fatma
2024-12-17
Shiny is an R package that makes it easy to build interactive web applications (apps) straight from R. Shiny is an R package developed by RStudio that allows you to create interactive web applications directly from R. It is widely used for building dashboards, data visualizations, and other interactive tools that can be used both locally and in a web-based environment.
How Shiny Works: Shiny is reactive, meaning that when a user changes an input, the app will automatically update the outputs that depend on it. This reactivity is powered by the reactive programming paradigm, which Shiny handles for you behind the scenes.
Reactive Inputs: These are user inputs like sliders, text boxes, or drop-down menus. The app will respond to changes in these inputs.
Reactive Outputs: These are the outputs displayed on the app, such as text, tables, or plots. They are dynamically updated when the corresponding inputs change.
Reactive Expressions: These are pieces of code that depend on inputs and automatically re-execute when the inputs change. For example, a plot that updates every time a slider changes.
Example of a Simple Shiny App:
## Warning: package 'shiny' was built under R version 4.4.2
Performing statistical analysis using Shiny in R allows you to build interactive web applications where users can input data, select statistical tests, and visualize results dynamically. 1)Install and Load Required Packages. 2)Create the Shiny App Structure.
example:
## Warning: package 'ggplot2' was built under R version 4.4.2
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
To demonstrate statistical analysis within a Shiny Dashboard, we can adapt the previous Shiny app example into a Shiny Dashboard layout. Shiny Dashboard provides a structured layout that is great for displaying multiple components such as inputs, outputs, and visualizations in a clear and organized way.
We will create a Shiny Dashboard that allows the user to:
Upload a dataset (CSV file). Choose a column for analysis. Perform statistical analysis (summary statistics and hypothesis tests). View visualizations (histogram and boxplot).
## Warning: package 'shinydashboard' was built under R version 4.4.2
##
## Attaching package: 'shinydashboard'
## The following object is masked from 'package:graphics':
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## box