CRAN (R 4.3.3)
P crayon 1.5.2 2022-09-29 [?] CRAN (R 4.3.2)
P crosstalk 1.2.0 2021-11-04 [?] CRAN (R 4.3.2)
P crul 1.4.0 2023-05-17 [?] CRAN (R 4.3.2)
P curl 5.2.0 2023-12-08 [?] RSPM (R 4.3.0)
P data.table 1.15.4 2024-03-30 [?] CRAN (R 4.3.3)
P dataMaid * 1.4.1 2021-10-08 [?] CRAN (R 4.3.2)
datawizard * 0.10.0 2024-04-12 [1] https://easystats.r-universe.dev (R 4.3.3)
P DEoptimR 1.1-2 2023-08-28 [?] CRAN (R 4.3.1)
P devtools * 2.4.5 2022-10-11 [?] CRAN (R 4.3.2)
P dials 1.2.0 2023-04-03 [?] CRAN (R 4.3.2)
P DiceDesign 1.9 2021-02-13 [?] CRAN (R 4.3.2)
P digest * 0.6.33 2023-07-07 [?] CRAN (R 4.3.2)
doParallel 1.0.17 2022-02-07 [1] CRAN (R 4.3.3)
P dplyr * 1.1.2 2023-04-20 [?] CRAN (R 4.3.1)
P DT 0.28 2023-05-18 [?] CRAN (R 4.3.1)
easystats * 0.7.1.1 2024-04-01 [1] https://easystats.r-universe.dev (R 4.3.3)
effectsize * 0.8.7.1 2024-04-03 [1] https://easystats.r-universe.dev (R 4.3.3)
P ellipsis 0.3.2 2021-04-29 [?] CRAN (R 4.3.2)
P emmeans 1.8.7 2023-06-23 [?] CRAN (R 4.3.1)
P estimability 1.4.1 2022-08-05 [?] CRAN (R 4.3.1)
P evaluate 0.21 2023-05-05 [?] CRAN (R 4.3.1)
P fansi 1.0.4 2023-01-22 [?] CRAN (R 4.3.1)
P farver 2.1.1 2022-07-06 [?] CRAN (R 4.3.2)
P fastmap 1.1.1 2023-02-24 [?] CRAN (R 4.3.2)
flexdashboard * 0.6.2 2023-08-11 [1] CRAN (R 4.3.3)
P flextable * 0.9.2 2023-06-18 [?] CRAN (R 4.3.1)
P fontawesome 0.5.1 2023-04-18 [?] CRAN (R 4.3.1)
P fontBitstreamVera 0.1.1 2017-02-01 [?] CRAN (R 4.3.1)
P fontLiberation 0.1.0 2016-10-15 [?] CRAN (R 4.3.1)
P fontquiver 0.2.1 2017-02-01 [?] CRAN (R 4.3.2)
P forcats * 1.0.0 2023-01-29 [?] CRAN (R 4.3.2)
P foreach 1.5.2 2022-02-02 [?] CRAN (R 4.3.2)
P fs 1.6.3 2023-07-20 [?] CRAN (R 4.3.2)
P fst * 0.9.8 2022-02-08 [?] CRAN (R 4.3.2)
P fstcore 0.9.14 2023-01-12 [?] CRAN (R 4.3.2)
P furrr * 0.3.1 2022-08-15 [?] CRAN (R 4.3.2)
P future * 1.33.0 2023-07-01 [?] CRAN (R 4.3.2)
P future.apply 1.11.0 2023-05-21 [?] CRAN (R 4.3.2)
P gdtools 0.3.3 2023-03-27 [?] CRAN (R 4.3.1)
P generics 0.1.3 2022-07-05 [?] CRAN (R 4.3.2)
P gfonts 0.2.0 2023-01-08 [?] CRAN (R 4.3.2)
P ggfortify * 0.4.16 2023-03-20 [?] CRAN (R 4.3.2)
P ggplot2 * 3.4.4 2023-10-12 [?] CRAN (R 4.3.2)
P ggrepel * 0.9.3 2023-02-03 [?] CRAN (R 4.3.1)
P globals 0.16.2 2022-11-21 [?] CRAN (R 4.3.1)
P glue 1.6.2 2022-02-24 [?] CRAN (R 4.3.2)
P gower 1.0.1 2022-12-22 [?] CRAN (R 4.3.1)
P GPfit 1.0-8 2019-02-08 [?] CRAN (R 4.3.2)
P gridExtra * 2.3 2017-09-09 [?] CRAN (R 4.3.2)
P gtable 0.3.3 2023-03-21 [?] CRAN (R 4.3.1)
P hardhat 1.3.0 2023-03-30 [?] CRAN (R 4.3.2)
