Yield Gap Analysis Using Comparative Performance Analysis

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Documentation for package ‘VeraCrop’ version 0.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

add_missing_indicators	Add Missing Indicators
adjust_intercept	Adjust Intercept After Back-Transformation
back_transform_coefficients	Back-transform Coefficients to Original Scale
back_transform_data	Back-transform Data
bootstrap_cpa	Bootstrap Confidence Intervals for the CPA Yield Gap Decomposition
calculate_minmax_effects	Calculate Min-Max Effects of Variables on Yield
calculate_opt_values	Calculate Optimal Values for Selected Variables
calculate_relative_importance	Calculate Relative Importance of Variables
check_assumptions	Check Linear Regression Assumptions
check_data_ready	Quick Check for Data Readiness
detect_variable_types	Detect variable types
encode_variables	Encode variables for statistical models
filter_variables	Apply All Filtering Steps
group_high_cardinality	Group levels of high-cardinality categorical variables
handle_missing_values	Handle Missing Values
missing_summary	Quick Missing Value Summary
model_diagnostics	Quick Model Summary with Assumption Checks
pareto_analysis	Pareto Analysis of Yield Gap Contributions
plot_all_graphs	Generate All Yield Gap Plots
plot_contribution_shares	Plot Variable Contributions to Yield Gap
plot_minmax_effects	Plot Min-Max Effects of Variables on Yield
plot_observed_vs_predicted	Plot Observed vs. Predicted Yield
plot_relative_importance	Plot Relative Importance of Variables
plot_yield_gap_distribution	Plot Distribution of Yield Gap Across Fields
preprocessing_report	Create a Preprocessing Report
prep_yield_gap	Main Preprocessing Pipeline for Yield Gap Analysis
remove_constant_vars	Remove Constant Variables
remove_highly_correlated	Remove Highly Correlated Variables
remove_near_zero_variance	Remove Near Zero Variance Variables
remove_non_predictors	Remove Non-Predictor Variables
save_field_level_excel	Save Field-Level Yield Gap Analysis to Excel
save_results_excel	Save Yield Gap Analysis Results to Excel
scale_new_data	Scale New Data Using Existing Parameters
scale_variables	Scale Continuous Variables
select_vars_aic	Variable Selection via AIC-Based Stepwise Regression
select_vars_ftest	Forward Stepwise Variable Selection Using F-test
sugarcane1	Sugarcane Yield Trial Data
summary_scaling	Get Scaling Summary
trim_whitespace	Trim leading/trailing whitespace from character columns
validate_model_with_cv	k-Fold Cross-Validation for Yield Gap Model
validate_preprocessing	Validate Preprocessing Results
wheat1	Wheat Yield Trial Data (Clean)
wheat2	Wheat Yield Trial Data (Small, High-Dimensional, Real-World Messy)
yield_gap_analysis	Complete Yield Gap Analysis Using CPA Method
yield_gap_components	Calculate Yield Gap Components from CPA Table