---
title: "Getting Started with RDesk"
output: rmarkdown::html_vignette
vignette: >
  %\VignetteIndexEntry{Getting Started with RDesk}
  %\VignetteEngine{knitr::rmarkdown}
  %\VignetteEncoding{UTF-8}
---

```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)
```

```{r}
# Verify RDesk is installed correctly
packageVersion("RDesk")
# Check that the example app is bundled (if existing)
app_path <- system.file("templates/hello", package = "RDesk")
if (nzchar(app_path)) {
  file.exists(app_path)
}
```

## The "Last Mile" of R Deployment

Data analysts build powerful tools in R, but sharing them with non-technical users is difficult. Shiny is excellent for web dashboards, but it requires a server and a steady network connection.

**RDesk** solves this by turning your R code into a **native Windows desktop application**. It runs as a standalone `.exe` with zero network overhead and no server required.

## 1. Installation

RDesk works out-of-the-box on modern Windows systems. You only need **R** and **Rtools** installed.

```r
# Install from GitHub
# devtools::install_github("Janakiraman-311/RDesk")
library(RDesk)
```

## 2. Your First App (The One-Click Way)

The fastest way to build an RDesk application is using the built-in scaffolding tool. This generates a professional dashboard with a sidebar, KPI cards, and an asynchronous charting engine.

```r
library(RDesk)

# Create a professional dashboard in a new directory
RDesk::rdesk_create_app("MyDashboard")
```

![RDesk Hero Dashboard](../man/figures/landing.png)

Navigate to the `MyDashboard` folder and run `app.R` to see the results.

## 3. Building a Standalone Executable

The core value of RDesk is the ability to turn your R code into a standalone `.exe` that runs on any machine without requiring a pre-installed R version.

> **First build note:** The initial build takes 3-5 minutes as RDesk 
> downloads and bundles a portable R runtime. Subsequent builds 
> complete in under 30 seconds.

```r
# Build a portable ZIP bundle
RDesk::build_app(
  app_dir  = "MyDashboard",
  app_name = "MyProfessionalApp"
)
```

The resulting `.zip` file in the `dist/` folder contains exactly what you need to distribute your tool. The end-user simply unzips and runs `MyProfessionalApp.exe`.

### Using renv for reproducibility

If your project uses `renv`, commit your `renv.lock` in the project root. RDesk's GitHub Actions workflows will automatically restore from that lockfile before building. Additionally, `build_app()` writes a bundle-level `renv.lock` into each distributable when `renv` is active.

## 4. Key Concepts

### Zero-Port IPC
Zero ports, zero firewall issues. Communication happens over standard input/output using a high-speed JSON protocol.

### Async Processing
Use the `async()` wrapper to run heavy R tasks without freezing the UI:

```r
app$on_message("heavy_task", async(function(msg) {
  Sys.sleep(2) # Simulate work
  list(status = "Done")
}, app = app))
```

## Next Steps

*   [**Coming from Shiny**](shiny-migration.html) — Map your existing Shiny knowledge to the RDesk mental model.
*   [**Cookbook**](cookbook.html) — Common recipes for file dialogs, charts, and native menus.
*   [**Async Guide**](async-guide.html) — Deep dive into background task management.