Moderator value default differs between "int" and "pred"?

[Scott James Perry]

Hello, I just noticed something that might be worth either fixing, if it is a bug, or at least mentioning in the documentation of plot_model().

For the mdrt.values argument, the documentation states that "minmax" is the default. I have found this to be the case if I call type="int", but if I call type="pred" it plots the "meansd" method. Specifying the argument to "minmax", does not change the plot in this case. Apologies if I've missed something in the documentation. Here is an example:

library(sjPlot)

mtcars$vs <- as.factor(as.character(mtcars$vs))
mtcars$am <- as.factor(as.character(mtcars$am))

m1 <- lm(mpg ~ vs * am * hp,
         data = mtcars)

plot_model(m1,
           type = "int")

plot_model(m1,
           type = "pred",
           terms = c("vs", "am", "hp"))

plot_model(m1,
           type = "pred",
           terms = c("vs", "am", "hp"),
           mdrt.values = "minmax")

R version 4.1.1 (2021-08-10)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19042)

Matrix products: default

locale:
[1] LC_COLLATE=English_Canada.1252  LC_CTYPE=English_Canada.1252    LC_MONETARY=English_Canada.1252
[4] LC_NUMERIC=C                    LC_TIME=English_Canada.1252    

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

other attached packages:
[1] sjPlot_2.8.9

loaded via a namespace (and not attached):
 [1] Rcpp_1.0.7         mvtnorm_1.1-2      lattice_0.20-44    tidyr_1.1.3        zoo_1.8-9         
 [6] digest_0.6.27      assertthat_0.2.1   utf8_1.2.2         R6_2.5.1           backports_1.2.1   
[11] coda_0.19-4        ggplot2_3.3.5      pillar_1.6.2       rlang_0.4.11       multcomp_1.4-17   
[16] minqa_1.2.4        performance_0.7.3  nloptr_1.2.2.2     Matrix_1.3-4       effectsize_0.4.5  
[21] ggeffects_1.1.1    labeling_0.4.2     splines_4.1.1      lme4_1.1-27.1      stringr_1.4.0     
[26] munsell_0.5.0      broom_0.7.9        compiler_4.1.1     modelr_0.1.8       xfun_0.25         
[31] pkgconfig_2.0.3    parameters_0.14.0  insight_0.14.4     tidyselect_1.1.1   tibble_3.1.4      
[36] codetools_0.2-18   fansi_0.5.0        crayon_1.4.1       dplyr_1.0.7        MASS_7.3-54       
[41] sjmisc_2.8.7       grid_4.1.1         nlme_3.1-152       xtable_1.8-4       gtable_0.3.0      
[46] lifecycle_1.0.0    DBI_1.1.1          magrittr_2.0.1     bayestestR_0.11.0  scales_1.1.1      
[51] datawizard_0.2.0.1 estimability_1.3   stringi_1.6.2      farver_2.1.0       snakecase_0.11.0  
[56] ellipsis_0.3.2     generics_0.1.0     vctrs_0.3.8        boot_1.3-28        sandwich_3.0-1    
[61] sjlabelled_1.1.8   TH.data_1.0-10     RColorBrewer_1.1-2 tools_4.1.1        glue_1.4.2        
[66] purrr_0.3.4        sjstats_0.18.1     emmeans_1.6.3      survival_3.2-11    colorspace_2.0-2  
[71] knitr_1.33