improve as.mo()

vignettes/SPSS.Rmd.not

@@ -101,13 +101,13 @@ To work with R, probably the best option is to use [RStudio](https://www.rstudio
 
 To import a data file, just click *Import Dataset* in the Environment tab:
     
-![](https://github.com/msberends/AMR/raw/main/docs/import1.png)
+![](https://msberends.github.io/AMR/import1.png)
 
 If additional packages are needed, RStudio will ask you if they should be installed on beforehand.
 
 In the the window that opens, you can define all options (parameters) that should be used for import and you're ready to go:
 
-![](https://github.com/msberends/AMR/raw/main/docs/import2.png)
+![](https://msberends.github.io/AMR/import2.png)
 
 If you want named variables to be imported as factors so it resembles SPSS more, use `as_factor()`.
 

vignettes/other_pkg.Rmd

@@ -0,0 +1,25 @@
+---
+title: "Using AMR with other packages: AMR & dplyr/tidyverse"
+output: 
+  rmarkdown::html_vignette:
+    toc: true
+    toc_depth: 3
+vignette: >
+  %\VignetteIndexEntry{How to conduct AMR data analysis}
+  %\VignetteEncoding{UTF-8}
+  %\VignetteEngine{knitr::rmarkdown}
+editor_options: 
+  chunk_output_type: console
+---
+
+```{r setup, include = FALSE, results = 'markup'}
+knitr::opts_chunk$set(
+  warning = FALSE,
+  collapse = TRUE,
+  comment = "#>",
+  fig.width = 7.5,
+  fig.height = 5
+)
+```
+
+This page will be updated shortly, to give explicit examples of how to work ideally with the `AMR` package, for those who are used to working in `dplyr` or other tidyverse packages.