Creating Interactive Plots with RStudio Shiny Apps: A Step-by-Step Guide

In this tutorial, we will explore how to add another input widget to our RStudio Shiny app to let users switch between plotting eruption time and wait time. We'll also learn how to update the x-axis label and create an interactive histogram.

To begin, open your RStudio project and navigate to the 'File' menu. Select 'New File' and then 'R Markdown' to create a new file. In this file, we will define our Shiny app using the `shinyApp` function.

The first step is to add a title panel to our app using the `titlePanel` function from the `fluidPage` package. This will provide a title for our application and make it more user-friendly.

```R

ui <- fluidPage(

# Application title

titlePanel('Old Faithful Geyser Data')

)

```

Next, we'll add a sidebar panel using the `sidebarLayout` function from the same package. This will allow us to add widgets to our app that users can interact with.

Inside the sidebar panel, we'll add a slider input widget using the `sliderInput` function. This widget will allow users to select the number of bins they want for their histogram.

```R

sidebarPanel(

sliderInput('bins',

'Number of bins:',

min = 1,

max = 100,

value = 30)

)

```

Now, let's define our server logic using the `server` function. This is where we'll write the code that will generate our histogram based on user input.

```R

server <- function(input, output) {

# Define a reactive expression to generate the histogram

output$distPlot <- renderPlot({

ggplot(faithful, aes(x = eruptions)) +

geom_histogram(bins = input$bins)

})

}

```

In this code, we're using the `ggplot` function from the 'ggplot2' package to create a histogram of the eruption times. We're also using the `geom_histogram` function to specify the number of bins based on user input.

Finally, let's run our Shiny app by clicking the 'Run App' button in the top right corner of the source pane.

With these simple steps, we've created an interactive plot that allows users to switch between plotting eruption time and wait time. We can also update the x-axis label and create a histogram with user-defined number of bins. This is just the beginning of what you can do with Shiny apps - the possibilities are endless!

Rstudio shiny app