print.aridagri_pca

Prints a formatted summary of Principal Component Analysis (PCA) results.

A comprehensive suite of statistical and analytical tools for
agricultural research. Includes complete analysis of variance (ANOVA)
functions for all experimental designs: Completely Randomized Design (CRD),
Randomized Block Design (RBD), Pooled RBD, Split Plot with all variations,
Split-Split Plot, Strip Plot, Latin Square, Factorial, Augmented, and Alpha
Lattice, with proper error terms and comprehensive Standard Error (SE) and
Critical Difference (CD) calculations. Features multiple post-hoc tests:
Least Significant Difference (LSD), Duncan Multiple Range Test (DMRT),
Tukey Honestly Significant Difference (HSD), Student-Newman-Keuls (SNK),
Scheffe, Bonferroni, and Dunnett, along with assumption checking and
publication-ready output. Advanced methods include stability analysis using
Eberhart-Russell regression, Additive Main Effects and Multiplicative
Interaction (AMMI), Finlay-Wilkinson regression, Shukla stability variance,
Wricke ecovalence, Coefficient of Variation (CV), and Cultivar Superiority
Index as described in Eberhart and Russell (1966)
<doi:10.2135/cropsci1966.0011183X000600010011x>. Thermal indices include
Growing Degree Days (GDD), Heliothermal Units (HTU), Photothermal Units
(PTU), and Heat Use Efficiency (HUE). Crop growth analysis covers Crop
Growth Rate (CGR), Relative Growth Rate (RGR), Net Assimilation Rate (NAR),
and Leaf Area Index (LAI). Also provides harvest index, yield gap analysis,
economic efficiency indices (Benefit-Cost ratio), nutrient use efficiency
calculations, correlation matrix, Principal Component Analysis (PCA), path
analysis, and Structural Equation Modeling (SEM). Statistical methods follow
Gomez and Gomez (1984, ISBN:0471870927) and Panse and Sukhatme (1985,
ISBN:8170271169).

Lalit Kumar Rolaniya

aridagri

Comprehensive Statistical Tools for Agricultural Research

print.aridagri_pca function

<dl><dt>x</dt>
<dd>An object of class 'aridagri_pca' from <code>pca_analysis</code></dd>
<dt>...</dt>
<dd>Additional arguments (currently unused)</dd></dl>

Arguments

Print Method for PCA Results — print.aridagri_pca

<dl>

<dt>x</dt>
<dd>An object of class 'aridagri_pca' from <code>pca_analysis</code></dd>


<dt>...</dt>
<dd>Additional arguments (currently unused)</dd>

</dl>

print.aridagri_pca: Print Method for PCA Results

Description

Usage

Value

Arguments