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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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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