--- title: "Creating an R project" output: rmarkdown::html_vignette vignette: > %\VignetteIndexEntry{Creating an R project} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- ```{r, include = FALSE, message=F, warning=F} knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ``` # Forward A clean environment to organise code, reports, data sets and documentation is crucial in large analytical projects. The `create_project` function automatically creates a clean template environment, along with an R project file--anchoring working directories to enable simultaneously working across multiple projects. It works across all platforms--Windows, Mac, and Linux. This vignette walks though what to expect in this project. ```{r setup, message=F, warning=F, error = F} library(WAACHShelp) # Let's load the WAACHShelp package ``` # Function specifics The `create_project` has a small set of arguments: + Project name + `project_name` + Folders -- should the following folders be created for the project? The default for these is `TRUE`. + `data` + `reports` + `output` + `docs` + Other folders + Should any other folders (not contained in the above) be created? # Running the function Suppose we have just created an empty folder for a project wherever we like (could be local, in a network drive, etc.). ## Step 1: Create a folder for our project contents to sit. For the sake of this example, I have created a folder called "test_project" in Documents. ![Empty folder called `test_project` in My Documents](images/create_project/1_blank_folder.png) ## Step 2: Now we can run our function in R. This can be done from a null project, or from terminal. I have left all of the `data`, `reports`, `output`, arguments as default (`TRUE`). This means they will all be created. ```{r eval = F} create_project(project_name = "test_project") ``` This opens the following window: ```{r, echo=FALSE, out.width="95%"} knitr::include_graphics("images/create_project/2_prompt.png") ``` Navigate to the `test_project` folder we created earlier. ## Step 3: Done! All of the folders have been created, in addition to an R project that takes the name given by the `project_name` argument. ```{r, echo=FALSE, out.width="95%"} knitr::include_graphics("images/create_project/3_project.png") ```