P haven * 2.5.3 2023-06-30 [?] CRAN (R 4.3.2)
P highr 0.10 2022-12-22 [?] CRAN (R 4.3.2)
P hms 1.1.3 2023-03-21 [?] CRAN (R 4.3.2)
P htmltools 0.5.5 2023-03-23 [?] CRAN (R 4.3.1)
P htmlwidgets 1.6.2 2023-03-17 [?] CRAN (R 4.3.1)
P httpcode 0.3.0 2020-04-10 [?] CRAN (R 4.3.2)
P httpuv 1.6.14 2024-01-26 [?] CRAN (R 4.3.2)
P httr * 1.4.6 2023-05-08 [?] CRAN (R 4.3.1)
insight * 0.19.10 2024-04-15 [1] https://easystats.r-universe.dev (R 4.3.3)
P ipred 0.9-14 2023-03-09 [?] CRAN (R 4.3.2)
P iterators 1.0.14 2022-02-05 [?] CRAN (R 4.3.2)
P janitor * 2.2.0 2023-02-02 [?] CRAN (R 4.3.2)
P jquerylib 0.1.4 2021-04-26 [?] CRAN (R 4.3.2)
P jsonlite 1.8.8 2023-12-04 [?] RSPM (R 4.3.0)
P knitr 1.43 2023-05-25 [?] CRAN (R 4.3.1)
P labeling 0.4.2 2020-10-20 [?] CRAN (R 4.3.1)
P later 1.3.1 2023-05-02 [?] CRAN (R 4.3.2)
P lattice * 0.21-8 2023-04-05 [?] CRAN (R 4.3.1)
P lava 1.7.2.1 2023-02-27 [?] CRAN (R 4.3.1)
P lhs 1.1.6 2022-12-17 [?] CRAN (R 4.3.2)
P lifecycle 1.0.3 2022-10-07 [?] CRAN (R 4.3.1)
P listenv 0.9.0 2022-12-16 [?] CRAN (R 4.3.2)
P lubridate * 1.9.2 2023-02-10 [?] CRAN (R 4.3.1)
P magrittr 2.0.3 2022-03-30 [?] CRAN (R 4.3.2)
P MASS * 7.3-60 2023-05-04 [?] CRAN (R 4.3.1)
P Matrix 1.6-0 2023-07-08 [?] CRAN (R 4.3.1)
P memoise 2.0.1 2021-11-26 [?] CRAN (R 4.3.2)
P mgcv 1.9-0 2023-07-11 [?] CRAN (R 4.3.2)
P mime 0.12 2021-09-28 [?] CRAN (R 4.3.1)
P miniUI 0.1.1.1 2018-05-18 [?] CRAN (R 4.3.2)
modelbased * 0.8.7 2024-04-03 [1] https://easystats.r-universe.dev (R 4.3.3)
P ModelMetrics 1.2.2.2 2020-03-17 [?] CRAN (R 4.3.2)
P modelsummary * 2.0.0 2024-03-31 [?] CRAN (R 4.3.3)
P multcomp 1.4-25 2023-06-20 [?] CRAN (R 4.3.2)
P munsell 0.5.0 2018-06-12 [?] CRAN (R 4.3.2)
P mvtnorm 1.2-2 2023-06-08 [?] CRAN (R 4.3.1)
P nlme 3.1-162 2023-01-31 [?] CRAN (R 4.3.1)
P nnet 7.3-19 2023-05-03 [?] CRAN (R 4.3.1)
P officer * 0.6.2 2023-03-28 [?] CRAN (R 4.3.1)
P opdisDownsampling 1.0.1 2024-04-15 [?] CRAN (R 4.3.3)
P openssl 2.1.0 2023-07-15 [?] CRAN (R 4.3.1)
P openxlsx * 4.2.5.2 2023-02-06 [?] CRAN (R 4.3.2)
P pander 0.6.5 2022-03-18 [?] CRAN (R 4.3.2)
P parallelly 1.36.0 2023-05-26 [?] CRAN (R 4.3.1)
parameters * 0.21.6.3 2024-04-10 [1] https://easystats.r-universe.dev (R 4.3.3)
P parsnip * 1.2.0 2024-02-16 [?] CRAN (R 4.3.2)
P patchwork 1.1.3 2023-08-14 [?] CRAN (R 4.3.1)
P pbmcapply 1.5.1 2022-04-28 [?] CRAN (R 4.3.1)
P performance * 0.10.8 2023-10-30 [?] CRAN (R 4.3.1)
P pillar 1.9.0 2023-03-22 [?] CRAN (R 4.3.2)
P pkgbuild 1.4.3 2023-12-10 [?] CRAN (R 4.3.2)
P pkgconfig 2.0.3 2019-09-22 [?] CRAN (R 4.3.2)
P pkgload 1.3.2.1 2023-07-08 [?] CRAN (R 4.3.1)
P plyr 1.8.8 2022-11-11 [?] CRAN (R 4.3.1)
P pracma 2.4.4 2023-11-10 [?] CRAN (R 4.3.3)
P pROC 1.18.4 2023-07-06 [?] CRAN (R 4.3.1)
P prodlim 2023.03.31 2023-04-02 [?] CRAN (R 4.3.1)
P profvis 0.3.8 2023-05-02 [?] CRAN (R 4.3.2)
P promises 1.2.0.1 2021-02-11 [?] CRAN (R 4.3.1)
P purrr * 1.0.1 2023-01-10 [?] CRAN (R 4.3.1)
P qqconf 1.3.2 2023-04-14 [?] CRAN (R 4.3.3)
P qqplotr 0.0.6 2023-01-25 [?] CRAN (R 4.3.3)
P R6 2.5.1 2021-08-19 [?] CRAN (R 4.3.2)
P ragg 1.2.5 2023-01-12 [?] CRAN (R 4.3.1)
P rappdirs 0.3.3 2021-01-31 [?] CRAN (R 4.3.2)
P Rcpp 1.0.11 2023-07-06 [?] CRAN (R 4.3.2)
P readr * 2.1.4 2023-02-10 [?] CRAN (R 4.3.2)
P readxl * 1.4.3 2023-07-06 [?] CRAN (R 4.3.2)
P recipes * 1.0.10 2024-02-18 [?] CRAN (R 4.3.2)
P remotes 2.4.2.1 2023-07-18 [?] CRAN (R 4.3.2)
renv 1.0.0 2023-07-07 [1] CRAN (R 4.3.1)
report * 0.5.8.2 2024-04-01 [1] https://easystats.r-universe.dev (R 4.3.3)
P reshape2 1.4.4 2020-04-09 [?] CRAN (R 4.3.2)
P rlang 1.1.1 2023-04-28 [?] CRAN (R 4.3.1)
P rmarkdown 2.23 2023-07-01 [?] CRAN (R 4.3.1)
P robustbase 0.99-0 2023-06-16 [?] CRAN (R 4.3.2)
P rpart 4.1.19 2022-10-21 [?] CRAN (R 4.3.1)
P rsample * 1.2.0 2023-08-23 [?] CRAN (R 4.3.2)
P rstudio.prefs 0.1.9 2022-07-16 [?] CRAN (R 4.3.2)
P rstudioapi 0.13 2020-11-12 [?] CRAN (R 4.3.1)
P rvest * 1.0.3 2022-08-19 [?] CRAN (R 4.3.2)
P sandwich 3.0-2 2022-06-15 [?] CRAN (R 4.3.2)
P sass 0.4.7 2023-07-15 [?] CRAN (R 4.3.2)
P scales 1.3.0 2023-11-28 [?] CRAN (R 4.3.2)
P see * 0.8.0 2023-06-05 [?] CRAN (R 4.3.1)
P sessioninfo 1.2.2 2021-12-06 [?] CRAN (R 4.3.2)
P shiny 1.7.4.1 2023-07-06 [?] CRAN (R 4.3.1)
P slackr * 3.3.1 2023-02-26 [?] CRAN (R 4.3.2)
P snakecase 0.11.0 2019-05-25 [?] CRAN (R 4.3.1)
P sp * 2.0-0 2023-06-22 [?] CRAN (R 4.3.1)
P stargazer * 5.2.3 2022-03-04 [?] CRAN (R 4.3.1)
P stringi 1.7.12 2023-01-11 [?] CRAN (R 4.3.1)
P stringr * 1.5.0 2022-12-02 [?] CRAN (R 4.3.1)
P survival 3.5-5 2023-03-12 [?] CRAN (R 4.3.1)
P systemfonts 1.0.4 2022-02-11 [?] CRAN (R 4.3.1)
P tables 0.9.25 2024-04-13 [?] CRAN (R 4.3.3)
P testthat * 3.1.10 2023-07-06 [?] CRAN (R 4.3.1)
P textshaping 0.3.6 2021-10-13 [?] CRAN (R 4.3.1)
P TH.data 1.1-2 2023-04-17 [?] CRAN (R 4.3.2)
P this.path 2.4.0 2024-02-16 [?] CRAN (R 4.3.2)
P tibble * 3.2.1 2023-03-20 [?] CRAN (R 4.3.2)
P tidyr * 1.3.0 2023-01-24 [?] CRAN (R 4.3.2)
P tidyselect 1.2.0 2022-10-10 [?] CRAN (R 4.3.2)
P timechange 0.2.0 2023-01-11 [?] CRAN (R 4.3.2)
P timeDate 4022.108 2023-01-07 [?] CRAN (R 4.3.2)
