README.md

In statdecideR: Automated Statistical Analysis and Plotting with CLD

statdecideR

statdecideR is an R package for automatic statistical decision-making, compact letter displays (CLDs), and beautiful plots for parametric and non-parametric tests — making your analysis both robust and publication-ready.

✨ Features

• Automatically detects normality (Shapiro-Wilk test)
• Chooses appropriate test: ANOVA or Kruskal-Wallis
• Performs post-hoc test: Tukey HSD or Multiple Comparisons (agricolae)
• Displays Compact Letter Display (CLD) results
• Generates clean boxplots, heatmaps, and faceted plots
• Fully reproducible and customizable

📦 Installation

# Development version (from local source or GitHub in future)
# install.packages("devtools")
devtools::install_github("yourusername/statdecideR")

⚠ Replace "yourusername" with your actual GitHub username once hosted.

🛠️ Usage

library(statdecideR)

# Load your data
data <- read.csv("your_data.csv")

# Run analysis and plot
plot_with_cld(
  data = data,
  dep_var = "pollen",          # Your dependent variable
  group_var = "month",         # Your independent variable (factor)
  normal = FALSE               # Will be auto-detected in future version
)

📊 Example Output

The package automatically performs: - Statistical test selection - Post-hoc analysis (if significant) - Plot with CLD labels

📄 License

MIT © Subhradip Bhattacharjee

statdecideR documentation built on June 8, 2025, 11:17 a.m.