agrobox 0.3.0

New features

• Added support for combined ordering and relabeling through:
  • orden_factor
  • grupo1_orden
  • grupo2_orden
  These arguments now accept both named and unnamed vectors:
  • Unnamed vectors reorder levels.
  • Named vectors reorder and relabel simultaneously.
• Added two real-world datasets:
  • nitrogeno_liberacion: nitrogen release dynamics from fertilizers.
  • pimiento_hibridacion: hybrid seed production dynamics in pepper.
• Added new outputs to agrobox():
  • $data: summarized dataset used in the analysis (means, sd, n).
  • $stats: ANOVA diagnostics per cluster (p-values, CV, Power).

Improvements

• Faceting now correctly respects factor level order defined by:

  • grupo1_orden
  • grupo2_orden

  This resolves previous inconsistencies with facet_grid() ordering.

• Improved handling of factor levels across all internal steps:

  • Consistent propagation of levels from raw data → analysis → plotting.
  • Prevents unintended reordering in ggplot facets.

• Cluster construction is now more robust:

  • Uses interaction() when both grouping variables are present.
  • Preserves factor levels in all grouping scenarios.

• Enhanced statistical robustness:

  • Improved handling of missing values (NA) in post-hoc comparisons.
  • Automatic suppression of letters when statistical assumptions fail.

• Improved compatibility with ggplot2 faceting behavior by enforcing factor levels prior to plotting.

Internal changes

• Refactored factor handling through aplicar_orden_labels():
  • Unified logic for ordering and relabeling across all variables.
• Reworked cluster generation logic to support:
  • Single grouping
  • Dual grouping
  • No grouping (single panel)
• Improved reconstruction of facet variables for geom_text():
  • Ensures correct placement of labels within panels.
• Cleaner separation between:
  • data preprocessing
  • statistical analysis
  • visualization
  • reporting

agrobox 0.2.1

Minor fixes

• Resubmission to CRAN after incoming checks.
• Moved magick, kableExtra, and tinytex from Imports to Suggests.

• No user-facing changes.

agrobox 0.2.0

New features

• Added agrosintesis(), a high-level wrapper to automate multi-variable ANOVA summaries using agrobox() as the core engine.
  • Supports multiple response variables.
  • Supports optional clustering through a formula interface (e.g. Variedad ~ Localidad).
  • Automatically iterates over cluster combinations and returns publication-ready summary tables.
  • When estructura = NULL, the analysis is performed globally (no clustering).
• Added agroexcel() to export agrobox and agrosintesis results to Excel (.xlsx) files.
  • Works with single tables and lists of tables.
  • Automatically creates one worksheet per cluster.
  • Sheet names are sanitized to comply with Excel and Windows limitations.
• Added agrotabla() to export result tables as high-resolution PNG images.
  • Uses LaTeX for high-quality table rendering.
  • Supports both single tables and lists of tables.
  • File names are sanitized for LaTeX and filesystem compatibility.
  • Designed for fast reporting and presentation-ready outputs.

Improvements

• Cluster labels now preserve original factor levels instead of numeric codes.
• Improved handling of factor levels when clustering is enabled.
• Column names are automatically escaped to avoid LaTeX compilation issues.
• File and sheet name sanitization improves Windows compatibility.

Internal changes

• Refactored reporting logic to separate analysis from export utilities.
• Avoided side effects in core analytical functions.
• Improved CRAN compliance by:
  • Using fully qualified namespace calls.
  • Avoiding library() calls inside functions.
  • Wrapping file-generating examples in \dontrun{}.

agrobox 0.1.1

Changes

• Improved main function performance and robustness.