plot_models: Wrong labeling of dependent variables when nr of models > 9

[Florian Krause]

When plotting more than 9 models, plot_models mixes up the labels of the dependent variable.
Tthis issue makes plot_models currently only valid for up to 9 models.

Here is an example with 9 models and correct labels:

plot_models(results_m[1:10], colors="Set3", vline.color="gray", spacing=1.0, show.values=TRUE, show.p=TRUE, p.adjust="fdr", rm.terms=c("age", "gender",))

And here is an example with one more model added, leading to incorrect labels:

plot_models(results_m[1:10], colors="Set3", vline.color="gray", spacing=1.0, show.values=TRUE, show.p=TRUE, p.adjust="fdr", rm.terms=c("age", "gender",))

Plotted models are from lmerTest.

Some additional information:

> sessionInfo()
R version 4.1.0 (2021-05-18)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: CentOS Linux 7 (Core)

Matrix products: default
BLAS:   /opt/R/4.1.0/lib64/R/lib/libRblas.so
LAPACK: /opt/R/4.1.0/lib64/R/lib/libRlapack.so

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C               LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8     LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8    LC_PAPER=en_US.UTF-8      
 [8] LC_NAME=C                  LC_ADDRESS=C               LC_TELEPHONE=C             LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       

attached base packages:
[1] stats     graphics  grDevices datasets  utils     methods   base     

other attached packages:
[1] corrplot_0.92  pals_1.7       sjPlot_2.8.14  afex_1.3-0     lmerTest_3.1-3 lme4_1.1-33    Matrix_1.5-3  

loaded via a namespace (and not attached):
 [1] Rcpp_1.0.10         mvtnorm_1.1-3       lattice_0.20-44     tidyr_1.3.0         digest_0.6.31       utf8_1.2.3          R6_2.5.1            plyr_1.8.8          backports_1.4.1    
[10] evaluate_0.20       ggplot2_3.4.1       pillar_1.8.1        rlang_1.0.6         rstudioapi_0.14     minqa_1.2.5         performance_0.10.3  car_3.1-1           nloptr_2.0.3       
[19] effectsize_0.8.3    rmarkdown_2.20      ggeffects_1.2.2     splines_4.1.0       stringr_1.5.0       munsell_0.5.0       broom_1.0.4         modelr_0.1.10       compiler_4.1.0     
[28] numDeriv_2016.8-1.1 xfun_0.37           parameters_0.21.0   pkgconfig_2.0.3     htmltools_0.5.4     insight_0.19.1      tidyselect_1.2.0    tibble_3.2.0        fansi_1.0.4        
[37] withr_2.5.0         dplyr_1.1.0         MASS_7.3-54         sjmisc_2.8.9        grid_4.1.0          nlme_3.1-152        gtable_0.3.1        lifecycle_1.0.3     magrittr_2.0.3     
[46] bayestestR_0.13.1   scales_1.2.1        datawizard_0.7.1    estimability_1.4.1  cli_3.6.0           stringi_1.7.12      carData_3.0-5       mapproj_1.2.11      farver_2.1.1       
[55] renv_0.17.0         reshape2_1.4.4      generics_0.1.3      vctrs_0.5.2         boot_1.3-28         sjlabelled_1.2.0    RColorBrewer_1.1-3  tools_4.1.0         dichromat_2.0-0.1  
[64] glue_1.6.2          purrr_1.0.1         maps_3.4.1          sjstats_0.18.2      emmeans_1.8.6       abind_1.4-5         parallel_4.1.0      fastmap_1.1.1       yaml_2.3.7