---
title: "Getting Started with cld"
output: rmarkdown::html_vignette
vignette: >
  %\VignetteIndexEntry{Getting Started with cld}
  %\VignetteEngine{knitr::rmarkdown}
  %\VignetteEncoding{UTF-8}
---

```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)
```

```{r setup}
library(cld)
```

## Introduction

The **cld** package provides an easy and consistent way to create compact letter displays (CLDs) for visualizing results of pairwise statistical comparisons. Groups sharing the same letter are not significantly different from each other — a convention widely used in agricultural, biological, and statistical publications.

## Why Use cld?

🔄 **Universal compatibility** - Works with outputs from base R, PMCMRplus, rstatix, DescTools, and custom data frames  
🎯 **One function** - `make_cld()` handles all input types automatically  
📊 **Publication-ready** - Generate clean, professional statistical grouping labels  
📝 **Informative** - Stores metadata (alpha, method, comparison counts) for transparency  
🛠️ **Well-tested** - 500+ tests ensuring reliability across all methods  

## Interpretation Rules

❌ At least one **shared letter** → Groups are **NOT** significantly different  
✅ **No shared letters** → Groups **ARE** significantly different  

**Examples:**

- ❌ Groups with "c" and "c" share letter "c" → difference is not significant
- ❌ Groups with "a" and "ab" share letter "a" → difference is not significant
- ❌ Groups "ab" and "bc"  share letter "b" → difference is not significant
- ❌ Groups "abc" and "bcd"  share letters "b", and "c" → difference is not significant
- ✅ Groups with "a" and "c" share no letters → significant difference
- ✅ Groups with "abd" and "ce" share no letters → significant difference


## Quick Start

The **cld** package works with various statistical test outputs. Here's a simple example:

```{r quickstart}
# Run a pairwise test
test_result <- pairwise.wilcox.test(chickwts$weight, chickwts$feed, exact = FALSE)

# Generate compact letter display
make_cld(test_result)
```

**Interpretation**:

- Groups sharing at least one letter are **not** significantly different (e.g., casein and sunflower both have "a");
- Groups with no shared letters **are** significantly different (e.g., horsebean "b" and soybean "c").

## Basic Usage with Base R Tests

### Pairwise Wilcoxon Test

```{r example-wilcox}
# Pairwise Wilcoxon rank sum test
result <- pairwise.wilcox.test(chickwts$weight, chickwts$feed, exact = FALSE)
make_cld(result)
```

### Pairwise t-test

```{r example-ttest}
# Pairwise t-test
result2 <- pairwise.t.test(chickwts$weight, chickwts$feed)
make_cld(result2)
```

## Understanding the Output

### Structure

The `make_cld()` function returns a `cld_object` (enhanced data frame) with:

**Columns:**

- **group** - Names of the groups being compared
- **cld** - Compact letter display (letters only)
- **spaced_cld** - Monospaced version for alignment (underscores replace spaces)

**Attributes (metadata):**

- **alpha** - Significance level used
- **method** - Statistical test/method name
- **n_comparisons** - Total number of pairwise comparisons
- **n_significant** - Number of significant differences found

```{r output-demo}
result <- pairwise.wilcox.test(chickwts$weight, chickwts$feed, exact = FALSE)
cld_result <- make_cld(result)

# View result
cld_result

# Access metadata
attributes(cld_result)[c("alpha", "method", "n_comparisons", "n_significant")]
```

## Working with the Output

### Convert to Other Formats

```{r convert}
# Extract as named character vector
letters_only <- as.character(cld_result)
letters_only

# Convert back to plain data frame (removes metadata)
plain_df <- as.data.frame(cld_result)
class(plain_df)
```

### Adjust Significance Level

```{r example-alpha}
result <- pairwise.wilcox.test(chickwts$weight, chickwts$feed, exact = FALSE)

# Standard (alpha = 0.05)
make_cld(result, alpha = 0.05)

# More stringent (alpha = 0.01)
make_cld(result, alpha = 0.01)
```
