knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.width = 6,
  fig.height = 4
)

options(rmarkdown.html_vignette.check_title = FALSE)

```{css, echo=FALSE} body > h1 > img { position: relative; bottom: -30px; border: 0px solid rgba(0, 0, 0, 0.1); }

## Introduction

This is a collection of document templates, available through R, from your friends at the University of Miami (UM). $R+UM=rUM$

The `rUM` package will help you create research manuscripts by removing the configuration hassles commonly encountered when learning to write papers using R. `rUM` will initialize a new RStudio project and a Quarto file that includes the outline for a research paper. The Quarto file comes preconfigured with a YAML header (don't worry if you don't know what that means yet) with code chunks to load the `tidyverse` and `conflicted` packages. Manuscript sections have been created for Introduction, Methods, Results, Conclusion, and References. The project also includes a `.gitignore` file which is designed to help protect against accidentally leaking data when using git with websites like [www.github.com](https://github.com/).

rUM's documentation can be found here:

-   <https://raymondbalise.github.io/rUM/>
-   <https://github.com/RaymondBalise/rUM>

## How do I get `quarto` and `rUM`? (Add a "quart o' `rUM`"!)

1.  Modern version RStudio (v2022.07 or later) ships with Quarto but you can install the latest version of Quarto from [here](https://quarto.org/docs/get-started/).

2.  Add `rUM` to your computer by:

    -   using RStudio: click on the Packages tab in the bottom right windowpane, click the Install button, type ***rUM***, and click Install.
    -   downloading rUM from CRAN and installing it by running this code in R console:

    ``` r
    install.packages("rUM")
    ```

    -   downloading the latest version of rUM from GitHub by running commands into the R console:

    ``` r
    if (!requireNamespace("remotes")) install.packages("remotes")
    remotes::install_github("RaymondBalise/rUM")
    ```

3.  Use `rUM` by running this in the console of RStudio:

``` r
library(rUM)

Ordering rUM from the Menu

To create a research project that uses rUM, follow these steps. This will initialize a new RStudio project that has an analysis.qmd Quarto file using the tidyverse and conflicted packages and some other useful files which are described below.

  1. Using the RStudio menus, choose: File > New Project > New Directory

  2. Scroll down and then select rUM Research Project Template

    {width="70%"}

  3. Specify the location of where your research project will be saved

    {width="70%"}

Add rUM into an existing folder/directory that does not have an RStudio project.

What if you have already created a folder containing the important files for your project? Create a new project in your existing folder! This will now be your project directory (complete with a .Rproj file).

  1. Navigate to File > New Project > Existing Directory

  2. Specify the location of where your research project will be saved

    {width="70%"}

  3. Run the following script in your console:

# Change the text inside the quotes on the next line to indicate the path to your folder/directory.
PATH <- "~/Documents/blah"   

make_project(PATH, type = "Quarto (analysis.qmd)")

What is in the project? (What is served with your rUM?) {#stuff}

A new project directory is created and it will be populated with these files:

Newly created files:

```{=html}

![](created_rUM_quarto_files.png){width="80%"}

`analysis.qmd`:

```{=html}
<br>
<p id="fig:analysis_quarto_file" >
</p>

{width="80%"}

Session

If you are new to R, ignore this.

sessionInfo()


RaymondBalise/rUM documentation built on April 14, 2025, 11:48 a.m.