Animated Graph maker using R-Project-Shiny-based Packages

This animated graph maker has been developed using R-Project (4.4.1), RStudio 2025.09.1 Build 401. It is made using packages, including shiny, ggplot2, gganimate, gifski, av, dplyr, readr, shinycssloaders, gapminder, rlang, and shinyjs..

Check my other online advanced statistical tools here:

1. Structural Equation Modeling using Lavaan package in R - https://jeepakistan.blogspot.com/2025/07/structural-equation-modeling-sem-using.html

2. Meta-analysis using Odds Ratio (OR) in Microsoft Excel - https://jeepakistan.blogspot.com/2025/06/meta-analysis-using-odds-ratio-or-in.html

3. Meta-analysis using Cohen's d in Microsoft Excel - https://jeepakistan.blogspot.com/2025/05/meta-analysis-using-cohens-d-in.html

4. Meta-analysis using Correlation (r) in Microsoft Excel - https://jeepakistan.blogspot.com/2025/05/meta-analysis-using-correlation-r-in.html

5. Meta-Analysis using R-Project-based Metafor, and Online calculator (R-Project-Shiny-based) - https://jeepakistan.blogspot.com/2025/09/meta-analysis-using-r-project-based.html

6. Time Series Analyses using R-Project-based Packages, and Online calculator (R-Project-Shiny-based) - https://jeepakistan.blogspot.com/2025/10/time-series-analyses-using-r-project.html

Meta-Analysis using R-Project-based Metafor, and Online calculator (R-Project-Shiny-based)

This online calculator has been developed using R-Project (4.4.1), RStudio 2025.05.0 Build 496. It is made using packages, including shiny, shinydashboard, metafor, readr, DT, ggplot2, plotly, broom, and rmarkdown..

Check my other online advanced statistical tools here:

1. Structural Equation Modeling using Lavaan package in R - https://jeepakistan.blogspot.com/2025/07/structural-equation-modeling-sem-using.html

2. Meta-analysis using Odds Ratio (OR) in Microsoft Excel - https://jeepakistan.blogspot.com/2025/06/meta-analysis-using-odds-ratio-or-in.html

3. Meta-analysis using Cohen's d in Microsoft Excel - https://jeepakistan.blogspot.com/2025/05/meta-analysis-using-cohens-d-in.html

4. Meta-analysis using Correlation (r) in Microsoft Excel - https://jeepakistan.blogspot.com/2025/05/meta-analysis-using-correlation-r-in.html

Day 6: 30-days to learn rgl, plotly, and gganimate - Create an interactive 3D plot with rgl that uses various viewpoints or angles to simulate rotation

Step 1: Install and Load the rgl Package

Ensure that you have the rgl package installed and loaded in your R environment.

# Install rgl if not already installed

if (!require("rgl")) install.packages("rgl")

# Load the rgl package

library(rgl)

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Step 2: Prepare a Dataset

For demonstration purposes, create or use a sample 3D dataset (e.g., random points in 3D space).

# Sample dataset with random 3D points

set.seed(123)

n <- 100

x <- rnorm(n)

y <- rnorm(n)

z <- rnorm(n)

colors <- rainbow(n)

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Step 3: Create a Basic 3D Plot

Use plot3d() to create a basic 3D scatter plot.

# Create a 3D scatter plot

plot3d(x, y, z, col = colors, size = 5, type = 's', xlab = "X-axis", ylab = "Y-axis", zlab = "Z-axis")

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Step 4: Enhance the Plot with Customization

Add customizations like grid lines, labels, and lighting for better visualization.

# Add grid lines

grid3d("x")

grid3d("y")

grid3d("z")

# Enhance lighting

light3d(specular = "white")

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Step 5: Set Up Rotation Parameters

Define a sequence of angles to rotate the plot and simulate a continuous rotation.

# Define rotation parameters

angles <- seq(0, 360, by = 5) # 5-degree increments

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Step 6: Rotate the Plot Programmatically

Use a loop to rotate the plot around a specific axis (e.g., the z-axis).

# Rotate around the z-axis

for (angle in angles) {

  view3d(theta = angle, phi = 30) # Rotate theta; phi is the vertical angle

  Sys.sleep(0.1)                 # Pause for 0.1 seconds for smooth transition

}

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Step 7: Export the Visualization

Save the interactive 3D plot as an HTML widget or image file for sharing or further use.

# Save as an interactive HTML file

rglwidget() %>% htmlwidgets::saveWidget("3D_plot_rotation.html")

# Save as a static image (PNG)

rgl.snapshot("3D_plot_rotation.png")

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Step 8: Test and Adjust

• Experiment with different rotation axes (x, y, or z) by modifying view3d() parameters.
• Adjust the speed of rotation using Sys.sleep().

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Outcome

By the end of this exercise, you will have an interactive 3D plot that smoothly rotates, providing a dynamic visualization of the data. You can integrate this plot with tools like plotly or embed it into web presentations for a polished output.