Quick tutorial of how to use teal package to create reproducible web application in R

1. Essentials of teal
Interactive Exploratory Data Analysis with
Shiny Web-Applications

2. What is teal?
For more: `teal` documentation
shiny based reproducible framework
Modularized and open for customization
Provides data manipulation tools
Open source (Apache 2.0)

3. The components of teal
For more: Getting started with teal

4. Composing teal app
library(teal)
app <- teal::init(
data = teal_data(iris = iris, mtcars = mtcars),
modules = modules(
example_module("Module 1"),
example_module("Module 2")
),
filter = teal_slices(
teal_slice(dataname = "iris", varname = "Species")
)
)
shinyApp(app$ui, app$server)
For more: Getting started with teal

5. library(teal.data)
data <- teal_data() |>
within({
x <- data.frame(
numeric = 1:10,
character = letters[1:10],
logical = c(TRUE, FALSE),
date = as.Date("2019-01-01") + 1:10
)
})
data[["x"]] # get objects
get_code(data) # get code
● teal_data object contains code and
environment.
● use within() or eval_code() to
modify data.
● code ↔ environment.
For more: Including Reproducible Data
Composing teal app - reproducible teal_data

6. ● teal_module defines appearance
and functionality of a single tab.
● ui and server are classic shiny
modules.
● server receives data after
filtering.
module(
label = "simple module",
ui = function(id) {
ns <- NS(id)
fluidPage(tableOutput(ns("table")))
},
server = function(id, data) {
moduleServer(
id,
function(input, output, session) {
output$table <- renderTable(
data()[["ds1"]]
)
}
)
}
)
For more: Creating Custom Modules
Composing teal app - teal_module(s)

7. Fixed filter Anchored filter
teal_slice(
dataname = "iris",
varname = "Species",
id = "xyz",
selected = "virginica",
fixed = TRUE
)
Fixed & Anchored Custom expression
teal_slice(
dataname = "mtcars",
varname = "cyl",
id = "xyz",
selected = 6,
anchored = TRUE
)
teal_slice(
dataname = "iris",
id = "custom",
title = "Custom expression",
expr = "Species %in%
c('virginica', 'setosa') &
Sepal.Length > 1"
)
teal_slice(
dataname = "mtcars",
varname = "gear",
id = "xyz",
selected = c(3, 5),
anchored = TRUE,
fixed = TRUE
)
For more: Filter Panel
Composing teal app - teal_slice(s)

8. teal is finally on CRAN! 🎉🥳🔥