---
title: "Juvenile Fish Analysis with Tivy"
output: rmarkdown::html_vignette
vignette: >
  %\VignetteIndexEntry{Juvenile Fish Analysis with Tivy}
  %\VignetteEngine{knitr::rmarkdown}
  %\VignetteEncoding{UTF-8}
---

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

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

## Juvenile Fish Analysis

Analyze juvenile fish proportions in catches using length-weight relationships and catch data.

### Basic Juvenile Analysis

Calculate juvenile percentages from length frequency data:

```{r}
# Calculate juvenile percentages
juvenile_results <- summarize_juveniles_by_group(
  data = your_length_data,
  group_cols = c("date", "fishing_zone"),
  length_cols = c("8", "9", "10", "11", "12", "13"),
  juvenile_limit = 12,  # Size threshold in cm
  a = 0.0012,          # Length-weight coefficient
  b = 3.1242           # Length-weight exponent
)
```

### Length-Weight Relationships

Use species-specific parameters for weight calculations:

```{r}
# Calculate fish weights from lengths
weights <- calculate_fish_weight(
  length = c(8, 10, 12, 14),
  a = 0.0048,  # Coefficient for anchoveta
  b = 3.067    # Exponent for anchoveta
)

# Apply catch weighting to length frequencies
weighted_data <- apply_catch_weighting(
  data = your_data,
  length_cols = c("8", "9", "10", "11", "12"),
  catch_col = "total_catch",
  a = 0.0048,
  b = 3.067
)
```

### Juvenile Percentage Calculation

Calculate juvenile proportions:

```{r}
# Single sample calculation
juv_percent <- calculate_juvenile_percentage(
  frequency = c(10, 25, 40, 30, 15),  # Frequencies by length
  length = c(8, 9, 10, 11, 12),       # Length classes
  juvenile_limit = 10                  # Juvenile threshold
)

# Get length ranges from frequency data
min_length <- get_length_range(
  frequency = c(0, 5, 10, 20, 15, 0),
  length = c(8, 9, 10, 11, 12, 13),
  type = "min"
)
```

### Convert Numbers to Weight

Convert length frequencies to weight estimates:

```{r}
# Convert frequency data to weight
weight_data <- convert_numbers_to_weight(
  data = your_frequency_data,
  length_cols = c("8", "9", "10", "11", "12"),
  a = 0.0012,
  b = 3.1242
)
```

### Visualization

Create juvenile analysis plots:

```{r}
# Plot juvenile analysis
juvenile_plot <- plot_juvenile_analysis(
  data = your_data,
  x_var = "date",
  length_cols = c("8", "9", "10", "11", "12"),
  plot_type = "bars",
  title = "Juvenile Analysis Over Time"
)

# Create comprehensive dashboard
dashboard <- create_fishery_dashboard(
  data = complete_data,
  date_col = "date",
  length_cols = find_columns_by_pattern(complete_data, "^[0-9]")
)
```

### Length-Weight Parameters

Common parameters for Peruvian species:

| Species | a | b | Juvenile Limit (cm) |
|---------|---|---|-------------------|
| Anchoveta | 0.0048 | 3.067 | 12 |
| Sardina | 0.0091 | 3.152 | 15 |
| Jurel | 0.0079 | 3.089 | 20 |

### Parallel Processing

For large datasets:

```{r}
# Use parallel processing for catch weighting
weighted_data <- apply_catch_weighting(
  data = large_dataset,
  length_cols = length_columns,
  catch_col = "catch",
  a = 0.0048,
  b = 3.067,
  parallel = TRUE,
  num_cores = 4
)
```

## Analysis Tips

1. **Juvenile thresholds**: Base on biological criteria (size at maturity)
2. **Species parameters**: Use species-specific length-weight coefficients
3. **Data quality**: Validate length frequency data before analysis
4. **Both metrics**: Consider both number and weight-based percentages

For parameter recommendations and detailed examples, see the function documentation.

## References

- Froese, R. (2006). Cube law, condition factor and weight–length relationships: history, meta-analysis and recommendations. *Journal of Applied Ichthyology*, 22(4), 241-253. <https://doi.org/10.1111/j.1439-0426.2006.00805.x>

- IMARPE (2020). Protocolo Elaboración de la Tabla de Decisión para la determinación del Límite Máximo Total Permisible por temporada de pesca en la pesquería del stock norte-centro de la anchoveta peruana. IMP-DGIRP/AFDPERP, Edición: 05, Revisión 00, 40p.