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improve as.mo()
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@ -101,13 +101,13 @@ To work with R, probably the best option is to use [RStudio](https://www.rstudio
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To import a data file, just click *Import Dataset* in the Environment tab:
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If additional packages are needed, RStudio will ask you if they should be installed on beforehand.
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In the the window that opens, you can define all options (parameters) that should be used for import and you're ready to go:
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If you want named variables to be imported as factors so it resembles SPSS more, use `as_factor()`.
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25
vignettes/other_pkg.Rmd
Executable file
25
vignettes/other_pkg.Rmd
Executable file
@ -0,0 +1,25 @@
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---
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title: "Using AMR with other packages: AMR & dplyr/tidyverse"
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output:
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rmarkdown::html_vignette:
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toc: true
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toc_depth: 3
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vignette: >
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%\VignetteIndexEntry{How to conduct AMR data analysis}
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%\VignetteEncoding{UTF-8}
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%\VignetteEngine{knitr::rmarkdown}
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editor_options:
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chunk_output_type: console
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---
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```{r setup, include = FALSE, results = 'markup'}
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knitr::opts_chunk$set(
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warning = FALSE,
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collapse = TRUE,
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comment = "#>",
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fig.width = 7.5,
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fig.height = 5
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)
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```
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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.
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