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Perform ANOVA and Multiple Comparisons Analysis

anova_analysis.Rd

Performs one-way ANOVA and Tukey's HSD test for multiple comparisons across different segments. Provides both statistical results and optional visualization.

Usage

anova_analysis(stats_df, plot = TRUE)

Arguments

stats_df

A data frame containing columns:

  • segment_id: Numeric identifier for segments

  • label: Factor or character indicating groups to compare

  • mean: Numeric values for comparison

plot

Logical, whether to create a boxplot visualization (default: TRUE)

Value

A tibble containing ANOVA results with columns:

  • segment_id: Segment identifier

  • term: Source of variation (label or Residuals)

  • df: Degrees of freedom

  • sumsq: Sum of squares

  • meansq: Mean squares

  • statistic: F-statistic

  • p.value: P-value

  • significant: Logical indicating if p.value < 0.05

Details

The function performs two main analyses:

  • One-way ANOVA for each segment

  • Tukey's HSD test for multiple comparisons with adjusted p-values

The printed output includes:

  • Tukey's HSD results with adjusted p-values

  • Significance levels: *** (p<0.001), ** (p<0.01), * (p<0.05), ns (p>=0.05)

  • Optional boxplot visualization

Examples

if (FALSE) { # \dontrun{
# Basic usage
results <- anova_results(stats_df)

# Without plot
results <- anova_results(stats_df, plot = FALSE)
} # }