"gtools") # to convert p-values into significance stars "broom", # for extracting information from linear models "kableExtra", # for customizing and displaying tables "sjlabelled", # working with item labels (e.g., display their actual content) ![]() "purrr", # applying the linear regression function to several dependent variables The results will look more or less like this:Ĭheck if the necessary packages are available and install them if they are not: if (!require("pacman")) install.packages("pacman") Fit multiplicative regression models (direct and interactive effects) and save the relevant statistics.Fit additive regression models (direct effects) and save the relevant statistics. ![]() The approach presented here includes the following five steps:
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |