Interactive R Quick Reference Cheatsheet

R Interactive Environment Setup

Install Quarto Live extension

quarto add r-wasm/quarto-live

YAML Configuration for interactive R

---
format: live-html
webr:
  packages:
    - dplyr
    - ggplot2
---

In-depth Tutorial: Installing Quarto Live & WebAssembly

Basic Interactive R Scripting

Example R code block:

```{webr}
# Basic interactive R script
x <- 1:10
mean(x)
```

Output:

In-depth Tutorial: Interactive R for Beginners

Interactive Plotting

ggplot2 Example

Source

```{webr}
library(ggplot2)
ggplot(mtcars, aes(x=wt, y=mpg)) + geom_point()
```

Output

Plotly Example

Source

```{webr}
library(plotly)
plot_ly(data = iris, x = ~Sepal.Length, y = ~Petal.Length, type = 'scatter', mode = 'markers')
```

Output

In-depth Tutorial: Interactive Data Visualization in R

Interactive Widgets & Exercises

Creating Interactive Widgets (htmlwidgets)

Source

```{webr}
library(DT)
DT::datatable(iris)
```

Output

Interactive Exercise with Hints and Solutions

Source

::: {.panel-tabset}

#### Exercise


```{webr}
#| exercise: ex_mean
# Calculate the mean of the following vector
vec <- c(2, 4, 6, 8, 10)
mean(vec)
```

#### Hint

Use the `mean()` function.

#### Solution

```r
mean(vec)
```
:::

Exercise

Hint

Use the mean() function.

Solution

mean(vec)

In-depth Tutorial: Designing and Grading Interactive R Exercises

Further Reading

• Interactive Code Blocks Explained
• Managing Execution Environments
• Interactive Widgets in R
• Shinylive Essentials for R

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