P tinytable 0.2.1 2024-03-28 [?] CRAN (R 4.3.3)
P tune * 1.1.2 2023-08-23 [?] CRAN (R 4.3.2)
P twosamples 2.0.1 2023-06-23 [?] CRAN (R 4.3.3)
P tzdb 0.4.0 2023-05-12 [?] CRAN (R 4.3.2)
P urlchecker 1.0.1 2021-11-30 [?] CRAN (R 4.3.2)
P usethis * 2.2.2 2023-07-06 [?] CRAN (R 4.3.2)
P utf8 1.2.3 2023-01-31 [?] CRAN (R 4.3.1)
P uuid 1.1-0 2022-04-19 [?] CRAN (R 4.3.1)
P vctrs 0.6.3 2023-06-14 [?] CRAN (R 4.3.1)
P vroom * 1.6.3 2023-04-28 [?] CRAN (R 4.3.1)
P vusa * 0.0.0.9000 2024-04-15 [?] Github (vusaverse/vusa@fca6198)
P vvauditor * 0.6.0 2024-02-26 [?] CRAN (R 4.3.2)
P vvconverter * 0.5.9 2024-02-13 [?] CRAN (R 4.3.2)
P vvfiller * 0.6.7 2023-01-26 [?] CRAN (R 4.3.2)
P vvmover * 1.6.0 2024-02-26 [?] CRAN (R 4.3.2)
P vvsculptor * 0.4.10 2023-01-30 [?] RSPM (R 4.3.0)
P withr 2.5.0 2022-03-03 [?] CRAN (R 4.3.1)
P workflows * 1.1.3 2023-02-22 [?] CRAN (R 4.3.2)
P workflowsets * 1.0.1 2023-04-06 [?] CRAN (R 4.3.2)
P xfun 0.39 2023-04-20 [?] CRAN (R 4.3.1)
P xml2 1.3.5 2023-07-06 [?] CRAN (R 4.3.2)
P xtable 1.8-4 2019-04-21 [?] CRAN (R 4.3.2)
P yaml 2.3.7 2023-01-23 [?] CRAN (R 4.3.2)
P yardstick 1.2.0 2023-04-21 [?] CRAN (R 4.3.2)
P zip 2.3.0 2023-04-17 [?] CRAN (R 4.3.2)
P zoo 1.8-12 2023-04-13 [?] CRAN (R 4.3.2)
[1] C:/Users/chh230/repositories/sa-scripts/renv/library/R-4.3/x86_64-w64-mingw32
[2] C:/Users/chh230/AppData/Local/R/cache/R/renv/sandbox/R-4.3/x86_64-w64-mingw32/e9e85620
P ── Loaded and on-disk path mismatch.
from performance.
strengejacke
commented on June 2, 2024
So updating patchwork helped?
from performance.
Related Issues (20)
- spurious(?) viewport-too-small error with new ggplot2 version 3.5.0 HOT 11
- incorrect warning with old `ggplot2`/failure to load `see` HOT 2
- check_model "Error in match.arg" HOT 5
- Error in performance::check_distribution(): in call bw.SJ() HOT 2
- Revising `check_model()` HOT 1
- check_model failing on logistic regression HOT 2
- Check_model in version 0.11.0 no longer produces qq plot residuals HOT 19
- r2_nakagawa and glmmTMB with beta_family HOT 2
- Outlier detection in Linear mixed models failed? HOT 5
- cannot apply check_model title with patchwork::plot_annotation HOT 4
- 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 2
- check_predictions() fails when outcome is log-transformed and named like a valid function HOT 1
- Error in `check_model(<glmer>)` HOT 3
- Problems using r2_nakagawa()
- check_model fails if dependent variable is labelled
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from performance.