Simulation of Plot Errors and Phenotypes in Plant Breeding Field Trials
Simulate genetic values based on a compound symmetry model for GxE int...
Simulate genetic values based on a compound symmetry model for GxE int...
Simulate plot errors in plant breeding field trials
Simulate a reduced rank correlation matrix with multiple groups
Generate phenotypes - Combine genetic values and plot errors
Simulate genetic values based on a multiplicative model for GxE intera...
Simulate genetic values based on a multiplicative model for GxE intera...
Graphics for plot effects
Histogram of values
Graphics for matrices
Q-Q plot
Simulate a random correlation matrix
Simulate a random diagonal variance matrix
Sample environments from a target population
Sample variogram
Simulate a skewed diagonal variance matrix
Simulate a structured correlation matrix with reduced rank
Theoretical variogram
Simulate genetic values based on an unstructured model for GxE interac...
Simulate genetic values based on an unstructured model for GxE interac...
Simulates plot data in multi-environment field trials with one or more traits. Its core function generates plot errors that capture spatial trend, random error (noise), and extraneous variation, which are combined at a user-defined ratio. Phenotypes can be generated by combining the plot errors with simulated genetic values that capture genotype-by-environment (GxE) interaction using wrapper functions for the R package `AlphaSimR`.
Useful links