Run the Shiny App for Correlation Analysis of multiple variables

App allows user to import data through excel/.csv files or through clipboard and select the correlation method and download the results with few customization options

Usage

correlation_multi

Value

This function runs a local instance of the Shiny app in your default web browser. The app interface allows users to upload data, select analysis methods, and download outputs.

Details

This Shiny app is part of the visvaR package and is designed for correlation analysis and user can download the report in word format also has option to download the correlation plot as .png file. To use custom fonts, please install the extrafont package and run extrafont::font_import() and extrafont::loadfonts().

References

Wei, T., & Simko, V. (2021). R package 'corrplot': Visualization of a Correlation Matrix (Version 0.92). Available from https://CRAN.R-project.org/package=corrplot. Friendly, M. (2002). Corrgrams: Exploratory displays for correlation matrices. The American Statistician, 56(4), 316-324.

Author

Ramesh Ramasamy

Mathiyarsai Kulandaivadivel

Tamilselvan Arumugam

Examples

# Example 1: Basic usage
if(interactive()) {
  correlation_multi()
}

# Example 2: Sample workflow with iris dataset
if(interactive()) {
  # Prepare sample data
  write.csv(iris[, 1:4], "sample_data.csv", row.names = FALSE)

  # Launch the app
  correlation_multi()

  # Instructions for users:
  # 1. Click "Choose a file" and select sample_data.csv
  # 2. Select correlation method (e.g., "pearson")
  # 3. Click "Analyze"
  # 4. View results in different tabs
  # 5. Download plot or Word report as needed

  # Clean up
  unlink("sample_data.csv")
}

# Example 3: Using clipboard data
if(interactive()) {
  # Copy this to clipboard:
  # Var1,Var2,Var3
  # 1,2,3
  # 4,5,6
  # 7,8,9

  correlation_multi()
  # Click "Paste from Clipboard" after copying data
}