aridagri: Statistical Tools for Agricultural Research
Source:R/aridagri-package.R
aridagri-package.RdAnalysis of variance for the common field designs with correct error terms, standard errors, critical differences and letter groupings, plus stability analysis, repeated measures, thermal indices, crop growth analysis, nutrient use efficiency, response curves and economics.
Experimental designs
anova_crd,anova_rbd,anova_latin: single-factor designs (missing plots and unequal replication handled exactly)anova_factorial,anova_factorial_3way: factorial experimentsanova_spd,anova_spd_ab_main,anova_spd_c_main_ab_sub,anova_spd_ab_cd,anova_sspd,anova_strip: split-plot family with SE and CD for every comparisonanova_rbd_pooled,anova_spd_pooled,anova_sspd_pooled: combined analysis over environmentsanova_augmented,anova_alpha_lattice: designs for germplasm and breeding trialsanova_repeated: repeated measures with sphericity corrections and covariance-structure modelsanova_traits: publication table for many traits
Genotype x environment analysis
stability_analysis (Eberhart-Russell, AMMI,
Finlay-Wilkinson, Shukla, Wricke, CV, Lin-Binns) and
gge_biplot.
Agronomic indices
thermal_indices, day_length,
crop_growth_analysis, harvest_index,
yield_gap_analysis, economic_indices,
economic_analysis, nue_calculate,
nutrient_response.
Multivariate methods
correlation_analysis, pca_analysis,
path_analysis, sem_analysis.
Figures and export
plot_means, plot_interaction,
plot_stability, plot_response,
plot() methods, theme_aridagri (ggplot2);
arid_plot (base graphics); export_results.