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aridagri

Comprehensive Statistical Tools for Agricultural Research

aridagri is a comprehensive R package providing 35+ functions for statistical analysis in agricultural research, with special focus on experimental design analysis and agronomic calculations.

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install.packages('aridagri')

Monthly Downloads

779

Version

2.0.3

License

GPL-3

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Repository

https://github.com/lalitrolaniya/aridagri

Maintainer

Lalit Kumar Rolaniya

Last Published

February 24th, 2026

Functions in aridagri (2.0.3)

anova_spd_c_main_ab_sub

Split Plot Design with C in Main Plot, AB in Sub-Plot

anova_sspd_pooled

Pooled Split-Split Plot Design ANOVA

correlation_analysis

Correlation Analysis with Significance

Split-Split Plot Design ANOVA

anova_spd_pooled

Pooled Split Plot Design Analysis

check_assumptions

Check ANOVA Assumptions

nutrient_response

Nutrient Response Curve Analysis

============================================================================ POST-HOC TESTS AND HELPER FUNCTIONS Package: aridagri Author: Lalit Kumar Rolaniya ICAR-Indian Institute of Pulses Research, Regional Centre, Bikaner ============================================================================ Get Significance Symbol

============================================================================ ADDITIONAL EXPERIMENTAL DESIGN FUNCTIONS Package: aridagri Authors: Lalit Kumar Rolaniya, Ram Lal Jat, Monika Punia, Raja Ram Choudhary ============================================================================ Strip Plot Design ANOVA

economic_indices

Economic Efficiency Indices (B:C Ratio)

crop_growth_analysis

Crop Growth Analysis (CGR, RGR, NAR, LAI)

Nutrient Use Efficiency Calculations

Package imports

Export Results to Publication Format

aridagri-package

aridagri: Comprehensive Statistical Tools for Agricultural Research

Visualization Functions for aridagri

Path Coefficient Analysis

thermal_indices

Growing Degree Days (GDD) and Thermal Indices

stability_analysis

============================================================================ ADVANCED AGRONOMIC STATISTICAL METHODS Package: aridagri Authors: Lalit Kumar Rolaniya, Ram Lal Jat, Monika Punia, Raja Ram Choudhary ICAR-Indian Institute of Pulses Research, Regional Centre, Bikaner ICAR-Indian Institute of Groundnut Research, Regional Research Station, Bikaner ============================================================================ Stability Analysis for Agronomic Traits (Multiple Methods)

Harvest Index Calculation

perform_posthoc

Perform Post-Hoc Tests

Principal Component Analysis

Structural Equation Modeling for Field Experiments

print.aridagri_pca

Print Method for PCA Results

yield_gap_analysis

Yield Gap Analysis

economic_analysis

Economic Analysis for Arid Agriculture

anova_augmented

Augmented Block Design ANOVA

Latin Square Design ANOVA

anova_rbd_pooled

Pooled Analysis of RBD Experiments (Multi-Environment/Year)

anova_alpha_lattice

Alpha Lattice Design ANOVA

anova_spd_ab_cd

Split Plot Design with (AB) Main and (CD) Sub

anova_factorial

Factorial ANOVA (Two-Factor)

Randomized Block Design (RBD) ANOVA

============================================================================ COMPREHENSIVE EXPERIMENTAL DESIGN ANALYSIS FUNCTIONS Package: aridagri Author: Lalit Kumar Rolaniya ICAR-Indian Institute of Pulses Research, Regional Centre, Bikaner ============================================================================ Completely Randomized Design (CRD) ANOVA

============================================================================ SPLIT PLOT DESIGN ANALYSIS FUNCTIONS (All Variations) Package: aridagri Author: Lalit Kumar Rolaniya ICAR-Indian Institute of Pulses Research, Regional Centre, Bikaner ============================================================================ Split Plot Design ANOVA (Standard)

anova_factorial_3way

Three-Factor Factorial ANOVA

anova_spd_ab_main

Split Plot Design with AB in Main Plot