- Comprehensive Graphical Engine Refactoring
(
plot_agri_graphics):
- Fully restored and optimized all plotting modules
(
residual, correlation, mean,
pca, cluster, and path) with zero
data loss.
- Resolved hardcoding issues, label bugs (such as G-1, G-2 naming
conflicts), and color palette limitations across all visualization
types.
- Implemented dynamic text sizing (
cex) and automated
genotype aggregation in PCA biplots to eliminate text overlapping and
ensure clean rendering for large datasets.
- Added unconstrained dynamic color palettes in circular dendrograms
to support unlimited cluster groups smoothly.
- Configured robust graphics state safety guards (
on.exit
and par restoration) to prevent graphical device leaks
during residual and circular cluster plotting.
- Package Infrastructure & CRAN Compliance:
- Updated version number to
0.2.0 to reflect major
functional enhancements and critical bug fixes.
- Integrated official
BugReports and GitHub repository
metadata links into the DESCRIPTION file.
- Enhanced internal error-handling and input validation routines for
all analytical payloads across statistical modules.
- Initial structural deployment of the core infrastructure.
- Integrated complete analytical engines for CRD and RCBD Analysis of
Variance (ANOVA).
- Added multiple group comparison post-hoc matrices (LSD, Tukey, and
Scheffe testing blocks).
- Integrated core statistical functions including Summary Statistics,
Correlation Analysis, Path Coefficients, and Principal Component
Analysis (PCA).
- Finalized multivariate clustering modules (Hierarchical
Agglomerative Clustering) and multi-trait plotting systems.