R: Simulation of Plot Errors and Phenotypes in Plant Breeding Field Trials

# Simulation of Plot Errors and Phenotypes in Plant Breeding Field Trials

## Documentation for package ‘FieldSimR’ version 1.4.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

compsym_asr_input | Simulate genetic values based on a compound symmetry model for GxE interaction - 'AlphaSimR' input parameters
compsym_asr_output | Simulate genetic values based on a compound symmetry model for GxE interaction - Simulation with 'AlphaSimR'
error_df_bivar | Plot errors - Example data frame
field_trial_error | Simulate plot errors in plant breeding field trials
group_cor_mat | Simulate a reduced rank correlation matrix with multiple groups
gv_df_unstr | Genetic values - Example data frame
make_phenotypes | Generate phenotypes - Combine genetic values and plot errors
multi_asr_input | Simulate genetic values based on a multiplicative model for GxE interaction - 'AlphaSimR' input parameters
multi_asr_output | Simulate genetic values based on a multiplicative model for GxE interaction - Simulation with 'AlphaSimR'
plot_effects | Graphics for plot effects
plot_hist | Histogram of values
plot_matrix | Graphics for matrices
qq_plot | Q-Q plot
rand_cor_mat | Simulate a random correlation matrix
rand_diag_mat | Simulate a random diagonal variance matrix
sample_met | Sample environments from a target population
sample_variogram | Sample variogram
skew_diag_mat | Simulate a skewed diagonal variance matrix
struc_cor_mat | Simulate a structured correlation matrix with reduced rank
theoretical_variogram | Theoretical variogram
unstr_asr_input | Simulate genetic values based on an unstructured model for GxE interaction - 'AlphaSimR' input parameters
unstr_asr_output | Simulate genetic values based on an unstructured model for GxE interaction - Simulation with 'AlphaSimR'