NEWS

estadisticaFcaUnl 0.5.0

Added new function chi.test() to perform hypothesis testing and confidence intervals for a single population variance using the Chi-squared distribution. Supports raw data vectors (x) or sample summary statistics (s2, n).

Updated z_score() with default NULL parameters, improved error handling, and listing available columns when col is missing or invalid.
Updated z_score() console output formatting to display $\pm 2\sigma$ and $\pm 3\sigma$ using unicode escape characters.
Added @keywords internal to individual datasets in R/datasets_estb.R and R/datasets_estex.R to keep R-Universe web reference index clean while maintaining full help support (?dataset) in RStudio.

Added _pkgdown.yml configuration to organize and categorize package documentation reference sections on R-Universe.

Added new function z_score() to compute standardized z-scores and report counts of mild ($\pm 2\sigma$) and severe ($\pm 3\sigma$) outliers.
Updated vallas_outliers() to report counts of mild and severe outliers when a dataset is provided.
Cleaned up unused local variables in vallas_outliers().

Converted code string literals to unicode escape sequences to eliminate R CMD check non-ASCII warnings.
Added .n_cell and .target_media to global variables list in R/globals.R and formatted example line lengths to achieve 100% OK status in R CMD check.

Added NeedsCompilation: no to DESCRIPTION so that installation from source on Windows does not require Rtools.

Added detailed print output for er_bloqueo() displaying Mean Squares (CM) used and the correction factor.
Added automatic alerts in er_bloqueo() console outputs evaluating and concluding the experiment's precision.

Implemented er_bloqueo() to calculate relative blocking efficiency for "DCAvsDBCA" (DCA vs DBCA) and "DBCAvsDCL" (DBCA vs DCL).
Added comparacion parameter to er_bloqueo() to choose between DCA vs DBCA and DBCA vs DCL comparison modes.
Formatted output to display rounded values (2 decimal places) using cli in console, while returning the numeric value invisibly.
Added package documentation and examples.

Added roxygen2 documentation for 14 experimental statistics datasets: almacenamiento_carne, cangrejo_ermitanio, competencia, fert_trigo_bajo_riego, densidad_trigo_riego_suelo, corderos_des, citricos, lodos, cebada_salinidad, camarones, cemento, forestal_alt, cesped_compactacion, and cesped_golf.
Updated R/documentation_groups.R to register these datasets under the datasets_estex group in alphabetical order.
Updated pending/PENDING_EST2_DATASETS.md checklist of pending datasets.

Added a numerical tolerance parameter tol to verificar_ortogonalidad() to prevent floating-point comparison errors with non-integer contrast matrices.
Added support for one-proportion Z-test in z.test() when p1 and n1 are specified and p2/n2 are omitted.
Updated package documentation and examples for z.test().

Reverted column name accent removals across pesada_novillos (Días, Días_total), especies (Número), arroz_pd (Repetición), and cana_pd (Método) to preserve compatibility with scripts/exercises that import raw .xlsx files directly.
Updated package documentation and re-generated internal .rda dataset files to match the reverted column names.

Added roxygen2 documentation for 55 basic statistics datasets (including molinos, alimento, maiz, corderos, sorgo, ovejas, balanceado_cerdos, pezoneras, establecimientos, neumaticos_tractores, glifosato, barrenador, penetrometro, TRC, concentracion_insecticida, neumaticos, peso_balanceado, raciones, cerdos, ganancia_novillos, N_suelo, efectividad_sembradora, lesiones_hojas, dieta_bufalos, colesterol, MS_girasol, dietas_pollos, germinacion, algodon, educacion, semilla, albumen, insectos, monedas, capturados, susceptibilidad, actividad, razas, semillas, arvejas, agua_forrajera, area_trigo, coleoptero, P_maiz, lluvia_forraje, hileras_maiz, calificaciones, semilla_trigo, huevos, pollos, fungicida, proteina_caseina, and dosis_tomate).
Updated R/documentation_groups.R to register all 67 basic statistics datasets under the datasets_estb group in alphabetical order.
Cleaned column names across several datasets to remove written accents/tildes while preserving original capitalization (Días and Días_total to Dias and Dias_total in pesada_novillos; Número to Numero in especies; Repetición to Repeticion in arroz_pd; Método to Metodo in cana_pd).
Re-generated internal .rda dataset files and updated package documentation via devtools::document().

Added new function forzar_efecto(): Manipulates ANOVA effect significance.
Added new function ajustar_variables(): Adjusts distribution properties (mean, sd, shape, outliers).
Improved forzar_efecto() logic: significativo = FALSE now generates realistic non-significant p-values using inverse magnitude scaling.
Updated ajustar_variables():
- Added support for list() inputs in grouped dataframes to handle explicit NULL values per group.
- Added mantener_originales argument to preserve original statistics when parameters are unspecified.
- Added validation to ensure sample size ($N > 1$) to prevent calculation errors.
Renamed forzar_efecto() to ajustar_significancia():
- Renamed parameter significativo to sig and made it mandatory.
- Added support for RCBD designs (cells with N=1) by injecting residual noise.
- Implemented early exit if the desired significance state is already met.
Updated documentation: Recommended pak::pkg_install() for installation instead of devtools::install_github() to align with modern R standards and avoid deprecation warnings.

Refactored vallas_outliers: removed plotting logic and updated return type (now data.frame).
Added geom_vallas(): a new ggplot2 geometry to plot outlier fences.
geom_vallas() supports direct color customization (color_interna, color_externa), line width (linewidth), and label size (size_texto).
geom_vallas() includes a mostrar_vallas parameter to filter internal/external fences.
Internal implementation uses multiple layers to allow independent styling and facet support.
Integrated cli package for improved console output in vallas_outliers, verificar_ortogonalidad, install.local_repo, and mkminiCRAN.

Added new function: verificar_ortogonalidad for checking orthogonality of contrast matrices.
Added examples to z.test documentation.
Added new datasets.
Added new datasets: productores.
Fixed import issue in superficies_EAP dataset where some records were missing.
Corrected data types for date and time columns in pesada_novillos dataset.
Improved vallas_outliers to explicitly unname quantile inputs, preventing issues with named vectors.
Changed vallas_outliers return type to a data.frame to support $ operator access.
Documentation updates and minor fixes.